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A Few 2016 Technology Predictions

In(tegrate) the Clouds

I enjoy the end of the year technology predictions, even though it’s hard to argue with this tweet from Merv Adrian: By 2016, 99% of readers will be utterly sick of predictions. 2016 will be the year of the data lake. In 2016, which software company will be the biggest game-changer for the long term?

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

For nearly a decade, it’s provided a venue for developers, data and ML engineers, data architects, data scientists, and others to acquire or hone skills, explore provocative ideas, and network with peers. 2) is unchanged from Strata NY 2018, it’s up three places from Strata NY 2017—and eight places relative to 2016.

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Celebrating 40 years of Db2: Running the world’s mission critical workloads

IBM Big Data Hub

Db2 Warehouse SaaS, on the other hand, is a fully managed elastic cloud data warehouse with our columnar technology. watsonx.data integration At Think, IBM announced watsonx.data as a new open, hybrid and governed data store optimized for all data, analytics, and AI workloads.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

It was lately revised and updated in January 2016. 8) Data Smart: Using Data Science to Transform Information into Insight, by John W. Best for: a somewhat technical reader who is good with Excel, but doesn’t know much about data science.

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