The Internet of Things is moving into the mainstream and this new world of data-driven products is transforming a vast number of industry sectors and technologies.
However, IoT creates a new challenge: how to build and operationalize continual data ingestion from such a wide and ever-changing array of endpoints so that the data arrives consumption-ready and can drive analysis and action within the business.
In this webinar, Sean Anderson from Cloudera and Kirit Busu, Director of Product Management at StreamSets, will discuss Hadoop's ecosystem and IoT capabilities and provide advice about common patterns and best practices. Using specific examples, they will demonstrate how to build and run end-to-end IOT data flows using StreamSets and Cloudera infrastructure.
Introducing Cloudera Navigator Optimizer: Offload Assessments and Active Data...Cloudera, Inc.
Cloudera Enterprise can be used as an adaptive, high-performance analytic database, complementing existing data warehouses by relieving the pressure of growing numbers of ETL jobs and BI analytics. But where do you get started when developing your offload strategy? How can you identify which workloads are the best fit for which system? And once you’re up and running, how can you constantly adapt to Hadoop’s changing data needs?
Cloudera Navigator Optimizer eases the path for moving the right workloads to Hadoop and then actively manages data allowing you to take advantage of Hadoop’s benefits. Now generally available with the recent release of Cloudera 5.8 and a unique part of Cloudera’s analytic database solution, Navigator Optimizer gives you the workload visibility and assessments to build a predictable offload plan, adapt to evolving data and workload demands, and optimize query performance for Hadoop technologies
3 Things to Learn:
Join Ewa Ding, Senior Product Manager at Cloudera, as she discusses:
-An overview of Cloudera Navigator Optimizer and its key features
-A live demo and key use cases of this web-based tool
-What’s next for active data optimization in Hadoop
Big data journey to the cloud maz chaudhri 5.30.18Cloudera, Inc.
We hope this session was valuable in teaching you more about Cloudera Enterprise on AWS, and how fast and easy it is to deploy a modern data management platform—in your cloud and on your terms.
Data is being generated at a feverish pace and many businesses want all of it at their disposal to solve complex strategic problems. As decision making moves to real-time, enterprises need data ready for analysis immediately. Sean Anderson and Amandeep Khurana will discuss common pipeline trends in modern streaming architectures, Hadoop components that enable streaming capabilities, and popular use cases that are enabling the world of IOT and real-time data science.
High-Performance Analytics in the Cloud with Apache ImpalaCloudera, Inc.
With more and more data being generated and stored in the cloud, you need a modern data platform that can extend to any environment so you can derive value from all your data. Cloudera Enterprise is the leading enterprise Hadoop platform for cloud deployments. It’s the easiest way to manage and secure Hadoop data across any cloud environment and includes component-level support for cloud-native object stores. This makes the platform uniquely suited to handle transient jobs like ETL and BI analytics, as well as persistent workloads like stream processing and advanced analytics.
With the recent release of Cloudera 5.8, Apache Impala (incubating) has added support for Amazon S3, enabling business analysts to get instant insights from all data through high-performance exploratory analytics and BI.
3 Things to learn:
Join David Tishgart, Director of Product Marketing, and James Curtis, Senior Analyst Data Platforms & Analytics at 451 Research, as they discuss:
* Best practices for analytic workloads in the cloud
* A live demo and real-world use cases
* What’s next for Cloudera and the cloud
Preparing for the Cybersecurity RenaissanceCloudera, Inc.
We are in the midst of a fundamental shift in the way in which organizations protect themselves from the modern adversary.
Traditional rules based cybersecurity applications of the past are not able to protect organizations in the new mobile, social, and hyper-connected world they now operate within. However, the convergence of big data technology, analytic advancements, and a variety of other factors have sparked a cybersecurity renaissance that will forever change the way in which organizations protect themselves.
Join Rocky DeStefano, Cloudera's Cybersecurity subject matter expert, as he explores how modern organizations are protecting themselves from more frequent, sophisticated attacks.
During this webinar you will learn about:
The current challenges cybersecurity professionals are facing today
How big data technologies are extending the capabilities of cybersecurity applications
Cloudera customers that are future proofing their cybersecurity posture with Cloudera’s next generation data and analytics management system
Comment développer une stratégie Big Data dans le cloud public avec l'offre P...Cloudera, Inc.
