Are you tasked with transforming your data into true business value? Don’t miss our new data management guide: 8 Essential Checklists for Managing the Analytic Data Pipeline. Each
Designing a data lake that meets both business and technology goals is critical, but not easy. From the great size and diversity of data within a data lake,
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
Want to get the data you need faster? If you’re trying to automate and scale your data preparation processes, this TDWI Best Practices Report is a must-read. The
This whitepaper covers six guidelines product leaders should explore during their embedded analytics evaluation: 1) Data Access, Integration, and Management, 2) End User Analytics Functionality, 3) Embedding Analytics
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.
IoT project implementers cite integration as a top technical challenge. To help determine which IoT integration offerings best match their IT project requirements, IT leaders must understand that
Need some inspiration on Hadoop? Pentaho’s step-by-step interactive infographic shows how you can handle common Hadoop challenges at every stage of the analytic data pipeline. Check out the
Providing analytics functionality to your end users can create a number of benefits – such as higher user satisfaction, competitive advantages for your business, and accelerated overall growth.
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the
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