Presentation of the paper "On Using JSON-LD to Create Evolvable RESTful Services" at the 3rd International Workshop on RESTful Design (WS-REST 2012) at WWW2012 in Lyon, France
The document discusses using MongoDB as a tick store for financial data. It provides an overview of MongoDB and its benefits for handling tick data, including its flexible data model, rich querying capabilities, native aggregation framework, ability to do pre-aggregation for continuous data snapshots, language drivers and Hadoop connector. It also presents a case study of AHL, a quantitative hedge fund, using MongoDB and Python as their market data platform to easily onboard large volumes of financial data in different formats and provide low-latency access for backtesting and research applications.
Working With a Real-World Dataset in Neo4j: Import and ModelingNeo4j
This webinar will cover how to work with a real world dataset in Neo4j, with a focus on how to build a graph from an existing dataset (in this case a series of JSON files). We will explore how to performantly import the data into Neo4j - both in the case of an initial import and scaling writes for your graph application. We will demonstrate different approaches for data import (neo4j-import, LOAD CSV, and using the official Neo4j drivers), and discuss when it makes to use each import technique. If you've ever asked these questions, then this webinar is for you!
- How do I design a property graph model for my domain?
- How do I use the official Neo4j drivers?
- How can I deal with concurrent writes to Neo4j?
- How can I import JSON into Neo4j?
My presentation at SMX Milan 2015. New ways to compile and offer structured data to search engines for improved online visibility. Real life examples ready to use for websites and blogs.
The document discusses the evolution of hypermedia APIs and their use of JSON-LD and Hydra to define operations on resources. It shows examples of representing an event and its attendees as JSON-LD documents with Hydra definitions for POST operations to add attendees. The document concludes by thanking attendees and providing contact information for questions.
Enterprise systems are increasingly complex, often requiring data and software components to be accessed and maintained by different company departments. This complexity often becomes an organization’s biggest challenge as changing data fields and adding new applications rapidly grow to meet business demands for increased customer insights.
These slides are from a Webinar discussing how using SHACL and JSON-LD with AllegroGraph helps our customers simplify the complexity of enterprise systems through the ability to loosely combine independent elements, while allowing the overall system to function smoothly.
In this Webinar we will demonstrate how AllegroGraph’s SHACL validation engine confirms whether JSON-LD data is conforming to the desired requirements. We will describe how SHACL provides a way for a Data Graph to specify the Shapes Graph that should be used for validation and describes how a given shape is linked to targets in the data.
The recording is at youtube.com/allegrograph
Hackolade Tutorial - part 1 - What is a data modelPascalDesmarets1
First in a series of tutorials for Hackolade Studio. A data model is an abstract representation of how elements of data are organized, how they relate to each other, and how how they relate to real-world concepts...
At Stormpath we spent 18 months researching API design best practices. Join Les Hazlewood, Stormpath CTO and Apache Shiro Chair, as he explains how to design a secure REST API, the right way. He'll also hang out for a live Q&A session at the end.
Sign up for Stormpath: https://api.stormpath.com/register
More from Stormpath: http://www.stormpath.com/blog
Les will cover:
REST + JSON API Design
Base URL design tips
API Security
Versioning for APIs
API Resource Formatting
API Return Values and Content Negotiation
API References (Linking)
API Pagination, Parameters, & Errors
Method Overloading
Resource Expansion and Partial Responses
Error Handling
Multi-tenancy
Building Robust ETL Pipelines with Apache SparkDatabricks
Stable and robust ETL pipelines are a critical component of the data infrastructure of modern enterprises. ETL pipelines ingest data from a variety of sources and must handle incorrect, incomplete or inconsistent records and produce curated, consistent data for consumption by downstream applications. In this talk, we’ll take a deep dive into the technical details of how Apache Spark “reads” data and discuss how Spark 2.2’s flexible APIs; support for a wide variety of datasources; state of art Tungsten execution engine; and the ability to provide diagnostic feedback to users, making it a robust framework for building end-to-end ETL pipelines.
