This paper provides the definitive guide on the critical areas of importance to bring data lake organization, governance, and security to the forefront of the conversation.
Data Lakes Principles and Economics
September 1, 2016 by Leave a Comment
This Checklist Report discusses what your enterprise should consider before diving into a data lake project, no matter if it’s your first or second or even third major data lake project. Presumably, adherence to these principles will become second nature to the data lake team and they will even improve upon them at some point.
Research of Data Lakes
September 1, 2016 by Leave a Comment
This study was designed to document key perceptions, challenges, and successes by focusing on data organization, integration, security, and definitional clarification to address key areas of concern and interest in ongoing data lake adoption. The intent of the survey and this corresponding report is to understand and share the current and planned adoption of technologies in the Hadoop ecosystem, intended specifically for a data lake strategy, and to learn how adopting companies are addressing critical data lake success factors, including rethinking data for the long-term, establishing governance first, and tackling security needs upfront. The survey and report also identify emergent areas of concern and new areas of clarification needed for data lake maturity.
Analytical Strength Using Aster Analytics
September 1, 2016 by Leave a Comment
The biggest challenge for most organizations is to increase their analytical strength. This analytical strength can help the organizations to uncover new business insights. To make data science affordable for every organization and to deploy data science across the entire organization and not only by the high priests of data science, other disciplines must be involved.
Data Management Platform Whitepaper
September 1, 2016 by Leave a Comment
Discover how Data Management Platforms are allowing marketers to merge data from advertising partners and their customer databases to power more individualized marketing.
Data Architecture in an Evolving Eco-system Topology
September 1, 2016 by Leave a Comment
With today’s needs for complicated data architecture systems and the business’s need to make sure that their data is on the most economical platform, moving away from EDW to platforms like Hadoop can be more than daunting to an organization. This whitepaper walks you through how Teradata customers have used the services team to help them migrate to new platforms seamlessly and why it’s important to have a strategic partner like Teradata when taking on this data movement project.
Enterprise Data Warehouse
September 1, 2016 by Leave a Comment
The EDW market continues to evolve as enterprise architecture pros recognize that improved scalability, better performance, and deeper integration with hadoop and NosQl platforms will address their top challenges.
Big Data Solution Using IBM Spectrum Scale
August 31, 2016 by Leave a Comment
Businesses are discovering the huge potential of big data analytics across all dimensions of the business, from defining corporate strategy to managing customer relationships, and from improving operations to gaining competitive edge. The open source Apache Hadoop project, a software framework that enables high-performance analytics on unstructured data sets, is the centerpiece of big data solutions. Hadoop is designed to process data-intensive computational tasks, in parallel and at a scale that previously were possible only in high-performance computing (HPC) environments.
OpenStack Storage with IBM
August 31, 2016 by Leave a Comment
This paper reviews the increasingly popular OpenStack cloud platform and the abilities that IBM storage solutions provide to enable and enhance OpenStack deployments. But before addressing those specifics, it is useful to remind ourselves of the “whys and wherefores” of cloud computing.
The Forrester Wave : Enterprise Data Warehouse, Q4 2015
August 31, 2016 by Leave a Comment
Why read this white paper? – In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features
around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. Forrester identified the 10 most significant EDW software and services providers. Download this white paper to learn the 10 most signifigent EDW software and service providers.
