1、Democratizing Analytics in the Cloud-first Enterprise Using a Semantic LayerWh i t e pap e rBy Kirk BorneKirk has been an influential globally recognized leader in the data science space for 20 years.His areas of passion and focus include Big Data&Data Science,Artificial Intelligence(AI),and Astroph

2、ysics.Kirk is also the co-creator of the field of Astroinformatics.2Data Then,and Data NowData Democratization and its ChallengesIf you are already familiar with databases,BI(business intelligence),and even data mining,you might be thinking:we have had these things for many years,so whats all the fu

3、ss about right now with data analytics,data science,machine learning,and AI?The short answer to that question is this:data science(DS)and machine learning(ML)are hot right now due to the enormous growth in data volumes and data variety in recent years,and due to the significant increase in the capac

4、ity of those techniques to reveal significant new discoveries and insights that deliver new value(and opportunities)to organizations.A longer answer to our question would cover these emergent perspectives:DS/ML now engages three significantly expanded,improved,and mature technologies:?Ubiquitous dat

5、a sources(including sensors,networks,logs,mobile apps,etc.);?Greater access to more powerful computing(including virtual on-demand distributed computing with the Cloud);?Sophisticated and more powerful machine learning algorithms for insights discovery from data.Despite such remarkable advancements,

6、there are a few hurdles that stand in the way of democratizing their benefits across the entire enterprise.These truths might be self-evident,but we will review them here.Several significant truths that have become very clear in the data analytics sphere in recent years include the primary truth(our