Data Digest: Big Data Missteps, Making Open Source Work, and Approaching Data Lakes
Effectively using open source, avoiding missteps in your big data project, and how to avoid struggling with data lakes.
The Six Missteps of Starting and Executing Big Data
(Source: Information Management)
Implementing big data strategies in an enterprise that is not already built for it can be difficult. Although some implementations have succeeded, others have failed, and this article presents six major reasons for failing to get big data up and running (and how to avoid those same traps).
Making a Data Lake Requires Traditional Approach to Data
(Source: Tech Target)
Data lakes can be extremely useful, but many enterprises are struggling to bring out the full potential of them or data in general. This interview with a data warehousing expert examines the major issues enterprises have with data.
Making Open Source Work for Your Enterprise
(Source: CIO)
Open source tools have tremendous upside if used properly, though knowing what proper use of open source tools is might be hard to recognize. This article discusses the main areas your enterprise will have to work at to effectively utilize open source.
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Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.