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Syncfusion Announces Essential Studio 2018 Volume 4

RESEARCH TRIANGLE PARK, N.C.--(Business Wire)--Syncfusion, Inc., announced today the release of Essential Studio 2018 Volume 4. Highlights are six new controls each for the JavaScript and Xamarin toolkits, including TreeGrid, PDF Viewer, Chip, Splitter, and QueryBuilder for the former.

 

“We continue to work closely with our developer community to determine what controls are most popular across our platforms,” said Daniel Jebaraj, Syncfusion vice president. “This open communication has resulted in significant upgrades to our JavaScript and Xamarin platforms and further delivers on our mission to help our customers deliver awesome enterprise software quickly.”

Essential JS 2 has also moved several of its preview controls into production. With 2018 Volume 4, Syncfusion has also:

  • Added extra features for JS 2’s existing controls: dragging, dropping, and spanning rows for Grid; Hijri calendar support; and blocking time intervals for Scheduler.
  • Improved the Xamarin UI toolkit with:
    • Six new controls: Button, Backdrop, Border, Badge View, Chips, ParallaxView.
    • Updates to its existing controls with form-filling support for PDF, RTL language support for seven more controls, and unbound rows support for DataGrid, among others.
  • Extended support for high DPI to more WinForms controls and added the ability to navigate data from an underlying data source with a new DataPager control.
  • Updated WPF with system theme support, stacked doughnut charts, and redaction and stamp annotations for its PDF Viewer.

A complete list of what’s new can be found at the Syncfusion site. Current Syncfusion license holders can download the 2018 Volume 4 release now by logging into their account. Those interested in trying out Essential Studio can download a free 30-day trial.



Read more: http://www.digitaljournal.com/pr/4119862#ixzz5dMWtl4C9
 

Apache Hadoop 3.2 Released

January 24, 2019

Apache Hadoop v3.2.0 is the latest version of the Open Source software framework for reliable, scalable, distributed computing.

Now in its 11th year, Apache Hadoop is the foundation of the US$166B Big Data ecosystem (source: IDC) by enabling data applications to run and be managed on large hardware clusters in a distributed computing environment. "Apache Hadoop has been at the center of this big data transformation, providing an ecosystem with tools for businesses to store and process data on a scale that was unheard of several years ago," according to Accenture Technology Labs.

"This latest release unlocks the powerful feature set the Apache Hadoop community has been working on for more than nine months," said Vinod Kumar Vavilapalli, Vice President of Apache Hadoop. "It further diversifies the platform by building on the cloud connector enhancements from Apache Hadoop 3.0.0 and opening it up for deep learning use-cases and long-running apps."

Apache Hadoop 3.2.0 highlights include:

- ABFS Filesystem connector —supports the latest Azure Datalake Gen2 Storage;

- Enhanced S3A connector —including better resilience to throttled AWS S3 and DynamoDB IO;

- Node Attributes Support in YARN —helps to tag multiple labels on the nodes based on its attributes and supports placing the containers based on expression of these labels;

- Storage Policy Satisfier —supports HDFS (Hadoop Distributed File System) applications to move the blocks between storage types as they set the storage policies on files/directories;

- Hadoop Submarine —enables data engineers to easily develop, train and deploy deep learning models (in TensorFlow) on very same Hadoop YARN cluster;

- C++ HDFS client —helps to do async IO to HDFS which helps downstream projects such as Apache ORC;

- Upgrades for long running services —supports in-place seamless upgrades of long running containers via YARN Native Service API (application program interface) and CLI (command-line interface).

"This is one of the biggest releases in Apache Hadoop 3.x line which brings many new features and over 1,000 changes," said Sunil Govindan, Apache Hadoop 3.2.0 release manager. "We are pleased to announce that Apache Hadoop 3.2.0 is available to take your data management requirements to the next level. Thanks to all our contributors who helped to make this release happen."

Apache Hadoop is widely deployed at numerous enterprises and institutions worldwide, such as Adobe, Alibaba, Amazon Web Services, AOL, Apple, Capital One, Cloudera, Cornell University, eBay, ESA Calvalus satellite mission, Facebook, foursquare, Google, Hortonworks, HP, Huawei, Hulu, IBM, Intel, LinkedIn, Microsoft, Netflix, The New York Times, Rackspace, Rakuten, SAP, Tencent, Teradata, Tesla Motors, Twitter, Uber, and Yahoo. The project maintains a list of educational and production users, as well as companies that offer Hadoop-related services at https://wiki.apache.org/hadoop/PoweredBy

Global Knowledge hails, "...the open-source Apache Hadoop platform changes the economics and dynamics of large-scale data analytics due to its scalability, cost effectiveness, flexibility, and built-in fault tolerance. It makes possible the massive parallel computing that today's data analysis requires."

Hadoop is proven at scale: Netflix captures 500+B daily events using Apache Hadoop. Twitter uses Apache Hadoop to handle 5B+ sessions a day in real time. Twitter’s 10,000+ node cluster processes and analyzes more than a zettabyte of raw data through 200B+ tweets per year. Facebook’s cluster of 4,000+ machines that store 300+ petabytes is augmented by 4 new petabytes of data generated each day. Microsoft uses Apache Hadoop YARN to run the internal Cosmos data lake, which operates over hundreds of thousands of nodes and manages billions of containers per day.

Transparency Market Research recently reported that the global Hadoop market is anticipated to rise at a staggering 29% CAGR with a market valuation of US$37.7B by the end of 2023.

Apache Hadoop remains one of the most active projects at the ASF: it ranks #1 for Apache project repositories by code commits, and is the #5 repository by size (3,881,797 lines of code).

"The Apache Hadoop community continues to go from strength to strength in further driving innovation in Big Data," added Vavilapalli. "We hope that developers, operators and users leverage our latest release in fulfilling their data management needs."

Catch Apache Hadoop in action at the Strata conference, 25-28 March 2019 in San Francisco, and dozens of Hadoop MeetUps held around the world, including on 30 January 2019 at LinkedIn in Sunnyvale, California.

Availability and Oversight

Apache Hadoop software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases.

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