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Careers, Certifications, IT Skills, Technology Industry AI skills more valuable than certifications There were a couple of stand-outs among those. The pattern was similar for certifications, with most volatile being data and databases (38% of skills changing in value) and application development and programming languages (35%).
It is not always the newest technologies that pay the best. Some of the fastest-rising pay premiums during the quarter were for knowledge of the venerable DB2 and Apache Sqoop, a command-line interface for loading Hadoop databases that ceased development last year.
The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.
This is something that you can learn more about in just about any technology blog. Over time, it is true that artificial intelligence and deeplearning models will be help process these massive amounts of data (in fact, this is already being done in some fields). Prescriptiveanalytics.
It is not always the newest technologies that pay the best. Some of the fastest-rising pay premiums during the quarter were for knowledge of the venerable DB2 and Apache Sqoop, a command-line interface for loading Hadoop databases that ceased development last year.
We also took a first look at how fp&a and business intelligence professionals can start to derive tangible value from these technologies for Enterprise Performance Management. Now, we will take a deeper look into AI, Machine learning and other trending technologies and the evolution of data analytics from descriptive to prescriptive.
One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). to generate key insights and actionable intelligence for predictive and prescriptiveanalytics.
However, data can easily become useless if it is trapped in an outdated technology. They also aren’t built to integrate new technologies such as artificial intelligence and deeplearning tools, which can move business to continuous intelligence and from predictive to prescriptiveanalytics.
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