Getting The Best Performance With PySparkSpark Summit
This document provides an overview of techniques for getting the best performance with PySpark. It discusses RDD reuse through caching and checkpointing. It explains how to avoid issues with groupByKey by using reduceByKey or aggregateByKey instead. Spark SQL and DataFrames are presented as alternatives that can improve performance by avoiding serialization costs for Python users. The document also covers mixing Python and Scala code by exposing Scala functions to be callable from Python.
The document discusses REST API design principles and best practices. It begins by providing examples of RESTful API requests and responses. It then covers REST concepts like resources, verbs, hypermedia, content negotiation, and representation formats. The document advocates for designing APIs that are self-documenting through hypermedia and embedding links to allow discovery of available state transitions and actions. It also discusses balancing REST purism with pragmatic design choices and notes that many popular APIs are not purely RESTful but are still well-designed.
FIWARE Training: Introduction to Smart Data ModelsFIWARE
The document introduces the Smart Data Models program which provides standardized data models for various domains. It explains that the program aims to enable agile standardization through contributions from the community. It outlines the governance structure and current status of the program, including the available domains, data models, contributors and tools. Participants are then guided through an exercise to turn a data source into a Smart Data Model by generating a JSON schema, example payload and submitting it as a pull request to the incubated repository on GitHub.
Although RDF is a corner stone of semantic web and knowledge graphs, it has not been embraced by everyday programmers and software architects who need to safely create and access well-structured data. There is a lack of common tools and methodologies that are available in more conventional settings to improve data quality by defining schemas that can later be validated. Two technologies have recently been proposed for RDF validation: Shape Expressions (ShEx) and Shapes Constraint Language (SHACL). In the talk, we will review the history and motivation of both technologies. We will also and enumerate some challenges and future work with regards to RDF validation.
Slides for Data Syndrome one hour course on PySpark. Introduces basic operations, Spark SQL, Spark MLlib and exploratory data analysis with PySpark. Shows how to use pylab with Spark to create histograms.
NGSI-LD provides a more complex data model than NGSIv2 by introducing properties, relationships, and additional metadata. It evolves NGSIv2 to support linked data by making payloads valid JSON-LD. This allows for a navigable knowledge graph compared to the simpler NGSIv2 model. The document discusses the differences between the two models and provides examples of creating and reading entity data in each.
This document discusses using graphs and graph databases for machine learning. It provides an overview of graph analytics algorithms that can be used to solve problems with graph data, including recommendations, fraud detection, and network analysis. It also discusses using graph embeddings and graph neural networks for tasks like node classification and link prediction. Finally, it discusses how graphs can be used for machine learning infrastructure and metadata tasks like data provenance, audit trails, and privacy.
The presentation describes how to do Oracle ATG Queries
Please find more details in my article: software-engineering-101.com/2016/07/12/atg-repository-queries
DBA Fundamentals Group: Continuous SQL with Kafka and FlinkTimothy Spann
DBA Fundamentals Group: Continuous SQL with Kafka and Flink
20-Feb-2024
In this talk, I will walk through how someone can set up and run continuous SQL queries against Kafka topics utilizing Apache Flink. We will walk through creating Kafka topics, schemas, and publishing data.
We will then cover consuming Kafka data, joining Kafka topics, and inserting new events into Kafka topics as they arrive. This basic overview will show hands-on techniques, tips, and examples of how to do this.
Tim Spann
Tim Spann is the Principal Developer Advocate for Data in Motion @ Cloudera where he works with Apache Kafka, Apache Flink, Apache NiFi, Apache Iceberg, TensorFlow, Apache Spark, big data, the IoT, machine learning, and deep learning. Tim has over a decade of experience with the IoT, big data, distributed computing, streaming technologies, and Java programming. Previously, he was a Developer Advocate at StreamNative, Principal Field Engineer at Cloudera, a Senior Solutions Architect at AirisData and a senior field engineer at Pivotal. He blogs for DZone, where he is the Big Data Zone leader, and runs a popular meetup in Princeton on big data, the IoT, deep learning, streaming, NiFi, the blockchain, and Spark. Tim is a frequent speaker at conferences such as IoT Fusion, Strata, ApacheCon, Data Works Summit Berlin, DataWorks Summit Sydney, and Oracle Code NYC. He holds a BS and MS in computer science.
