Azure HDInsight Brings Next Generation Hadoop 3.0 and Enterprise Security to the Cloud

September 24, 2018

ORLANDO, Fla., Sept. 14, 2018 — Earlier today, Microsoft Corporation announced its continuing support and commitment to enterprises seeking to use Hadoop for open source big data analytics in the cloud. Leading off the series of major upgrades to the Azure HDInsight service is the preview release of Hadoop 3.0, the transformational update to the Hadoop stack that enterprises have been waiting for since earlier this year. In addition, enterprises with strict security and compliance requirements will be able to secure their Azure HDInsight clusters using Enterprise Security Package. And there is something in this release for everybody! Spark developers will particularly like the series of innovations from Microsoft that will now allow them to quickly identify and resolve performance bottlenecks in their code.

“We have been honored to be part of the open source analytics community,” said Ryan Waite, Director of Big Data Product Management. “We’re making open source analytics central to our product strategy, from our investments in HDInsight, to our participation in projects like YARN, to our shift to using open source analytics in our internal data lake. The rate of innovation in this space is only increasing with Hadoop 3.0. We are excited to be able to bring this to our customers so that they too can accelerate their big data journey.”

Preview of Hadoop 3.0 in Azure HDInsight 4.0

First released back in December 2017, Hadoop 3.0 represents over 5 years of work across the community since the last major update to the Hadoop stack. Enterprises can now realize their data lake vision while efficiently incorporating deep learning frameworks in to their applications all on the same Hadoop stack that they are comfortable with.

Some of the key enhancements include:

With ACID semantics enabled by default, Hive 3.0 becomes more like a traditional database, making it easier for customers to build LOB applications on top of very large data sets.

  • Apache Druid is an open source data store with indexing/caching capabilities on top of a column-oriented storage layout. With Apache Hive & Druid (now available by default), customers can do near real time exploratory analytics on incoming data.
  • With Tensorflow, available by default, and GPU support, Hadoop 3.0 squarely targets the machine learning and deep learning scenarios.
  • Azure is the first major cloud provider to offer managed Hadoop 3.0. This will enable Azure customers to start building new applications or update their existing applications to work with the new Hadoop 3.0 platform.

Enhanced enterprise grade security

Enterprise grade security and compliance is a critical requirement from all customers building big data applications that store or process sensitive financial, business, personal, and healthcare data in the cloud.

With the general availability of the Enterprise Security Package (ESP) customers can now:

  • Ensure that users authenticate to their HDInsight clusters using their corporate domain credentials.
  • Ensure that users are subject to rich fine-grained access policies (authored and managed in Apache Ranger) as per their corporate data access policies.
  • Ensure that all access to critical data are logged and available in Apache Ranger for subsequent audit or forensic analysis as needed.

In addition, enterprises using Apache Kafka will appreciate the greater defense in depth they can achieve through BYOK encryption for Apache Kafka.

Advanced Debugging Tools for HDInsight Spark developers

Developers, data scientists and analysts are already know that Azure HDInsight offers rich development and debugging capabilities in a tool of their choice; IntelliJ, Eclipse, VSCode, Jupyter and Zeppelin notebooks etc.

Microsoft has now stepped it up one more level! Debugging large distributed big data application running on hundreds of nodes is hard and time consuming. Microsoft is now bringing its decade long experience of running and debugging nearly billions of jobs to the open-source world of Apache Spark. Key enhancements include:

  • Job graph with playback and heatmap identifying read/write bottlenecks.
  • Job critical path analysis and visualization.
  • Data skew detection and analysis.
  • Job specific data management including data preview, download, and copy.

Availability of key ISV applications on Azure HDInsight

Azure HDInsight supports a vibrant application ecosystem with the most popular big data applications available on Azure Marketplace. Customers will now find three new applications that they can use with Azure HDInsight covering key areas such as data governance, SQL-friendly queries over big data and application migration to Azure:

  • Starburst: Presto connectors on Azure HDInsight scales on demand and integrates other data sources with HDInsight.
  • Waterline Data: A data cataloging and governance solution used by several Azure customers.

“We are very excited to be launching the Waterline Data Catalog on Microsoft Azure HDInsight, a valuable analytics service for the petabyte enterprises that are now moving their mountains of data into the cloud for dramatically faster and more cost-effective processing,” said Waterline Data CEO, Kailash Ambwani. “Our AI-driven, highly scalable Waterline Data Catalog extends the power of HDInsight by automating the classification and governance of data, rapidly rendering all of the organization’s data available for faster analytics and deeper insights. Together, Microsoft and Waterline Data are helping organizations push the power of their data to new heights, enabling everything from real-time IoT services to cutting-edge AI and machine learning-based applications for greater innovation and competitiveness in today’s Data Economy.”

About Azure HDInsight

Azure HDInsight is a fully managed cluster service that enables customers to process and gain insights from massive amounts of data using Hadoop, Spark, Hive, HBase, Kafka, Storm, and distributed R. The service is available in 27 public regions and Azure Government Clouds in the US and Germany.

Azure HDInsight powers some of the top customer’s mission critical applications ranging in a wide variety of sectors including, manufacturing, retail education, nonprofit, government, healthcare, media, banking, telecommunication, insurance, and many more industries ranging in use cases from ETL to Data Warehousing, from Machine Learning to IoT, and many more.


Source: Microsoft

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion XL — were added to the benchmark suite as MLPerf continues Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Leading Solution Providers

Contributors

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire