Welcome!

Eclipse Authors: Pat Romanski, Elizabeth White, Liz McMillan, David H Deans, JP Morgenthal

Related Topics: Open Source Cloud, Linux Containers, Eclipse, @CloudExpo

Open Source Cloud: Article

Pentaho Harnesses Apache Hadoop to Deliver Big Data Analytics

Pentaho First Major BI Vendor to Announce Support for Apache Hadoop

Pentaho Corporation, the open source business intelligence (BI) leader, on Wednesday announced plans to deliver the industry's first complete end-to-end data integration and business intelligence platform to support Apache Hadoop. The Pentaho BI Suite features a single visual development environment that dramatically simplifies the creation of applications for analyzing the massive volumes of information currently being collected by enterprises. This will widen the appeal of Apache Hadoop by enabling developers and business analysts to more quickly and easily access and analyze data.

Hadoop is rapidly becoming a technology of choice for enterprises that need to effectively collect, store and process large amounts of structured and complex data, including many of the world's leading consumer websites and financial services organizations. Hadoop, in its raw form, lacks easy-to-use interfaces for timely and cost-effective analysis. The Pentaho Enterprise BI Suite delivers a unified visual design environment for ETL, report design, analytics and dashboards, providing an enterprise friendly environment for using Apache Hadoop. Pentaho is enabling more organizations to reap the benefits of Hadoop by making it easier and faster to create BI applications.

The first deliverable in this initiative is the enhancement of Pentaho Data Integration (PDI) to be the visual design environment for ETL processes that include the manipulation of Apache Hadoop files and the execution of Hadoop tasks. This enables the design and execution of ETL processes that involve both Hadoop and non-Hadoop tasks. This deliverable also includes an embedded ETL engine for Hadoop. Soon, Hadoop users will be able to transform, manipulate, and aggregate files and data using the full functionality of a robust graphical designer and powerful ETL engine. The next set of deliverables, to follow soon after, will enable reporting, dashboards and analysis directly against data stored in Hadoop.

NEWS SUMMARY

  • The Pentaho BI Suite offers comprehensive data integration, reporting and analytical capabilities that enable Hadoop developers and business analysts to quickly and easily create BI applications without coding.
  • Pentaho Data Integration (also known as Kettle) is a natural technology fit and data integration solution for Hadoop given its rich design tools, scalable architecture, open source distribution and adoption at a large number of Hadoop sites.
  • Pentaho is the first full-function BI vendor to announce support for the Hadoop platform, further cementing the open source provider's status as an innovation leader in the BI industry.
  • Pentaho's support of Hadoop marks another key milestone in the company's Agile BI initiative, aimed at simplifying the use of BI for a much wider set of users across the enterprise, resulting in faster time to value and increased ROI.
  • The Pentaho BI Suite offers unmatched deployment flexibility as the same full-feature platform can be deployed on-premise or in the cloud or embedded in custom applications.
  • Apache Hadoop, a top-level Apache project, is built by a vibrant community of developers around the world. It is a Java software framework that supports data-intensive, distributed applications, allowing them to work with thousands of nodes and petabytes of data.

QUOTES AND MULTIMEDIA

"Five years ago, few people anticipated the common need to perform analytics on tens of terabytes of data, but we've blown past that threshold," said Richard Daley, founder and CEO of Pentaho. "Organizations of all sizes are facing a massive influx of both structured and unstructured data. Pentaho is helping them to cost-effectively maximize the benefit they obtain from the information they collect."

"The demanding pressure to apply Analytics to deliver insight for business continues to grow as the volumes of data exponentially grow," said Mark Smith, CEO & EVP Research at Ventana Research. "Pentaho is stepping up to lead the integration of data for Hadoop and provide the BI platform and tools to generate the Analytics and deliver a broad range of capabilities for business and IT."

"We use Hadoop simply because we hit the wall with traditional RDBMS based on our impression volume," said Naghi Prasad, Vice President of Engineering at Offerpal. "The combination of Hadoop and Pentaho will give us the opportunity to easily and cost effectively take our 'big data' analysis to an entirely new level and gain insights never before possible."

"Attributor's Guardian™ monitoring service scans more than 40 billion pages daily; consequently, our data needs are significant," said Adrian McDermott, CTO of Attributor. "We are committed to both Hadoop and Pentaho, and this integration is a huge win for us."

Visit www.pentaho.com/hadoop to:

  • Watch a demonstration of Pentaho Enterprise integration with Hadoop.
  • Read the blog "Big Data Shouldn't Mean Big Costs" by Pentaho Founder and CEO Richard Daley.
  • Reserve your place in the beta program.

More Stories By Yeshim Deniz

News Desk compiles and publishes breaking news stories, press releases and latest news articles as they happen.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...