Le cloud public est une proposition attractive pour les entreprises à la recherche d’agilité dans leurs projets big data, qu’il s’agisse de traiter des données en masse ou d’y exécuter des analyses complexes pour une meilleure prise de décision.
Making Self-Service BI a Reality in the EnterpriseCloudera, Inc.
For most analysts, the pace of analytics and data science can be frustrating. The common waterfall approach works well for the fixed reports, but it can be a lengthy process to request additional data sets, create new reports, or serve new use cases. So it’s no surprise that organizations are looking to shift towards a self-service model, empowering business users to discover and iterate quickly.
However, it’s not just about opening up this access, but also ensuring the results are accurate and trusted. When there are petabytes of data, how does a user know which tables to use and which are most relevant? How do you strike the balance between discovery and agility, while still meeting enterprise governance standards to truly get more value from your data?
During this webinar, you’ll learn how to empower end-users to make self-service BI a reality within your organization while fostering governance collaboration between all data stakeholders. We’ll discuss and demo:
Strategies of consolidating data across silos for fast, flexible access
Enabling easy discovery and exploration, including understanding which data to trust and where to start
New capabilities for intelligent query assistance as well as immediate performance optimizations and recommendations as-you-go
Collaboration and access outside of just SQL for data science and beyond
In addition, we will walk through best practices and considerations when developing your organizational strategy around self-service analytics, and highlight several real-world success stories from a wide range of industries.
3 things to learn:
Strategies of consolidating data across silos for fast, flexible access
Enabling easy discovery and exploration, including understanding which data to trust and where to start
New capabilities for intelligent query assistance as well as immediate performance optimizations and recommendations as-you-go
Driving Better Products with Customer Intelligence Cloudera, Inc.
In today’s fast moving world, the ability to capture and process massive amounts of data and make valuable insights is key to gaining a competitive advantage. For RingCentral, a leader in Unified Communications, this is very true since they work with over 350,000 organizations worldwide. With such scale, it can be difficult to address quality issues when they appear while supporting additional calls.
The Big Picture: Learned Behaviors in ChurnCloudera, Inc.
The Big Picture webinar series explores how industries define their strategies for understanding their consumers better using data. From issuing better healthcare to smarter product and services recommendations, data is the fueling foundation for success. Cloudera is a modern platform that gives analytic access to users that need to understand their customers across multiple touch points and multiple enterprise systems. Cloudera not only unlocks the promise of true customer 360 but it also leverages advanced capabilities for data science and machine learning.
In this webinar, we take a look at how data scientists can leverage Cloudera to identify and predict a common customer loyalty use case in telecommunications. We will explore the data, design our features, and then leverage Apache Spark to help us make some predictions on the accuracy of our finding. All within a secure and collaborative environments utilizing the Cloudera Data Science Workbench.
Topics including: The transformative value of real-time data and analytics, and current barriers to adoption. The importance of an end-to-end solution for data-in-motion that includes ingestion, processing, and serving. Apache Kudu’s role in simplifying real-time architectures.
Big data journey to the cloud rohit pujari 5.30.18Cloudera, Inc.
We hope this session was valuable in teaching you more about Cloudera Enterprise on AWS, and how fast and easy it is to deploy a modern data management platform—in your cloud and on your terms.
The 6th Wave of Automation: Automation of Decisions | Cloudera Analytics & Ma...Cloudera, Inc.
This presentation provides detail on how we are now in the 6th wave of automation, that is based on Machine Learning. In this 6th wave, Cloudera plays a critical role in providing the data platform for Machine Learning and Analytics built for the Cloud.
Extreme Sports & Beyond: Exploring a new frontier in data with GoProCloudera, Inc.
GoPro is a powerful global brand, thanks in large part to its innovative cameras and accessories that capture moments other cameras just miss: surfing in Maui, skiing in Tahoe, recording your child’s first steps. And today, the company is nearly as well known for its user-generated social and content networks.
Join us for this special webinar hosted by Tableau, Trifacta, and Cloudera—featuring GoPro. We’ll dive into GoPro’s data strategy and architecture, from ingest and processing to data prep and reporting, all on AWS.
Consolidate your data marts for fast, flexible analytics 5.24.18Cloudera, Inc.