Presented by Nikola Vasilev on SkopjeTechMeetup 7.
Representational state transfer (REST) can be thought of as the language of the Internet. Now with cloud usage on the rise, REST is a logical choice for building APIs that allow end users to connect and interact with cloud services. This talk will deliver more insight into the challenges on building and maintaining good and clean RESTful APIs.
JSON-LD provides a standard representation for expressing linked data using JSON objects. It allows objects to represent entities with keys as properties, and arrays to express property values. Contexts define terms and associate properties and values with IRIs. JSON-LD brings the benefits of linked data to web applications by mapping JSON structures to RDF triples.
Aligning Web Services with the Semantic Web to Create a Global Read-Write Gra...Markus Lanthaler
Presentation of the paper "Aligning Web Services with the Semantic Web to Create a Global Read-Write Graph of Data" gave at the 9th IEEE European Conference on Web Services (ECOWS 2011) in Lugano, Switzerland.
Despite significant research and development efforts, the vision of the Semantic Web yielding to a Web of Data has not yet become reality. Even though initiatives such as Linking Open Data gained traction recently, the Web of Data is still clearly outpaced by the growth of the traditional, document-based Web. Instead of releasing data in the form of RDF, many publishers choose to publish their data in the form of Web services. The reasons for this are manifold. Given that RESTful Web services closely resemble the document-based Web, they are not only perceived as less complex and disruptive, but also provide read-write interfaces to the underlying data. In contrast, the current Semantic Web is essentially read-only which clearly inhibits net-working effects and engagement of the crowd. On the other hand, the prevalent use of proprietary schemas to represent the data published by Web services inhibits generic browsers or crawlers to access and understand this data; the consequence are islands of data instead of a global graph of data forming the envisioned Semantic Web. We thus propose a novel approach to integrate Web services into the Web of Data by introducing an algorithm to translate SPARQL queries to HTTP requests. The aim is to create a global read-write graph of data and to standardize the mashup development process. We try to keep the approach as familiar and simple as possible to lower the entry barrier and foster the adoption of our approach. Thus, we based our proposal on SEREDASj, a semantic description language for RESTful data services, for making proprietary JSON service schemas accessible.
2011 4IZ440 Semantic Web – RDF, SPARQL, and software APIsJosef Petrák
The document discusses the Semantic Web and RDF data formats. It provides an overview of RDF syntaxes like RDF/XML, N3, N-Triples, RDF/JSON, and RDFa. It also discusses software APIs for working with RDF data in languages like Java, PHP, and Ruby. The document outlines handling RDF data using statement-centric, resource-centric, and ontology-centric models, as well as named graphs. It provides examples of reading RDF data from files and querying RDF data using SPARQL.
A Semantic Description Language for RESTful Data Services to Combat SemaphobiaMarkus Lanthaler
The document proposes a semantic description language (SEREDASj) to provide machine-readable descriptions of RESTful web services. It aims to address the lack of standards for describing REST APIs and help combat "semaphobia", the fear of semantics. The language builds on previous work but is tailored specifically for REST by focusing on simplicity and supporting many use cases including discovery and composition of RESTful services.
This document provides an overview of designing beautiful REST+JSON APIs. It discusses REST fundamentals like resources, methods, media types, and hypermedia as the engine of application state (HATEOAS). It covers best practices for API design like base URLs, versioning, resource formats, linking, pagination, and more. The goal is to help API providers design APIs that are easy for developers to consume while also being scalable and secure.
This document contains information from a Twitter engineering presentation about the Twitter API and core objects like users, timelines, tweets, and the social graph. It includes examples of user and tweet JSON structures, as well as screenshots and links to documentation, code samples, and visualizations related to analyzing tweets and trends on Twitter. The presentation encourages attendees to explore the Twitter API and contact Twitter engineers with any other questions.
