The Hortonworks Blog

Posts categorized by : Architect & CIO

One of the key concerns in the financial industry today is the alarming increase in fraudulent activities.  It is estimated that over $12 billion is spent on fraud detection and prevention and that number is projected to increase significantly over the next few years. Customer data gets compromised and this leads to a decreased level of customer satisfaction and retention, which results in revenue declines for financial organizations.

Join Hortonworks, Skytree and Forrester Research for a Webinar on April 15, 8am PST/11am EST

As financial institutions continue to embrace the adoption of big data infrastructures like the Hortonworks Data Platform based on Hadoop, there is a wealth of information collected that can help with more sophisticated fraud detection. …

Yesterday our partner Teradata announced a new capability called Teradata QueryGrid that further deepens the integration between the Teradata Data Warehouse and the Hortonworks Data Platform. This announcement is important because it delivers on the promise and the value of the Modern Data Architecture by demonstrating how the two technologies complement each other for the enterprise.

Teradata pioneered deeper integration with Apache Hadoop through integration with H-Catalog initially with Aster SQL-H and then the Data Warehouse and now they have taken it to the next level with Teradata QueryGrid.…

Today we are proud to announce that the formation of a terrific partnership with LucidWorks to bring search to the Hortonworks Data Platform. LucidWorks delivers an enterprise-grade search development platform built atop the power of Apache Solr.

Shared Vision and New Scenarios

Both LucidWorks and Hortonworks have a shared vision of innovating in open source and delivering it to customers in an enterprise grade platform.

As part of our continuing mission to build the a completely open, versatile enterprise data platform across many data processing scenarios then Solr offers a simple, yet powerful interface providing advanced search capabilities.…

If you’re excited to get started with the new features in Hortonworks Data Platform 2.1, then we’ve included 4 tutorials for you try out – Sandbox-style.

You can download the HDP 2.1 Technical Preview here, and then get stuck into these great tutorials.

Interactive Query with Apache Hive and Apache Tez

OK, so you’re not going to get huge performance out of a one-node VM, but you can try out Hive on Tez, and see the performance gains versus MapReduce, and also try out features such as Vectorized Query, and the host of new SQL features.…

The pace of innovation within the Apache Hadoop community is truly remarkable, enabling us to announce the availability of Hortonworks Data Platform 2.1, incorporating the very latest innovations from the Hadoop community in an integrated, tested, and completely open enterprise data platform.

Download HDP 2.1 Technical Preview Now

What’s In Hortonworks Data Platform 2.1?

The advancements in HDP 2.1 span every aspect of Enterprise Hadoop: from data management, data access, integration & governance, security and operations. …

Apache Falcon is a data governance engine that defines, schedules, and monitors data management policies. Falcon allows Hadoop administrators to centrally define their data pipelines, and then Falcon uses those definitions to auto-generate workflows in Apache Oozie.

InMobi is one of the largest Hadoop users in the world, and their team began the project 2 years ago. At the time, InMobi was processing billions of ad-server events in Hadoop every day.…

We are excited to welcome Blackrock and Passport Capital as Hortonworks investors who today led a $100M round of funding with continued participation from all existing investors.

This latest round of funding will allow us to double-down on our founding strategy: to make open source Apache Hadoop a true enterprise data platform. To that end we are focused in two areas:…

1. Lead the innovation of Hadoop. In open source, for everyone.

In February 2014, the Apache Storm community released Storm version 0.9.1. Storm is a distributed, fault-tolerant, and high-performance real-time computation system that provides strong guarantees on the processing of data. Hortonworks is already supporting customers using this important project today.

Many organizations have already used Storm, including our partner Yahoo! This version of Apache Storm (version 0.9.1) is:

  • Highly scalable. Like Hadoop, Storm scales linearly
  • Fault-tolerant. Automatically reassigns tasks if a node fails
  • Reliable. 

We’ve said many times that in order for Apache Hadoop to succeed as the next generation data platform and power the Modern Data Architecture there must be a thriving ecosystem of enterprise vendors around it. It’s been core to our strategy from day one to foster these ecosystem vendors and work collaboratively to make them successful.

Download our Whitepaper: Hadoop and a Modern Data Architecture.

Our strategy of delivering enterprise Hadoop  as 100% open source has resulted in close alignment and tight partnerships with a broad Hadoop ecosystem with vendors large and small including major data management leaders like SAP and Teradata.…

If there’s one thing my interactions with our customers has taught me, it’s that Apache Hadoop didn’t disrupt the datacenter, the data did. The explosion of new types of data in recent years has put tremendous pressure on the datacenter, both technically and financially, and an architectural shift is underway where Enterprise Hadoop is playing a key role in the resulting modern data architecture.

Download our Whitepaper: Hadoop and a Modern Data Architecture.

Due to the flourish of Apache Software Foundation projects that have emerged in recent years in and around the Apache Hadoop project, a common question I get from mainstream enterprises is: What is the definition of Hadoop?

Download our Whitepaper: Hadoop and a Modern Data Architecture.

This question goes beyond the Apache Hadoop project itself, since most folks know that it’s an open source technology borne out of the experience of web scale consumer companies such as Yahoo!, Facebook and others who were confronted with the need to store and process massive quantities of data.…

This is the seventh in our series on modern data architectures across industry verticals. Others in the series are:

Any financial services business cares about minimizing risk and maximizing opportunity. Banks weigh the risk of opening accounts versus the opportunity to hold deposits.…

Luminar is one of Hortonworks’ original customers. Apache Hadoop is a pillar of their modern data architecture, and since choosing Hortonworks in 2012, the Luminar team became expert users of Hortonworks Data Platform version 1.

They were eager to migrate to HDP2 after it launched in October 2013.

I recently spoke with Juan Manuel Alonso, Luminar’s Manager of Insights. Juan Manuel worked with the Hortonworks professional services team to plan and execute the migration from HDP1 to HDP2.…

We love to hear examples from the ecosystem of how organizations are benefiting from Hadoop and today Hortonworks partner Microsoft posted a great detailed case study on how one of their partners – Ascribe – is using Microsoft’s HDInsight Service, their cloud based 100% Apache Hadoop service to transform healthcare in the UK.

Ascribe is a UK based company focused on solutions for the healthcare industry and was an early adopter of HDInsight which is built using the Hortonworks Data Platform.…

The Apache Software Foundation (ASF) provides valuable stewardship and guide-rails for projects interested in attracting the broadest community of involvement as possible, especially across a wide range of vendors and end users. While the ASF’s role is not about guaranteeing wild success for every project, they do a great job of providing a place where the broadest community of people, ideas, and code can come together and raise an elephant, so to speak.…

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