Get Started


Ready to Get Started?

Download sandbox

How can we help you?

closeClose button

The Hortonworks Blog

Expanding the Data In Motion Ecosystem of Hortonworks DataFlow The Hortonworks DataFlow (HDF™) ecosystem continues to accelerate, with 170+ connectors to different systems that support wide-scale dataflows. To further expand the HDF ecosystem, Hortonworks’ Partnerworks program now includes a new HDF Product Integration Certification program designed to simplify integrations of HDF into a company’s IT […]

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 Apache NiFi 1.0.0 – Zero-Master Clustering by:mpayne One of the most highly anticipated features of Apache NiFi 1.0.0 is the introduction of Zero-Master Clustering. Read more… […]

Originally posted in HCC. Ambari Views Server is the Standalone Ambari Server used for hosting Views and Ambari Server is the Operational Ambari Server which manages a Hadoop Cluster Before Ambari 2.4, when Ambari Views Servers are setup, the only way to configure views was to use ‘Custom Configuration’. In this method details had to […]

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 […]

A lot has been said about Data Lakes over the past five years. The call to action from our industry to customers was to take all your data-at-rest in databases and warehouses, and add to this to the data-in-motion from everything in your ecosystem. Then store all of the resulting terabytes and petabytes in a […]

I just left a sold-out Melbourne Hadoop Summit 2016 in Australia. This was the first Summit in Asia Pacific and I was excited by tremendous response from the global and local community, and from regional organizations and businesses.  The buzz was everywhere. We’re proud to be the host and the organizer.   We couldn’t pull […]

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 An introduction to Ambari Views 2.4 new feature- Remote cluster configuration by:abilgi This article discusses this new feature. Ambari Views Server is the Standalone Ambari Server […]

This April, Hortonworks launched a multi-phase initiative to streamline Apache Hadoop operations, and the 1.3 release of SmartSense marks the delivery of the second phase of that initiative, and that is to provide Consolidated Cluster Activity Reporting. Hortonworks launched SmartSense in 2015 to help customers quickly collect cluster configuration, metrics, and logs to proactively detect […]

We are pleased to announce the latest release of Apache Ambari 2.4 which further simplifies Hadoop Operations. With Ambari 2.4 (which is part of the recently released Hortonworks Data Platform 2.5, enterprises can plan, install and securely configure the Hortonworks Data Platform and easily provide ongoing maintenance and management. This new release includes an integrated […]

Hortonworks Empowers Organizations to Maximize the Outcome of their Big Data Initiatives through improvements in security, governance, and operations. We are very pleased to announce that Hortonworks Data Platform (HDP) Version 2.5 is now generally available for download. As part of a Open and Connected Data Platforms offering from Hortonworks, HDP 2.5 brings a variety of […]

The neighborhood bank branch is on the way out and is being slowly phased out as the primary mode of customer interaction for Banks. Banks across the globe have increased their technology investments in strategic areas such as Analytics, Data & Mobile. The Bank of the future increasingly resembles a technology company. The Washington Post proclaimed in an […]

  Baker Hughes CEO Martin Craighead says: “If a typical deep water well is like going to the moon, then the Gulf of Mexico ultra-deep water frontier is like going to Mars.”* Safely performing these kinds of complex and high risk operations requires many people to collaborate, share information and make informed decisions quickly.  When […]

ホートンワークスは、2016年9月9日(金)、日本最大の金融ITフェア「FIT 2016」(金融国際情報技術展)に出展します。 FIT 2016(金融国際情報技術展)について 名称: FIT2016 (Financial Information Technology 2016) 金融国際情報技術展 公式ページはこちら 主催: 日本金融通信社(ニッキン) 会場: 東京国際フォーラム(東京・有楽町)ホールE・ホールD5・ガラス棟:MAP 会期: 2016年9月8日(木) – 9月9日(金) 2日間開催 展示会: 10:00~18:00 入場無料: 金融機関(証券・保険・ノンバンクなども含む)及び、金融機関系列会社の方はご入場が自由です。それ以外の方は、入場券が必要となります。一般企業の方で入場券が必要な方は、ホートンワークス (info.japan@hortonworks.com) までご連絡ください。 ▼ 参加申し込み ▼ https://fit.smartseminar.jp/public/application/add/228#seminar1020 ホートンワークスジャパンのセッション 【第1部】保険業界におけるビッグデータ戦略の課題と解決策 〜最新事例から学ぶ〜 日時: 2016年9月9日 10:00 – 11:00 場所: ガラス棟5F GC会場(G-502号室) 概要: このセッションでは、保険業界で先行企業がどのようにビッグデータを活用しているか、事例を取り上げながら解説します。例えば、利用ベース自動車保険(UBI: Usage-Based Insurance)は世界的に普及が進んでおり、米国や英国などの先行市場に加えて、日本でも成長が見られます。しかしデータ量の増加と必要なデータの速度と多様性が既存のシステムとプロセスに負担をかける場合があります。また、損害査定時に、詐欺行為と有効な請求とを区別する必要がありますが、クレームメモやソーシャルメディア分析結果などの非構造化データを組み合わせる事で分析効率が向上すると言われています。先行企業でこのような問題をどのように解決しているかを紹介します。 【第2部】金融業界におけるビッグデータ戦略の課題と解決策 〜最新事例から学ぶ〜 時間: 2016年9月9日 11:15 – 12:15 場所: ガラス棟5F GC会場(G-502号室) 概要: […]

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 Top Articles from HCC Hive on Tez vs PySpark for weblogs parsing by:bmathew Synopsis Both Pig and Spark (PySpark) excel at iterative data processing against weblogs […]

Streaming analytics to create an accurate single buyer identity in real-time The 4th and final demo of the Data Hacks & Demos session, at Hadoop Summit San Jose, was done by Simon Ball and it showcased how Apache NiFi moved parallel streams of streaming data into Spark and then more analysis could be done by […]