Category: Big Data

Feed: Hortonworks Blog – Hortonworks Author: Missy Brenner Growing up in the Silicon Valley, the daughter of a mechanical engineer, I always wanted to work in technology. However, I never quite managed to get myself exposed to a tech field until I’d already developed a complex about my abilities in the STEM fields. I pivoted towards reading and writing – oriented professions and ended up in law school for intellectual property law – the supportive underpinnings of local technology companies’ licensing deals, patents, copyrights, trademarks, and trade secrets. Here was a way to be innovative and strategic on the behalf ... Read More

Feed: Hortonworks Blog – Hortonworks Author: Kimihiko Kitase 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: このセッションでは、金融サービス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、金融市場データを取り扱う先行企業では、取引株式やその他の金融商品の情報をリアルタイムで提供しています。このティッカープラントでは大規模なデータストリームを収集、処理する必要性があります。また、何千人もの財務アドバイザー、何百万人ものクライアントを持つある投資サービス会社では、毎日15万ものトランザクションを処理していますが、古いデータや、毎日の取引データの分析には時間がかかり、不正行為を食い止める術はありませんでした。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。 HortonworksについてHortonworksは、エンタープライズ企業向けに、ビッグデータの収集、蓄積、分析プラットフォームを開発、提供・サポートを行う会社です。あらゆるデータを活用できることをミッションとし、Apache Hadoop、Apache Spark、そして Apache NiFiなどのオープンソースのコミュニティにおいて貢献しています。Hortonworksが提唱する「Connected Data Platforms」は、Data-In-Motion（流れているデータ）および、Data-At-Rest（蓄積されたデータ）などあらゆるデータを活用したモダン・データ・アプリケーションを実現します。Hortonworksは1,600を超えるパートナーと共に、専門知識、トレーニング、サービスなどをあらゆる分野のビジネスにおいて提供します。詳細はWebサイトを御覧ください。Web: http://jp.hortonworks.com 連絡先e-mail: info.japan@hortnworks.com ... Read More

Feed: Hortonworks Blog – Hortonworks Author: Anna Yong 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 combining Hortonworks Community Connection info and the Twitter data to create an accurate single buyer identity. So what did Simon tell the audience? Correlating reputation data from and linking this back to some of the twitter data ... Read More

Feed: Hortonworks Blog – Hortonworks Author: Louise Matthews Needless to say, partners are a crucial part of the Hadoop community and that’s evidenced by the number of organisations Hortonworks is connected with as part of our PartnerWorks Programme.  Back in October 2011, we announced our partnership with Microsoft to collaborate on a Hadoop distribution for Microsoft Azure and Windows Server.  Since that announcement, our partnership has gone from strength to strength. Earlier today, I spent some time talking to Hans Wieser who is responsible for Hortonworks’ relationship with Microsoft in Europe, Middle East and Africa and Mark Mason, our director ... Read More

Feed: Hortonworks Blog – Hortonworks Author: Anna Yong Use IoT to get real-time feedback on customer preferences and respond to them During the 3rd demo of the Data Hacks & Demos session, at Hadoop Summit San Jose, it was audience participation time! Kay Lerch demonstrated how to interact with the audience, through specific twitter and SMS messages sent to a specific phone number, or tweet to @HadoopSummitDemo. The messages were routed through to the light boxes which would flash and light for each message received, a vote for each question and hashtag represented. So what did Joe and Kay tell ... Read More

Feed: Hortonworks Blog – Hortonworks Author: Sanjay Radia Ram Venkatesh also contributed to this blog series  Why Apache Hadoop in the Cloud? Ten years ago, Hadoop, the elephant started the Big Data journey inside the firewall of a data center- the Apache Hadoop components were deployed on commodity servers inside a private data center. Now, the public cloud is another viable option for Big Data deployment. In addition to long-running workloads, the cloud is enabling many ephemeral on-demand analytics workloads, which is game changing. The cloud can save time and money – you can spin up a Hadoop cluster with ... Read More

Feed: Hortonworks Blog – Hortonworks Author: Louise Matthews Financial Services is arguably one of the most complex industry sectors in terms of customers, services and regulation. While there are obviously areas of overlap, the contrast between capital markets to private banking, retail banking to corporate banking and lending, or hedge funds to credit cards and payment networks is considerable. Last week, our general manager for Financial Services, Vamsi Chemitiganti (@VamsiTalksTech) was visiting Europe to meet with a number of customers and I managed to grab a few minutes with him to get a snap shot on why Hadoop is resonating, ... Read More

Feed: Featured Posts - Hadoop360 Author: Andrei Macsin Originally posted on Data Science Central Summary:  Continuing from out last article, we searched the web to find all of the most common myths and misconceptions about Big Data.  There were a lot more than we thought.  Here’s what we found. Part 2. If you caught Part 1 of this article you know that we set out to catalogue all the common misconceptions and myths about Big Data.  In all we identified 68!  Eliminating some overlap but trying to retain the nuances of different ways to explain the same myth we were able ... Read More

Feed: Featured Posts - Hadoop360 Author: Andrei Macsin Originally posted on Data Science Central This list of hand-picked leaders was compiled by Wojtek Aleksander, from GetResponse.com. Other bigger lists (sometimes created by robots) can be found here and are usually based on your Klout score, which in my opinion is not accurate. The list below is truly original and I would even add, somewhat unexpected, as you won't find Bernard Marr, Kirk Borne and other well known gurus.  A few tweets recently posted by #BigData influencers (screenshot) 5. Enrico Bertini @FILWD Just in case you’re wondering, @FILWD stands for Fell In Love With Data, ... Read More

Feed: Hortonworks Blog – Hortonworks Author: Cindy Maike Recently, I had the opportunity to participate in the Strategy Meets Action (SMA) insurance innovation community webinar on the business opportunities with “Finding the Business Value of Advanced Analytics”. Many companies are not sure where to begin the journey, when and how to use new data sources, traditional data, and ‘data in motion.’ During this webinar Deb Smallwood, Founder of SMA, and I discuss using the Insurance Industry value drivers to identify business opportunities and to: • Define advanced analytics,• Discuss it in the context of the financial ratios and triggers, and• ... Read More