Linked Data in Use: Schema.org, JSON-LD and hypermedia APIs - Front in Bahia...Ícaro Medeiros
In my talk I walk throgh Semantic Web initiatives, like RDF and SPARQL, linked data principles, discuss some implementation and adoption issues and talk about semantic annotation in HTML. Semantic annotation using the Schema.org vocabulary is demonstrated using both HTML 5 Microdata or JSON-LD input. There is a strong highlight in benefits seen in Google search results with Rich Snippets, Actions in Email, and Google Now with real examples.
JSON Schema is an extremely powerful, yet easily approachable, tool for describing data structures. In fact, the OpenAPI has embraced JSON Schema and currently uses it for describing the inputs/outputs of your APIs. JSON Schema is a technology that is often misunderstood and often used in ways that leave people scratching their heads when it does not work the way they expected. This talk will introduce JSON Schema from the ground up, complete with gotchas and best practices. In the end, the hope is that the attendee will see the value of JSON Schema and understand it well enough to use in their OpenAPI documents and even their own applications.
This document summarizes SPARQL, the SPARQL query language used for querying and retrieving data stored in RDF format. It discusses key concepts such as RDF, terms, syntax, patterns, and constraints. RDF represents information as subject-predicate-object triples that can be queried using SPARQL. SPARQL allows constructing basic and complex graph patterns to match against the RDF graph. It also supports value filters, ordering, pagination and other solution modifiers. The document provides examples of SPARQL queries to retrieve data from RDF graphs based on different conditions and constraints.
This document discusses various techniques for handling form data submitted to servlets, including reading parameters, handling missing or malformed data, and filtering special characters.
It provides code examples of:
1) Reading individual and all parameters submitted via GET and POST.
2) Checking for missing parameters and using default values. It shows code for a resume posting site that uses default fonts/sizes if values are missing.
3) Filtering special HTML characters like < and > from parameter values before displaying them. It demonstrates a code sample servlet that properly filters values.
The document discusses strategies for handling missing or malformed data like using default values, redisplaying the form, and covering more advanced options using frameworks
New approaches to hypertext and REST in a mobile-first worldIsrael Shirk
The document discusses new approaches to hypertext and REST APIs in a mobile-first world. It proposes using JSON Hyperschema to define self-describing APIs and objects that can be interpreted across different devices through custom components. This allows the backend to remain the same while the frontend is laid out differently for each client type, enabling data-centric design on the server and render-focused clients.
AMS, API, RAILS and a developer, a Love StoryJoão Moura
A lot of people have being using Rails to develop both their internal or external API, but building a high quality API can be hard, and performance is a key point to achieve it.
I'll share my stories with APIs, and tell you how Active Model Serializer, component of Rails-API, helped me. AMS have being used across thousands of applications bringing convention over configuration to JSON generation.
This talk will give you a sneak peek of a new version of AMS that we have being working on, it's new cache conventions, and how it's being considered to be shipped by default in new Rails 5.
This document discusses using security data for incident response and customizing the ELSA (Enterprise Log Search and Archive) tool. It describes how ELSA allows searching across different data sources to provide context, such as building a timeline of events from various logs. It also explains how to extend ELSA through writing parsers, plugins, and transforms to integrate additional data sources and customize its functionality. The goal is to quickly understand security incidents by correlating all available information.
JLIFF: Where we are, and where we're goingChase Tingley
Presented at FEISGILTT 2017. An introduction to JLIFF, a JSON-based version of the XLIFF 2.x standard currently under development by the OASIS XLIFF-OMOS technical committee.
This document summarizes a presentation on Spring Data by Eric Bottard and Florent Biville. Spring Data aims to provide a consistent programming model for new data stores while retaining store-specific features. It uses conventions over configuration for mapping objects to data stores. Repositories provide basic CRUD functionality without implementations. Magic finders allow querying by properties. Pagination and sorting are also supported.