In this webinar, Cloudera and AtScale will showcase:
How a company can modernize their analytic architecture to deliver flexibility and agility to more end-users.
How using AtScale’s Universal Semantic layer can end the data chaos and allow business users to use the data in the modern platform.
Highlight the performance of AtScale and Cloudera’s analytic database with newly completed TPC-DS standard benchmarking.
Best practices for migrating from legacy appliances.
Risk Management for Data: Secured and GovernedCloudera, Inc.
Cloudera Tech Day Presentation by Eddie Garcia, Chief Security Architect, Cloudera. Protecting enterprise data is an increasingly complex challenge given the diversity and sophistication of threat actors and their cyber-tactics. In this session, participants will hear a comprehensive introduction to Hadoop Security, including the “three A’s” for secure operating environments: Authentication, Authorization, and Audit. In addition, the presenter will cover strategies to orchestrate data security, encryption, and compliance, and will explain the Cloudera Security Maturity Model for Hadoop. Attendees will leave with a greater understanding of how effective INFOSEC relies on an enterprise big data governance and risk management approach.
3 Things to Learn:
-How data is driving digital transformation to help businesses innovate rapidly
-How Choice Hotels (one of largest hoteliers) is using Cloudera Enterprise to gain meaningful insights that drive their business
-How Choice Hotels has transformed business through innovative use of Apache Hadoop, Cloudera Enterprise, and deployment in the cloud — from developing customer experiences to meeting IT compliance requirements
Part 1: Cloudera’s Analytic Database: BI & SQL Analytics in a Hybrid Cloud WorldCloudera, Inc.
3 Things to Learn About:
* On-premises versus the cloud: What’s the same and what’s different?
* Design and benefits of analytics in the cloud
* Best practices and architectural considerations
Discover the origins of big data, discuss existing and new projects, share common use cases for those projects, and explain how you can modernize your architecture using data analytics, data operations, data engineering and data science.
Big Data Fundamentals is your prerequisite to building a modern platform for machine learning and analytics optimized for the cloud.
We’ll close out with a live Q&A with some of our technical experts as well.
Stretch your brain with a packed agenda:
Open source software
Data storage
Data ingestion
Data analytics
Data engineering
IoT and life after Lambda architectures
Data science
Cybersecurity
Cluster management
Big data in the cloud
Success stories
Evolution from Apache Hadoop to the Enterprise Data Hub by Cloudera - ArabNet...ArabNet ME
A new foundation for the Modern Information Architecture.
Speaker: Amr Awadallah, CTO & Cofounder, Cloudera
Our legacy information architecture is not able to cope with the realities of today's business. This is because it is not able to scale to meet our SLAs due to separation of storage and compute, economically store the volumes and types of data we currently confront, provide the agility necessary for innovation, and most importantly, provide a full 360 degree view of our customers, products, and business. In this talk Dr. Amr Awadallah will present the Enterprise Data Hub (EDH) as the new foundation for the modern information architecture. Built with Apache Hadoop at the core, the EDH is an extremely scalable, flexible, and fault-tolerant, data processing system designed to put data at the center of your business.
3 Things to Learn About:
*The IoT ecosystem and data management considerations for IoT
*Top IoT use cases and data architecture strategies for managing the sheer volume and variety of IoT data
*Real-life case studies on how our customers are using Cloudera Enterprise to drive insights and analytics from all of their IoT data
IoT is reshaping the manufacturing and industrial processes, effectively changing the paradigm from one of repair and replace to more of predict and prevent. Using data streaming from connected equipment and machinery, organizations can now monitor the health of their assets and effectively predict when and how an asset might fail. However, without the right data management strategy and tools, investments in IoT can yield limited results. Join Cloudera and Tata Consultancy Services (TCS) for a joint webinar to learn more about how organizations are using advanced analytics and machine learning to drive IoT enabled predictive maintenance.
Simplifying Real-Time Architectures for IoT with Apache KuduCloudera, Inc.
3 Things to Learn About:
*Building scalable real time architectures for managing data from IoT
*Processing data in real time with components such as Kudu & Spark
*Customer case studies highlighting real-time IoT use cases
Leveraging the Cloud for Big Data Analytics 12.11.18Cloudera, Inc.
