Governing big data presents new challenges for organizations
Effective governance can help companies get the most out of their "big data" environments. But at this point, there's no formula for how to do that. Read Now
Big data management strategies and best practices are still evolving, but joining the big data movement has become an imperative for companies across a wide variety of industries. This guide delves into the experiences of early-adopter companies that have already deployed big data applications and technologies. IT professionals, C-level executives and industry analysts offer insights into what strategies work on big data projects and how to best integrate big data management initiatives with related processes such as data warehousing, data governance and data analytics.
The following stories explore the steps these companies took to set up big data systems and to update their approaches as needed. Readers will find practical information on implementing big data strategies, mixing Hadoop clusters and conventional data warehousing tools, incorporating big data analytics into the process and translating big data ideas into successful deployments.
1Sprint's big data project highlighted at IBM conference
At IBM's most recent Information on Demand conference, an executive from Sprint presented information on the telecommunications company's efforts to harness big data to gain new insights on how customers are using its network. An IBM vice president also offered guidance for other companies interested in tackling big data initiatives. Below, find related articles that explore IBM's own use of big data tools and provide advice on developing and implementing big data strategies.
2Managing online data: comScore explains big data analytics move
In an effort to improve upon its big data analytics program, Web analytics and customer intelligence services provider comScore Inc. moved from one Hadoop distribution to a competing platform. The lead article below explores the reasons why and offers advice on big data analytics and management best practices. The other related stories offer additional insight and information on Hadoop and other big data technologies.
Managing online data: comScore explains big data analytics move
IT officials at Web intelligence firm comScore Inc. explain why they switched to a new Hadoop distribution for managing its vast pool of online data. Read Now
Eckerson: Big data systems, Hadoop can pay quick dividends
In a video interview, TechTarget's Wayne Eckerson discusses the benefits and challenges of deploying Hadoop-based systems in 'big data' environments. Watch Now
3Big data applications create new opportunities -- and challenges
Catalina Marketing Corp., which tracks and analyzes the shopping activities of consumers, was managing huge data sets long before big data became a C-suite phrase. In the first article in this section, Catalina's now-retired CIO offers advice to organizations that are launching big data management and analytics strategies, highlighting the importance of using distributed systems to lighten the load on data warehouses. Other users and analysts weigh in as well. The related stories below further explore ideas for effectively combining data warehousing and big data management technologies.
Big data applications create new opportunities -- and challenges
IT pros and analysts offer guidance on how to cope with the complexities of "big data" installations in data warehouses and alternative data stores. Read Now
New approaches needed on data warehouse strategy with big data in mix
The flood of "big data," particularly unstructured information, is pushing organizations to look beyond traditional data warehousing. That creates new opportunities but also new challenges. Read Now
Video: WhereScape Software CEO on managing big data, data warehouses
Michael Whitehead, CEO and founder of WhereScape Software, discusses "big data" management challenges, gives tips on overcoming those obstacles and explains WhereScape's data warehousing strategy. Watch Now