This document provides an introduction to linked data and RDF. It discusses:
1. The principles of linked data, which involve using URIs to identify things and including links to other related resources.
2. The goals of linked data, which are to transfer information between machines without loss of meaning by identifying data on the web using shared vocabularies and RDF.
3. An overview of RDF, which structures data as subject-predicate-object triples and can be serialized in formats like RDF/XML and Turtle to represent typed links between resources.
The web has changed! Users spend more time on mobile than on desktops and they expect to have an amazing user experience on both platforms. APIs are the heart of the new web as the central point of access data, encapsulating logic and providing the same data and same features for desktops and mobiles.
In this talk, I will show you how in only 45 minutes we can create full REST API, with documentation and admin application build with React.
The document describes an event called "API Days NZ" that will take place from October 6-7, 2016 at the Viaduct Events Centre in Auckland, New Zealand. It provides details on the start and end dates, location, and offers ticket sales for early bird pricing between June 1 and August 31, 2016.
The document contains JSON-LD markup describing a music event taking place on November 6, 2014 at The Worksmans Club in Dublin, Ireland, including details about the location and offers. It also includes snippets describing collections of attendees and classes of objects with supported properties.
Why and How to Optimize Your Data Architecture for an Integrated FutureMarkus Lanthaler
The document contains nutrition information for a recipe including calories (667 kcal), protein (9g), and carbohydrates (49g). This information is formatted using schema.org vocabulary and syntax. The document also includes examples of using schema.org for other tasks like representing a collection of recipes and querying recipe data.
The document describes a concert event for the band CAKE performing live at the APIcon 2014 conference on May 28, 2014 from 8pm to 11pm at the Hilton San Francisco Union Square hotel.
Stop Reinventing the Wheel! Use Linked Data to Build Better APIsMarkus Lanthaler
The document contains nutrition information for a food item including 667 calories, 9g of protein and 49g of carbohydrates. It also shows examples of representing nutrition information using HTML, JSON-LD and schema.org syntax.
The Web 3.0 is just around the corner. Be prepared!Markus Lanthaler
This document contains nutrition information for a food item containing 667 calories, 9g of protein and 49g of carbohydrates. It also includes JSON snippets defining schema.org contexts, types, classes and collections for representing recipes and collections of recipes.
Presentation of the paper "Creating 3rd Generation Web APIs with Hydra" at the 22nd Internation World Wide Web Conference (WWW2013) in Rio de Janeiro, Brazil
Presentation of the paper "A Web of Things to Reduce Energy Wastage" at the 10th IEEE International Conference on Industrial Informatics (INDIN 2012) in Beijing, China
Presentation of SAPS at the 1st International Workshop on the Information-Centric Web (IC-Web 2011) at the 11th IEEE/IPSJ International Symposium on Applications and the Internet (SAINT 2011) in Munich, Germany
AC Atlassian Coimbatore Session Slides( 22/06/2024)apoorva2579
This is the combined Sessions of ACE Atlassian Coimbatore event happened on 22nd June 2024
The session order is as follows:
1.AI and future of help desk by Rajesh Shanmugam
2. Harnessing the power of GenAI for your business by Siddharth
3. Fallacies of GenAI by Raju Kandaswamy
How to Avoid Learning the Linux-Kernel Memory ModelScyllaDB
The Linux-kernel memory model (LKMM) is a powerful tool for developing highly concurrent Linux-kernel code, but it also has a steep learning curve. Wouldn't it be great to get most of LKMM's benefits without the learning curve?
This talk will describe how to do exactly that by using the standard Linux-kernel APIs (locking, reference counting, RCU) along with a simple rules of thumb, thus gaining most of LKMM's power with less learning. And the full LKMM is always there when you need it!
