Report: Oracle to End Use of GSA’s IT Schedule 70 Contract Vehicle, Third-Party Software Resellers

| September 26, 2016

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Oracle will no longer use the General Services Administration’s Information Technology Schedule 70 acquisition vehicle and third-party resellers to directly sell its software platforms to government agencies, Federal News Radio reported Monday. Oracle’s decision seeks to reduce litigation risks associated with the False Claims Act as well as address concerns over compliance with the Transactional Data Reporting rule and other requirements, Jason Miller writes. According to USASpending.gov, Oracle generated $38.2 billion in 2015 revenue with federal government agencies accounting for $60.8 million in direct sales last year, Miller reports. “The federal market is a very small chunk of their business and while it seems big for us, when you look at someone like Oracle’s overall business, they have to expend an exorbitant amount of resources for little payoff,” Jennifer Aubel, a principal with Aronson Consulting, told Federal News Radio.

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Iteris, Inc

Iteris, Inc. (NASDAQ: ITI) is the global leader in applied informatics for transportation and agriculture, turning big data into big breakthrough solutions. We collect, aggregate and analyze data on traffic, roads, weather, water, soil and crops to generate precise informatics that lead to safer transportation and smarter farming. Municipalities, government agencies, crop science companies, farmers and agronomists around the world use our solutions to make roads safer and travel more efficient, as well as farmlands more sustainable, healthier and productive. Visit www.iteris.com for more information.

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Top 5 Data Visualization JavaScript Libraries in 2021

Article | January 20, 2021

When you work with data, the most prominent challenge is picking the right manner to represent data in a readable format. With proper visualization, it becomes easier to convey the message present in the analyzed data. The best choice, in this case, is to use Data Visualization. By definition, data visualization is the graphical representation of the data and information. Using elements like maps, charts, graphs, etc. gives an easier view to understanding the patterns, trends, outliers, and performance. But, choosing the right tool for visualization can become difficult with the number of choices made available in the market. To save you from the trial and error method for finding the tool that works amazingly, here is the list of the best JavaScript libraries that are about to simplify the way you used to interact with data. Apart from these libraries, there are some tools for javascript which you can learn about and get more advanced with data visualization. Best JavaScript Libraries For Data Visualization For assisting you in getting started with data visualization in any application, here is the list of the top 5 libraries of JavaScript that you can get started with. D3js D3 (Data-Driven Documents) is among the most popular javascript libraries. It is not only limited to the visualization of data but also helps in data analytics, data utilities, animations, and geo. It works regardless of the JavaScript frameworks being used. D3 uses SVG, CSS, and HTML to create visualization as per web standards. Some of the benefits of using D3js include large dataset support, flexibility, and transition functionality. C3js Combination Chart or C3 is based on D3 and provides reusable chart libraries for applications. C3 offers a class to each element to help in defining a custom style that can later extend structure from D3. One of the major benefits of using C3js is that you can even update the rendered chart. ReCharts Similar to C3, ReCharts also uses D3 while expressing declarative components. Being lightweight and rendering on SVG elements, it helps in creating stunning charts. The library consists of some beautiful chart examples. Moreover, the charts here can also be customized according to needs. It is great for static charts but can lag with multiple animations. With an intuitive API, it becomes highly powerful and responsive. CanvasJS Canvas is an HTML5 and JavaScript chart library that’s easy to use. It smoothly runs on different platforms with 100,000+ data points. It comes with four default themes that can be greatly suitable for different conditions. Canvas charts provide high performance, fast developer support, and do not depend on other libraries. Highcharts Based on SVG JS library charts, Highcharts is quite popular among large organizations. Highcharts comes with the entire ecosystem for various project templates. It is even compatible with old browsers. Even the non-developers can use it with ease because of its interactive chart editor. It is being used by popular brands like Microsoft. Conclusion With the help of these javascript libraries, you will find it easy to present a large amount of data visually. What’s more, these will work with any framework. If you are a non-developer and still want data visualization in your application, then you can easily hire developers with relevant experience out there.

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Three smart ways to use low-code development platforms

Article | February 21, 2020

Mayur Shah, senior director of product management at software company WaveMaker, said that low-code platforms encourage collaboration between business units and developers, which can have a long-term impact on a business. "This ability to bring stakeholders and software developers together to work on new applications iteratively is a particular strength of low-code platforms," he said. This visual approach to building software is moving beyond marketing and accounting departments and back to software developers. While some low-code platforms are designed for non-tech business units, WaveMaker is designed to help IT teams be more productive by simplifying the app development process.

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AI, ML explosion will be the game changer

Article | March 3, 2020

Technologies like Artificial Intelligence and Machine Learning will enable wider audience to get access to space analytics and insights. Assisted processes through software created by Machine Learning will enable users to run sophisticated models on their data. That is what I see happening in the next few years. It’s not about replacing, it’s about assisting new types of users to get access to the type of analysis that wasn’t accessible before. Automated Machine Learning is what we are going to be seeing in the coming years. It will expand the customer/ user base of spatial analytics by making it more accessible.

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Programming languages: Python and Java VS Code extensions get these new updates

Article | March 20, 2020

Microsoft has launched the March replace for its fashionable Python extension for Visible Studio Code (VS Code), its extensively used cross-platform code editor. It is also launched an replace for Java on VS Code with assist for the IDE extension, SolarLint. Probably the most notable change within the Python for VS Code replace is a brand new Microsoft-built Python debugger called debugpy, an implementation of the Debug Adapter Protocol for Python. The software permits builders to debug script recordsdata and modules from the command line, in addition to allow debugger logging. Till now, VS Code had built-in debugging assist for JavaScript, TypeScript, Node.js, and so forth, whereas extensions from the VS Code market enabled assist for different languages like Python, Go, C# and C++.

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Spotlight

Iteris, Inc

Iteris, Inc. (NASDAQ: ITI) is the global leader in applied informatics for transportation and agriculture, turning big data into big breakthrough solutions. We collect, aggregate and analyze data on traffic, roads, weather, water, soil and crops to generate precise informatics that lead to safer transportation and smarter farming. Municipalities, government agencies, crop science companies, farmers and agronomists around the world use our solutions to make roads safer and travel more efficient, as well as farmlands more sustainable, healthier and productive. Visit www.iteris.com for more information.

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