Resources

 

Pentaho 7.1 Demo

Type: Video

Product: Data Integration, Big Data Analytics

Pentaho 7.1 delivers a unique approach to support Spark, adds more cloud options with Microsoft Azure, visualizations for data prep and Hortonworks Hadoop security.

Machine Learning Orchestration with Pentaho

Type: Webinar

Product: Data Integration

Watch this webinar, led by Mark Hall, one of the original developers of Weka, to see how Pentaho streamlines the entire machine learning workflow and enables data teams to train, tune, test and deploy predictive models.

Predictive Maintenance, Big Data, and IOT

Type: Webinar

Product: Big Data Analytics

The Industrial Internet of Things (IIoT) market is growing fast and is expected to reach $500 billion by 2020. At the heart of IIoT is predictive maintenance, which focuses on reducing maintenance costs and eliminating potential and unexpected machine failures, while automating operations to ...

2016 Dresner Big Data Analytics Market Study

Type: Analyst Research

Product: Big Data Analytics

Based on survey methodology, this second Big Data Analytics Market Study from Dresner Advisory focuses upon the combination of analytical solutions within the Hadoop ecosystem, adding some new criteria and exploring changing market dynamics and user perceptions and plans.

TDWI Emerging Best Practices for Data Lakes

Type: Analyst Research

Product: Data Integration

This TDWI Checklist will discuss many of the emerging best practices for data lakes, including technical data management issues and practical business use cases.

451 Research Analyst Review of Pentaho 7.0

Type: Analyst Research

Product: Business Analytics, Data Integration

This report by 451 Research Analyst and Research Director, Matt Aslett, includes an independent point of view of Pentaho 7.0, a competitive landscape and company SWOT analysis.

Next Steps for Filling Your Data Lake

Type: Webinar

Product: Data Integration

When it comes to big data, getting data into your data lake in a simple, automated, way can seem impossible. With disparate data sources of data often numbering in the hundreds or thousands, hand coding to connect to each source is time-consuming and difficult to manage and maintain.

Infographic: How to Overcome Common Hadoop Challenges

Type: Interactive Content

Product: Data Integration, Big Data Analytics

Looking for a solutions-oriented approach that ensures success? Our step-by-step interactive infographic shows you how to overcome common challenges at every stage of the Hadoop analytic data pipeline.

Gartner Research Market Guide to Self-Service Data Preparation

Type: Analyst Research

Product: Data Integration

Looking for an easier way to do data preparation? Preparing a wide range of data for analytics is a struggle that affects both business analysts and the IT teams that support them. To ease this pain, many organizations are increasingly focused on incorporating self-service data preparation ...

TDWI Best Practices Report: Improving Data Preparation for Business Analytics

Type: Analyst Research

Product: Business Analytics, Data Integration

If you’re trying to automate and scale your manual data preparation processes, this TDWI Best Practices Report is a must-read. It is designed to help you put in place the right strategy, processes, and technologies to solve data preparation woes. It will also examine the burgeoning field of ...

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