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Migrate from Amazon Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics Studio

AWS Big Data

Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time. In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flinkā€™s advanced streaming capabilities.

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Make Every Sprint Count with DevOps Analytics

Sisense

DevOps first came about in 2007-2008 to fix problems in the software industry and bring with it continuous improvement and greater efficiencies. DevOps analytics is the analysis of machine data to find insights that can be acted upon. DevOps data analytics can be set up and measured at any time during your DevOps journey.

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Simplify and speed up Apache Spark applications on Amazon Redshift data with Amazon Redshift integration for Apache Spark

AWS Big Data

In the following sample code, we generate a report showing the quarterly sales for the year 2008. To do that, we join two Amazon Redshift tables using an Apache Spark DataFrame, run a predicate pushdown, aggregate and sort the data, and write the transformed data back to Amazon Redshift. where( col("year") == 2008).groupBy("qtr").sum("qtysold").select(

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Themes and Conferences per Pacoid, Episode 5

Domino Data Lab

Lately Iā€™ve been developing curriculum for a client for their new ā€œIntro to Data Scienceā€ sequence of courses. Iā€™ve been teaching data science since 2008 privately for employers ā€“ exec staff, investors, IT teams, and the data teams Iā€™ve led ā€“ and since 2013, for industry professionals in general. Thatā€™s no problem.

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Data Observability and Monitoring with DataOps

DataKitchen

Thatā€™s a fair point, and it places emphasis on what is most important ā€“ what best practices should data teams employ to apply observability to data analytics. We see data observability as a component of DataOps. In our definition of data observability, we put the focus on the important goal of eliminating data errors.

Testing 214
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How The Cloud Made ā€˜Data-Driven Cultureā€™ Possible | Part 1

BizAcuity

2008: Microsoft announces Windows Azure (PaaS) with Azure Blob storage (S3 competitor). Microsoft also releases Power BI, a data visualization and business intelligence tool. Due to the unimaginable scale in which data could be accumulated in this decade, data management and AI will take the front seat in innovation.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Heā€™s been out of Wolfram for a while and writing exquisite science books including Elements: A Visual Explanation of Every Known Atom in the Universe and Molecules: The Architecture of Everything. 2008 – Financial crisis : scientists flee Wall St. 2018 – Global reckoning about data governance, aka ā€œOops!