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September 22, 2017 | Vinod Kumar Vavilapalli | From the Dev Team

YInception: A YARN based container cloud and how we certify Hadoop on Hadoop

September 21, 2017 | Carter Shanklin | Hadoop Ecosystem, From the Dev Team

3x Faster Interactive Query with Apache Hive LLAP

September 20, 2017 | Vinay Shukla | From the Dev Team

Data Science for the Modern Data Architecture

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It’s no secret that there is a data explosion. A recent IDC analyst report from April 2014 indicated the volume of data, known as the digital universe, is doubling in size every two years. And by 2020, there will be as many digital bits as there are stars in the universe. There are many reasons […]

Guest author: Jeff Kelly, Data Strategist, Pivotal The phrase “digital transformation” gets bandied about a lot these days, but what exactly does it mean? When you strip away the hyperbole, I believe digital transformation is the process by which enterprises evolve from using traditional information technology to merely support existing business models to adopting modern […]

Provenance, Lineage & Chain of Custody The models of Provenance, Lineage and Chain of Custody are used in fine art to determine when a piece was created, the sequence of locations where it was held, how it was touched along the way, and who has owned it since creation, all with the purpose of authenticating the piece. […]

People often think about cloud architecture in simplistic terms: you’re either public, private, or hybrid. (In fact, there’s even confusion about the meaning of the term “hybrid” itself—this video helps clear it up: In the real world, of course, virtually every implementation is hybrid—no company puts 100% of its IT environment into one single cloud. […]

Apache Hive(™) is the most complete SQL on Hadoop system, supporting comprehensive SQL, a sophisticated cost-based optimizer, ACID transactions and fine-grained dynamic security. Though Hive has proven itself on multi-petabyte datasets spanning thousands of nodes many interesting use cases demand more interactive performance on smaller datasets, requiring a shift to in-memory. Hive 2 marks the […]

The Financial regulators are driving a Data Evolution Traditionally technology moves fast, regulators react slow. When technology leaps forward, it enables financial firms to change the nature of their business – often into un-regulated territory; Regulators react to pass regulation to catch up. This model can work in slow moving markets, but in todays interconnected […]

It has been another exciting week on Hortonworks Community Connection HCC. We continue to see great activity and recommend the following assets from last week. Top Articles from HCC Supporting Custom Properties for Expression Language in Apache NiFi by:ydavis NiFi has previously supported the ability to refer to flow file attributes, system properties and environment […]

As enterprises around the world bring more of their sensitive data into Hadoop data lakes, balancing the need for democratization of access to data without sacrificing strong security principles becomes paramount. According to a recent research report by Securosis, “Hadoop has (mostly) reached security parity with the relational platforms of old, and that’s saying a […]

It has been another exciting week on Hortonworks Community Connection HCC. We continue to see great activity and recommend the following assets from last week. Top Articles from HCC Implementing a real-time Hive Streaming example by:mjohnson The Hive Streaming API enables the near real-time data ingestion into Hive. This two part posting reviews some of […]

User Interface and User Experience are some of the most important aspects of developing a product. No matter how many amazing features something has, a user must be able to access them in order to reap the full benefits of the product. For example, in the Apache Ambari Web UI, add-on apps called Views have, […]

みなさま Hortonworksでマーケティングを担当している北瀬です。Hortonworksに入社して1か月がたちましたので、ブログなど書いてみようかと思います。と言っても今回は「Hadoop Summit 2016 Tokyo」の紹介になります。 先日、6月28日〜30日、アメリカ、サンノゼで行われていた「Hadoop Summit 2016 San Jose」の様子はこちらで紹介されていますが、その熱気が日本にもやってきます!10月26日、27日に日本で初めてApache Hadoopのグローバルイベント「Hadoop Summit」が開催されます。只今、Hadoop Summit 実行委員会ではスピーカーを募集しています。ご興味ある方は、是非ご応募ください。 Hadoop Summit 2016 San Joseの様子 10周年を迎えたHadoop,データ分析の主戦場はクラウドとデータセンターの連携に ―「Hadoop Summit 2016 San Jose」レポート Hadoop Summitに見る、ビッグデータエコシステムの秩序と分断 テクノロジとプレーヤーが出揃った!北瀬公彦の「Hadoop Summit 2016」レポート Hadoop Summit 2016 Tokyo セッション募集カテゴリー ビジネス ビジネスに影響を与えた実際の事例 テクニカル Apache コミッターによる発表 アプリケーション開発、分析、データサイエンス ガバナンス、セキュリティ、運用管理 モダンデータアプリケーション、IoT、ストリーミング 応募に関して 応募方法: 下記より応募ください。発表は日本語でも問題ありませんが、応募に関しては英語お願いいたします。 Hadoop Summit 2016 Tokyo Call For Abstracts 締め切り: 8月12日(金) 何かご質問などありましたら、Melissa […]

Big data is changing the way enterprises interact with and consume data. Modern data platforms, such as Hortonworks Data Platform (HDP) and Hortonworks Data Flow (HDF), are driving a data revolution by powering new workloads and analytic applications. This week, there are thousands of attendees in San Jose at Hadoop Summit 2016 learning about the […]

Hadoop Summit San Jose is here once again and with it comes a reminder of the power of the Open Source Community and the tremendous innovation which continues to occur within the Apache Hadoop ecosystem.  At Hortonworks, we get the opportunity to engage with this vibrant, creative, and talented group of engineers all year round, […]

Water, water everywhere, Nor any drop to drink These lines from “The Rime of the Ancient Mariner,” by Samuel Taylor Coleridge also accurately describe the companies that are trying to transform themselves into a data driven company. These organizations have astronomical volumes of raw data at their disposal but how do they find that proverbial […]

“The world is one big data problem.”  Andrew McAfee, associate director of the Center for Digital Business at MIT Sloan One whole year of almost daily client meetings & discussions with industry leaders have helped me see crystallize my view of an important yet abstract idea into reality.  That is, Big Data capabilities or the lack of […]