Learn how organizations are deriving unique customer insights, improving product and services efficiency, and reducing business risk with a modern big data architecture powered by Cloudera on AWS. In this webinar, you see how fast and easy it is to deploy a modern data management platform—in your cloud, on your terms.
How to Architect a Serverless Cloud Data Lake for Enhanced Data AnalyticsInformatica
This presentation is geared toward enterprise architects and senior IT leaders looking to drive more value from their data by learning about cloud data lake management.
As businesses focus on leveraging big data to drive digital transformation, technology leaders are struggling to keep pace with the high volume of data coming in at high speed and rapidly evolving technologies. What's needed is an approach that helps you turn petabytes into profit.
Cloud data lakes and cloud data warehouses have emerged as a popular architectural pattern to support next-generation analytics. Informatica's comprehensive AI-driven cloud data lake management solution natively ingests, streams, integrates, cleanses, governs, protects and processes big data workloads in multi-cloud environments.
Please leave any questions or comments below.
Limitless Data, Rapid Discovery, Powerful Insight: How to Connect Cloudera to...Cloudera, Inc.
What if…
…your data stores were limitless and accessible?
…data discovery was fast… really fast?
…connectivity was so seamless you could almost take it for granted?
And what if you could do all this with your preferred BI tool?
Learn how to integrate Cloudera Enterprise with SAP Lumira via embedded connectivity from Simba Technologies.
In this interactive webinar, experts from Cloudera, SAP, and Simba Technologies will introduce strategies for overcoming current data-discovery challenges, show you how to achieve powerful analytical insight, and demonstrate how to integrate Cloudera Enterprise with SAP Lumira.
Delivering Data Democratization in the Cloud with SnowflakeKent Graziano
This is a brief introduction to Snowflake Cloud Data Platform and our revolutionary architecture. It contains a discussion of some of our unique features along with some real world metrics from our global customer base.
Manufacturers have an abundance of data, whether from connected sensors, plant systems, manufacturing systems, claims systems and external data from industry and government. Manufacturers face increased challenges from continually improving product quality, reducing warranty and recall costs to efficiently leveraging their supply chain. For example, giving the manufacturer a complete view of the product and customer information integrating manufacturing and plant floor data, with as built product configurations with sensor data from customer use to efficiently analyze warranty claim information to reduce detection to correction time, detect fraud and even become proactive around issues requires a capable enterprise data hub that integrates large volumes of both structured and unstructured information. Learn how an enterprise data hub built on Hadoop provides the tools to support analysis at every level in the manufacturing organization.
Join us for a series of introductory and technical sessions on AWS Big Data solutions. Gain a thorough understanding of what Amazon Web Services offers across the big data lifecycle and learn architectural best practices for applying those solutions to your projects.
We will kick off this technical seminar in the morning with an introduction to the AWS Big Data platform, including a discussion of popular use cases and reference architectures. In the afternoon, we will deep dive into Machine Learning and Streaming Analytics. We will then walk everyone through building your first Big Data application with AWS.
CL2015 - Datacenter and Cloud Strategy and PlanningCisco
This document discusses strategies for data center and cloud transformation over the next 5 years. It outlines key digital business trends like data growth, cloud adoption, and security threats that are driving organizations' IT initiatives. These include managing increased data and applications, optimizing cloud strategies, addressing disruptive business models, and securing distributed data and applications. The document advocates adopting flexible consumption models, automation, and supporting edge/IoT applications. It positions Cisco as uniquely able to enable digital transformations through its portfolio of networking, compute, storage, automation, analytics, and security solutions.
DataStax Enterprise 4.6, the fastest, most scalable distributed database now integrates Apache Spark analytics on streaming data while providing enterprise-grade backup and restore capabilities to safeguard critical and distributed customer information.
Join established database expert and DataStax's VP of Products, Robin Schumacher, as he explores new capabilities in DataStax Enterprise 4.6 including security enhancements, analytics on streaming data and increased performance for modern web, mobile and IoT applications. Robin will discuss how the new OpsCenter 5.1 makes backup and restore processes push-button simple with the option of restoring critical data to and from the cloud taking the burden off database administrators.
Watch to learn how
- Faster and easier analytics with Spark SQL and Spark Streaming and simplified search make it easy to build scalable fault-tolerant streaming applications
- Enhanced server security with LDAP and Active Directory integration for easier external security management
- An automated high availability option allows a secondary OpsCenter service to take over, should a failure occur so your maintenance operations are always running
Get Started with Cloudera’s Cyber SolutionCloudera, Inc.
Cloudera empowers cybersecurity innovators to proactively secure the enterprise by accelerating threat detection, investigation, and response through machine learning and complete enterprise visibility. Cloudera’s cybersecurity solution, based on Apache Spot, enables anomaly detection, behavior analytics, and comprehensive access across all enterprise data using an open, scalable platform. But what’s the easiest way to get started?
Join Cloudera, StreamSets, and Arcadia Data as we show you first hand how we have made it easier to get your first use case up and running. During this session you will learn:
Signs you need Cloudera’s cybersecurity solution
How StreamSets can help increase enterprise visibility
Providing your security analyst the right context at the right time with modern visualizations
3 things to learn:
Signs you need Cloudera’s cybersecurity solution
How StreamSets can help increase enterprise visibility
Providing your security analyst the right context at the right time with modern visualizations
Get started with Cloudera's cyber solutionCloudera, Inc.
Cloudera empowers cybersecurity innovators to proactively secure the enterprise by accelerating threat detection, investigation, and response through machine learning and complete enterprise visibility. Cloudera’s cybersecurity solution, based on Apache Spot, enables anomaly detection, behavior analytics, and comprehensive access across all enterprise data using an open, scalable platform. But what’s the easiest way to get started?
The Future of Data Management: The Enterprise Data HubCloudera, Inc.
The document discusses the future of data management through the use of an enterprise data hub (EDH). It notes that an EDH provides a centralized platform for ingesting, storing, exploring, processing, analyzing and serving diverse data from across an organization on a large scale in a cost effective manner. This approach overcomes limitations of traditional data silos and enables new analytic capabilities.
Intel and Cloudera: Accelerating Enterprise Big Data SuccessCloudera, Inc.
The data center has gone through several inflection points in the past decades: adoption of Linux, migration from physical infrastructure to virtualization and Cloud, and now large-scale data analytics with Big Data and Hadoop.
Please join us to learn about how Cloudera and Intel are jointly innovating through open source software to enable Hadoop to run best on IA (Intel Architecture) and to foster the evolution of a vibrant Big Data ecosystem.
Hadoop and Spark are big data frameworks used to extract useful span a variety of scenarios from ingestion, data prep, data management, processing, analyzing and visualizing data. Each step requires specialized toolsets to be productive. In this talk I will share solution examples in the Big Data ecosystem such as Cask, StreamSets, Datameer, AtScale, Dataiku on Microsoft’s Azure HDInsight that simplify your Big Data solutions. Azure HDInsight is a cloud Spark and Hadoop service for the enterprise and take advantage of all the benefits of HDInsight giving you the best of both worlds. Join this session for practical information that will enable faster time to insights for you and your business.
Track 1 Session 6_建立安全高效的資料分析平台加速金融創新_HC+EMQ Cliff(已檢核,上下無黑邊).pptxAmazon Web Services
This document discusses building a secure and efficient data analytics platform on AWS to accelerate financial innovation. It covers moving data to AWS services like S3 for storage, using AWS Glue for ETL processing, and Amazon Athena and QuickSight for analytics. AWS services provide comprehensive and open data services, a secure infrastructure, and make it easy to build a modern data platform. The document also shares how a fintech company EMQ migrated their data pipeline to serverless AWS services like Glue and Athena, improving query performance, reducing costs, and simplifying maintenance.
Meetup Streaming Data Pipeline DevelopmentTimothy Spann
Meetup Streaming Data Pipeline Development
28 June 2023 6pm EST
Milwaukee meetup
https://www.meetup.com/futureofdata-princeton/events/292976004/
Details
This will be a hybrid event with a Zoom. The in-person event will be in Milwaukee.
In this interactive session, Tim will lead participants through how to best build streaming data pipelines. He will cover how to build applications from some common use cases and highlight tips, tricks, best practices and patterns.
He will show how to build the easy way and then dive deep into the underlying open source technologies including Apache NiFi, Apache Flink, Apache Kafka and Apache Iceberg.
