How has the job market changed for data management and data warehousing professionals with the big data moveme...
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It's a natural evolution for data management and data warehousing professionals to move into big data jobs. A majority of companies have embraced data analytics, and many are looking at deploying big data applications to help them make decisions related to various aspects of their business. With the steady increase in demand for professionals who possess data management skills comes the expectation that those in data architecture design and other key roles will incorporate big data capabilities into their skill sets.
At the same time, the need for the traditional data integration professional with extract, transform and load (ETL) skills remains consistent, though some people argue that this role has become somewhat commoditized. Many organizations have sent their application support and maintenance work overseas, but data management is an integral piece of a well-managed technology strategy: Companies rely on highly skilled data management professionals to make data "come alive." That becomes even more important when big data is involved. Big data skills are far from being commoditized, and the need for workers with experience developing and managing big data systems -- and for data scientists and other analytics professionals -- will only increase. It would be almost impossible to offshore big data jobs effectively.
Big data is the current wave, and within the next five years, there will most likely be another technology development or advancement in the data management space that will build upon it. Data management professionals can begin capitalizing on industry trends now by welcoming opportunities to build on their big data knowledge and experience.
Learn more about recent changes in the world of big data jobs
Check out this handbook on the future of big data architectures
Read more about the influence of big data on technology trends
Dig Deeper on Data management jobs, training and certification
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