Quality Patents: Patents That Stand the Test of TimeAurora Consulting
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
AI_dev Europe 2024 - From OpenAI to Opensource AIRaphaël Semeteys
Navigating Between Commercial Ownership and Collaborative Openness
This presentation explores the evolution of generative AI, highlighting the trajectories of various models such as GPT-4, and examining the dynamics between commercial interests and the ethics of open collaboration. We offer an in-depth analysis of the levels of openness of different language models, assessing various components and aspects, and exploring how the (de)centralization of computing power and technology could shape the future of AI research and development. Additionally, we explore concrete examples like LLaMA and its descendants, as well as other open and collaborative projects, which illustrate the diversity and creativity in the field, while navigating the complex waters of intellectual property and licensing.
MYIR Product Brochure - A Global Provider of Embedded SOMs & SolutionsLinda Zhang
This brochure gives introduction of MYIR Electronics company and MYIR's products and services.
MYIR Electronics Limited (MYIR for short), established in 2011, is a global provider of embedded System-On-Modules (SOMs) and
comprehensive solutions based on various architectures such as ARM, FPGA, RISC-V, and AI. We cater to customers' needs for large-scale production, offering customized design, industry-specific application solutions, and one-stop OEM services.
MYIR, recognized as a national high-tech enterprise, is also listed among the "Specialized
and Special new" Enterprises in Shenzhen, China. Our core belief is that "Our success stems from our customers' success" and embraces the philosophy
of "Make Your Idea Real, then My Idea Realizing!"
Coordinate Systems in FME 101 - Webinar SlidesSafe Software
If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights.
During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to:
- Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value
- Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems
- Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors
- Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported
- Look Ahead: Gain insights into where FME is headed with coordinate systems in the future
Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!
Video traffic on the Internet is constantly growing; networked multimedia applications consume a predominant share of the available Internet bandwidth. A major technical breakthrough and enabler in multimedia systems research and of industrial networked multimedia services certainly was the HTTP Adaptive Streaming (HAS) technique. This resulted in the standardization of MPEG Dynamic Adaptive Streaming over HTTP (MPEG-DASH) which, together with HTTP Live Streaming (HLS), is widely used for multimedia delivery in today’s networks. Existing challenges in multimedia systems research deal with the trade-off between (i) the ever-increasing content complexity, (ii) various requirements with respect to time (most importantly, latency), and (iii) quality of experience (QoE). Optimizing towards one aspect usually negatively impacts at least one of the other two aspects if not both. This situation sets the stage for our research work in the ATHENA Christian Doppler (CD) Laboratory (Adaptive Streaming over HTTP and Emerging Networked Multimedia Services; https://athena.itec.aau.at/), jointly funded by public sources and industry. In this talk, we will present selected novel approaches and research results of the first year of the ATHENA CD Lab’s operation. We will highlight HAS-related research on (i) multimedia content provisioning (machine learning for video encoding); (ii) multimedia content delivery (support of edge processing and virtualized network functions for video networking); (iii) multimedia content consumption and end-to-end aspects (player-triggered segment retransmissions to improve video playout quality); and (iv) novel QoE investigations (adaptive point cloud streaming). We will also put the work into the context of international multimedia systems research.
Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment.
How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.
In this follow-up session on knowledge and prompt engineering, we will explore structured prompting, chain of thought prompting, iterative prompting, prompt optimization, emotional language prompts, and the inclusion of user signals and industry-specific data to enhance LLM performance.
Join EIS Founder & CEO Seth Earley and special guest Nick Usborne, Copywriter, Trainer, and Speaker, as they delve into these methodologies to improve AI-driven knowledge processes for employees and customers alike.
INDIAN AIR FORCE FIGHTER PLANES LIST.pdfjackson110191
These fighter aircraft have uses outside of traditional combat situations. They are essential in defending India's territorial integrity, averting dangers, and delivering aid to those in need during natural calamities. Additionally, the IAF improves its interoperability and fortifies international military alliances by working together and conducting joint exercises with other air forces.
Hire a private investigator to get cell phone recordsHackersList
Learn what private investigators can legally do to obtain cell phone records and track phones, plus ethical considerations and alternatives for addressing privacy concerns.