If you wish to follow along, please download open source projects beforehand. You can also download this helpful streaming platform: https://docs.cloudera.com/csp-ce/latest/installation/topics/csp-ce-installing-ce.html
All source code and slides will be shared for those interested in building their own FLaNK Apps. https://www.flankstack.dev/
https://www.thecapitalgrille.com/locations/wi/milwaukee/milwaukee/8027
The Capital Grille 310 W Wisconsin Ave, Milwaukee, WI 53203
limited seating, preference will be given to NLIT attendees
A peak at the menu (Not Pizza)
RISOTTO FRITTERS WITH FRESH MOZZARELLA AND PROSCIUTTO
SLICED SIRLOIN WITH ROQUEFORT AND BALSAMIC ONIONS
MINIATURE LOBSTER AND CRAB CAKES
WILD MUSHROOM AND HERBED CHEESE
You can join the meeting virtually here (no meat or cheese virtually):
Future of Data Milwaukee Meetup Streaming Data Pipeline Development 28 June 2023ssuser73434e
Future of Data Milwaukee Meetup Streaming Data Pipeline Development 28 June 2023
Future of Data: New Jersey - Princeton, Edison, Holmdel
This will be a hybrid event with a Zoom. The in-person event will be in Milwaukee.
In this interactive session, Tim will lead participants through how to best build streaming data pipelines. He will cover how to build applications from some common use cases and highlight tips, tricks, best practices and patterns.
He will show how to build the easy way and then dive deep into the underlying open source technologies including Apache NiFi, Apache Flink, Apache Kafka and Apache Iceberg.
If you wish to follow along, please download open source projects beforehand. You can also download this helpful streaming platform: https://docs.cloudera.com/csp-ce/latest/installation/topics/csp-ce-installing-ce.html
All source code and slides will be shared for those interested in building their own FLaNK Apps. https://www.flankstack.dev/
https://www.thecapitalgrille.com/locations/wi/milwaukee/milwaukee/8027
The Capital Grille 310 W Wisconsin Ave, Milwaukee, WI 53203
limited seating, preference will be given to NLIT attendees
A peak at the menu (Not Pizza)
RISOTTO FRITTERS WITH FRESH MOZZARELLA AND PROSCIUTTO
SLICED SIRLOIN WITH ROQUEFORT AND BALSAMIC ONIONS
MINIATURE LOBSTER AND CRAB CAKES
WILD MUSHROOM AND HERBED CHEESE
You can join the meeting virtually here (no meat or cheese virtually):
Similar to How to Build Continuous Ingestion for the Internet of Things (20)
The document discusses using Cloudera DataFlow to address challenges with collecting, processing, and analyzing log data across many systems and devices. It provides an example use case of logging modernization to reduce costs and enable security solutions by filtering noise from logs. The presentation shows how DataFlow can extract relevant events from large volumes of raw log data and normalize the data to make security threats and anomalies easier to detect across many machines.
Cloudera Data Impact Awards 2021 - Finalists Cloudera, Inc.
The document outlines the 2021 finalists for the annual Data Impact Awards program, which recognizes organizations using Cloudera's platform and the impactful applications they have developed. It provides details on the challenges, solutions, and outcomes for each finalist project in the categories of Data Lifecycle Connection, Cloud Innovation, Data for Enterprise AI, Security & Governance Leadership, Industry Transformation, People First, and Data for Good. There are multiple finalists highlighted in each category demonstrating innovative uses of data and analytics.
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The document outlines the agenda for Cloudera's Enterprise Data Cloud event in Vienna. It includes welcome remarks, keynotes on Cloudera's vision and customer success stories. There will be presentations on the new Cloudera Data Platform and customer case studies, followed by closing remarks. The schedule includes sessions on Cloudera's approach to data warehousing, machine learning, streaming and multi-cloud capabilities.
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Watch this webinar to understand how Hortonworks DataFlow (HDF) has evolved into the new Cloudera DataFlow (CDF). Learn about key capabilities that CDF delivers such as -
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Cloudera’s Data Science Workbench (CDSW) is available for Hortonworks Data Platform (HDP) clusters for secure, collaborative data science at scale. During this webinar, we provide an introductory tour of CDSW and a demonstration of a machine learning workflow using CDSW on HDP.
