TDWI Upside - Where Data Means Business

Best of Upside’s Data Digest

Interesting articles we found on the Web focus on data scientists, data integration and quality, cloud computing and small business, SQL-on-Hadoop engines, and unstructured data.

Data Integration: 10 Must Haves
(Source: Dbta)

Computing services and cloud-based software have shaken up the traditional ways of data integration. Now, new efficient and effective integration practices have taken their place. This article reviews the 10 characteristics a modern data integration program must have.

The Fundamentals to Becoming a Data Scientist
(Source: Techvibes)

The data scientist is the most hyped job of 2016. Despite that (or perhaps because of it), there are not enough of data scientists to go around. Many enterprises cannot find a qualified candidate, which is why this article is all about becoming a data scientist without a degree.

How Cloud Computing Can Help the Little Guy
(Source: Growmap)

Many enterprises, large and small, are moving to the cloud. Much has been written about what larger enterprises can do once there, but this article specifically helps smaller ones get a leg up on cloud computing.

Trying to Improve the Customer Experience? Improve Data Quality First
(Source: Datamentors.com)

Providing a good customer experience is fundamental to making a good enterprise, but according to recent surveys, poor data quality and integration have been wreaking havoc on improving the customer experience. This article reviews the survey and offers solutions.

Strengths and Weaknesses of Leading SQL-on-Hadoop Engines
(Source: Network World)

A new study has shown that there is no definitive “best” option for an SQL-on-Hadoop engine; all three of the leading ones are good and bad in their own ways. This article covers the findings of the inquiry and what it means when your enterprise has to choose one engine for the job.

Demystifying Unstructured Data for Better Insight
(Source: Datanami)

An enormous amount of data (nearly 80 percent) in an enterprise is unstructured. Getting useful insight from that pile of data is difficult, but well worth the effort if done right. This article offers some ways to crack unstructured data for effective insight.

About the Author

Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.


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