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Migrate from Amazon Kinesis Data Analytics for SQL to Amazon Managed Service for Apache Flink and Amazon Managed Service for Apache Flink Studio

AWS Big Data

Amazon Kinesis Data Analytics for SQL is a data stream processing engine that helps you run your own SQL code against streaming sources to perform time series analytics, feed real-time dashboards, and create real-time metrics. Apache Flink is a distributed open source engine for processing data streams.

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Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate

Cloudera

Cloudera, together with Octopai, will make it easier for organizations to better understand, access, and leverage all their data in their entire data estate – including data outside of Cloudera – to power the most robust data, analytics and AI applications.

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A breakthrough in GDPR data analytics

IBM Big Data Hub

The European Union recently implemented its General Data Protection Regulation (EU) 2016/679 (GDPR). This new regulation has created a challenge for many organizations in terms of how to maintain compliance with the new data protection and privacy laws while continuing to use data for analytics.

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Data Analytics Helps Marketers Make the Most of Instagram Stories

Smart Data Collective

One example of this trend is by using analytics to measure the engagement of Instagram stories to get customers to interact more frequently. Data Analytics is the Backbone of Instagram Marketing Instagram CEO Kevin Systrom has stated that Instagram is in the process of becoming a big data company.

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The 2016 Crystal Ball – What’s Next in Data?

Alation

Considering what we’ve seen this year in industry trends and patterns, we have compiled some predictions for 2016 from our co-founders at Alation. Venky Ganti, CTO & Co-Founder: Data sprawl will finally hit its threshold. Data sprawl has been prevalent for several years. 2016 will be the year of the “logical data warehouse.”

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The Top 20 Data Visualization Books That Should Be On Your Bookshelf

datapine

Previously, we discussed the top 19 big data books you need to read, followed by our rundown of the world’s top business intelligence books as well as our list of the best SQL books for beginners and intermediates. 11) “Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks” by Jonathan Schwabish.

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4 Great Programs Businesses Can Use to Get Accurate Data Results

Smart Data Collective

In 2016 experts projected that the “ big data ” industry would be worth somewhere around $30 billion by 2022. Some more in-depth programs exist, but many require knowledge in a programming language or a very deep understanding of data analytics. This list is for individuals who are looking to “do it themselves” with data.

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