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Join Cloudera as we outline how we use Cloudera technology to strengthen sales engagement, minimize marketing waste, and empower line of business leaders to drive successful outcomes.
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Join us to learn about the challenges of legacy data warehousing, the goals of modern data warehousing, and the design patterns and frameworks that help to accelerate modernization efforts.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
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Cloudera SDX is by no means no restricted to just the platform; it extends well beyond. In this webinar, we show you how Bardess Group’s Zero2Hero solution leverages the shared data experience to coordinate Cloudera, Trifacta, and Qlik to deliver complete customer insight.
Federated Learning: ML with Privacy on the Edge 11.15.18Cloudera, Inc.
Join Cloudera Fast Forward Labs Research Engineer, Mike Lee Williams, to hear about their latest research report and prototype on Federated Learning. Learn more about what it is, when it’s applicable, how it works, and the current landscape of tools and libraries.
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451 Research Analyst Sheryl Kingstone, and Cloudera’s Steve Totman recently discussed how a growing number of organizations are replacing legacy Customer 360 systems with Customer Insights Platforms.
Build a modern platform for anti-money laundering 9.19.18Cloudera, Inc.
In this webinar, you will learn how Cloudera and BAH riskCanvas can help you build a modern AML platform that reduces false positive rates, investigation costs, technology sprawl, and regulatory risk.
Introducing the data science sandbox as a service 8.30.18Cloudera, Inc.
How can companies integrate data science into their businesses more effectively? Watch this recorded webinar and demonstration to hear more about operationalizing data science with Cloudera Data Science Workbench on Cazena’s fully-managed cloud platform.
In this webinar, we’ll show you how Cloudera SDX reduces the complexity in your data management environment and lets you deliver diverse analytics with consistent security, governance, and lifecycle management against a shared data catalog.
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BDRSuite and BDRCloud by Vembu are comprehensive and cost-effective backup and disaster recovery solutions designed to meet the diverse data protection requirements of Businesses and Service Providers.
With BDRSuite & BDRCloud, you can backup diverse IT workloads from any location, including VMs (VMware, Hyper-V, KVM, Proxmox VE, oVirt), Servers & Endpoints (Windows, Linux, Mac), SaaS Applications (Microsoft 365, Google Workspace), Cloud VMs (AWS, Azure), NAS/File Shares and Databases & Applications (Microsoft Exchange Server, SQL Server, SharePoint Server, PostgreSQL, MySQL).
You can store backup anywhere like On-Premise/Remote storage, Private/Public Cloud, and BDRCloud.
You can centrally manage the entire backup infrastructure with BDRSuite’s self-hosted centralized management console (or) BDRCloud-hosted centralized management console.
You can quickly recover from data loss or ransomware attacks—all at an affordable price.
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Get to know Autonomous 2.0, the latest innovation from Applitools, in this sneak peek session showcasing how our AI-powered testing solutions revolutionize how you create, debug, and manage test scripts. See more and sign up for a free trial at https://applitools.info/ml6
Old Tools, New Tricks: Unleashing the Power of Time-Tested Testing ToolsBenjamin Bischoff
In the rapidly evolving landscape of software development and testing, it is tempting to chase the latest tools and technologies. However, some of the most effective solutions have been in existence for decades. In this talk, we’ll delve into the enduring value of these timeless testing tools.
We’ll explore how established tools like Selenium, GNU Make, Maven, and Bash remain vital in today’s software development and testing toolkit even though they have been around for a long time (some were even invented before I was born). I’ll share examples of how these tools have addressed our testing and automation challenges, showcasing their adaptability, versatility, and reliability in various scenarios. I aim to demonstrate that sometimes, the “old” ways can indeed be the best ways.
Unlocking the Future of Artificial IntelligencedorinIonescu
Unlock the Future: Dive into AI Today! Videnda AI specializes in developing advanced artificial intelligence solutions, including visual dictionaries and language learning tools that leverage immersive virtual travel experiences. Stay Ahead of the Curve: Master AI Now! Our AI technology integrates machine learning and neural networks to enhance education and business applications. AI: The Next Frontier. Are You Ready to Explore? With a focus on real-time AI solutions and deep learning models, Videnda AI provides innovative tools for multilingual communication and immersive learning.
