Welcome!

@DXWorldExpo Authors: Yeshim Deniz, Pat Romanski, Elizabeth White, Liz McMillan, Zakia Bouachraoui

News Feed Item

Pentaho Business Analytics Certified on Cloudera 5 for Apache Hadoop in the Enterprise

Big Data Integration and Analytics platform gives first to market advantage to data driven companies with certified support of Cloudera 5

SAN FRANCISCO, April 2, 2014 /PRNewswire/ -- Delivering the future of analytics Pentaho Corporation today announced that Pentaho Business Analytics is certified on Cloudera 5, Cloudera's unified data platform for the enterprise data hub that was released today. The combination of Pentaho with Cloudera provides organizations with an easy-to-use visual interface for Cloudera data ingestion, manipulation, integration and task orchestration. As a result, organizations are getting a more comprehensive view of data across the enterprise.

Pentaho Business Analytics is certified on Cloudera 5, Cloudera's unified data platform for the enterprise data hub that was released today. The combination of Pentaho with Cloudera provides organizations with an easy-to-use visual interface for Cloudera data ingestion, manipulation, integration and task orchestration. As a result, organizations are getting a more comprehensive view of data across the enterprise. Learn more: http://www.pentahobigdata.com/ecosystem/partner-testimonials/cloudera

Optimized for a Cloudera powered enterprise data hub, Pentaho's Big Data Integration and Analytics platform give data-driven enterprises a competitive edge. Pentaho and Cloudera collaborated early to address big data market requirements and early customer use cases. This early leadership and open platform approach enabled Pentaho to offer deep integration with Impala and YARN, optimizing performance and access to Cloudera 5. In addition, Pentaho provides Cloudera users a 15X improvement in productivity – achieved through Pentaho's visual drag and drop integration tools combined with the unique ability of Pentaho's data integration engine to run and scale directly in-cluster. 

"Pentaho has been a loyal partner for years, most recently working in concert with us to accelerate the value and vision of the enterprise data hub," said Tim Stevens, vice president, Corporate and Business Development, Cloudera. "With advanced integration points on Cloudera technologies such as Impala, Search and YARN, we are thrilled to have them in the Cloudera Connect program, certified on Cloudera 5."

"Cloudera is a long time strategic partner of Pentaho and through Cloudera's certification program we can provide support for Cloudera 5 on the day it is released to the enterprise," said Paul Vasquez, Senior Product Manager, Technology Partners at Pentaho. "Customers wanting to start a new big data project or scale an existing one should be at ease knowing that Pentaho has executed the rigorous tests that are required for certification on Cloudera's platform for big data. Pentaho is at the forefront of innovation to provide customers with the toolset and big data blueprints to maximize their big data success, today."

About Pentaho Corporation

Pentaho is delivering the future of business analytics. Pentaho's open source heritage drives our continued innovation in a modern, integrated, embeddable platform built for the future of analytics, including diverse and big data requirements. Powerful business analytics are made easy with Pentaho's cost-effective suite for data access, visualization, integration, analysis and mining. For a free evaluation, download Pentaho Business Analytics at www.pentaho.com/testdrive.

Logo - http://photos.prnewswire.com/prnh/20140402/CL96356LOGO

SOURCE Pentaho Corporation

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

DXWorldEXPO Digital Transformation Stories
Today, we have more data to manage than ever. We also have better algorithms that help us access our data faster. Cloud is the driving force behind many of the data warehouse advancements we have enjoyed in recent years. But what are the best practices for storing data in the cloud for machine learning and data science applications?
The hierarchical architecture that distributes "compute" within the network specially at the edge can enable new services by harnessing emerging technologies. But Edge-Compute comes at increased cost that needs to be managed and potentially augmented by creative architecture solutions as there will always a catching-up with the capacity demands. Processing power in smartphones has enhanced YoY and there is increasingly spare compute capacity that can be potentially pooled. Uber has successfully ...
Using new techniques of information modeling, indexing, and processing, new cloud-based systems can support cloud-based workloads previously not possible for high-throughput insurance, banking, and case-based applications. In his session at 18th Cloud Expo, John Newton, CTO, Founder and Chairman of Alfresco, described how to scale cloud-based content management repositories to store, manage, and retrieve billions of documents and related information with fast and linear scalability. He addres...
The technologies behind big data and cloud computing are converging quickly, offering businesses new capabilities for fast, easy, wide-ranging access to data. However, to capitalize on the cost-efficiencies and time-to-value opportunities of analytics in the cloud, big data and cloud technologies must be integrated and managed properly. Pythian's Director of Big Data and Data Science, Danil Zburivsky will explore: The main technology components and best practices being deployed to take advantage...
For years the world's most security-focused and distributed organizations - banks, military/defense agencies, global enterprises - have sought to adopt cloud technologies that can reduce costs, future-proof against data growth, and improve user productivity. The challenges of cloud transformation for these kinds of secure organizations have centered around data security, migration from legacy systems, and performance. In our presentation, we will discuss the notion that cloud computing, properl...
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...
To Really Work for Enterprises, MultiCloud Adoption Requires Far Better and Inclusive Cloud Monitoring and Cost Management … But How? Overwhelmingly, even as enterprises have adopted cloud computing and are expanding to multi-cloud computing, IT leaders remain concerned about how to monitor, manage and control costs across hybrid and multi-cloud deployments. It’s clear that traditional IT monitoring and management approaches, designed after all for on-premises data centers, are falling short in ...
Digital Transformation is well underway with many applications already on the cloud utilizing agile and devops methodologies. Unfortunately, application security has been an afterthought and data breaches have become a daily occurrence. Security is not one individual or one's team responsibility. Raphael Reich will introduce you to DevSecOps concepts and outline how to seamlessly interweave security principles across your software development lifecycle and application lifecycle management. With ...
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
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.