In this course, you'll find a series of engaging videos packed with vibrant animations that break down complex AI concepts into digestible pieces. Our curriculum covers AI models such as Convolutional Neural Networks (CNN), Multi-Layer Perceptrons (MLP), Generative Adversarial Networks (GAN), and Transformers, providing a solid understanding of these models and their real-world applications. We also offer hands-on experience with Generative AI tools like ChatGPT and Midjourney, and Python programming tutorials to help you implement AI algorithms and build your own AI applications.
We are proud participants in the Nvidia Inception Program, driving AI innovation across various industries. By the end of our course, you'll have a strong understanding of AI principles, enhanced Python programming skills, and practical experience with state-of-the-art Generative AI tools. Whether you're looking to kickstart a career in AI or simply curious about this revolutionary technology, Videnda AI is your partner in mastering the future of artificial intelligence.
Empowering Businesses with Intelligent Software Solutions - GrawlixAarisha Shaikh
Explore Grawlix's comprehensive suite of intelligent software solutions designed to drive transformative growth and scalability for businesses. This presentation covers our expertise in bespoke software development, digital marketing, web design, cloud solutions, cybersecurity, AI/ML, and IT consulting. Discover how Grawlix's customized solutions enhance productivity, streamline processes, and enable data-driven decision-making. Learn about our key projects, technologies, and the dedicated team who ensures exceptional client satisfaction through innovation and excellence.
WebTrack 360 is a powerful analytics platform tool designed to help businesses track and analyze various aspects of their website's performance in real-time.
WebTrack 360 offers a range of features including Goal Tracking, Visitor Analysis, Real-Time Tracking, Heatmaps, Session Replays, and Team Collaboration, providing comprehensive insights into website performance.
WebTrack 360 offers a range of features including Goal Tracking, Visitor Analysis, Real-Time Tracking, Heatmaps, Session Replays, and Team Collaboration, providing comprehensive insights into website performance.
Goal Tracking in WebTrack 360 enables you to set specific goals for your website, such as conversions or user interactions, and track progress towards achieving those goals over time, helping you measure the effectiveness of your website's performance.
Crowd Strike\Windows Update Issue: Overview and Current Statusramaganesan0504
Crowd Strike\Windows Update Issue: Overview and Current Status
Discover the latest on the CrowdStrike Windows update issue, including an overview, current status, and support steps for affected customers. Learn about the identified defect, its impact on Windows hosts, and CrowdStrike's committed actions to ensure ongoing security and stability.
What is CrowdStrike?
CrowdStrike is a prominent cybersecurity technology company that specializes in providing advanced threat intelligence and endpoint protection solutions. Founded in 2011 by George Kurtz, Dmitri Alperovitch, and Gregg Marston, CrowdStrike has quickly established itself as a leader in the cybersecurity industry. Here are some key aspects of
How to Secure Your Kubernetes Software Supply Chain at ScaleAnchore
Achieving comprehensive security visibility in Kubernetes environments is essential for maintaining robust and compliant cloud-native applications. In this exclusive webinar, Anchore and Spectro Cloud team up to showcase how to enhance your Kubernetes security posture with SBOM (Software Bill of Materials) management and vulnerability scanning.
Join Cornelia Davis, VP of Product, Spectro Cloud and Alan Pope, Director of Developer Relations, Anchore to learn how to elevate your Kubernetes security visibility and protect your cloud-native applications effectively.
—Discover how Anchore can be integrated with Spectro Cloud Palette to take SBOM scanning to the next level, delivering fully automated software compliance
—Gain valuable insights into best practices for securing your Kubernetes workloads, ensuring compliance, and improving your DevSecOps processes.
Laravel has quickly become one of the leading PHP frameworks. Its elegant syntax, powerful features, and strong community backing make it a top choice for developers. This article delves into what makes Laravel development stand out and why it is considered the best PHP framework for modern web applications.
20. Poll
Where are you in your development effort for bringing IoT data into Hadoop?
• In Production
• Test and Development
• Planning (Already decided on the architecture)
• Not there yet (Need to decide on an architecture)
• Current Architecture doesn’t work, need a better way to do things
21. Challenges with IoT Data
• Multitude of Sensors
• Real-Time Streaming
• Multiple Firmware versions
• Bad data from damaged sensors
• Regulatory Constraints
• Data Quality