Remove 2017 Remove Analytics Remove Big Data Remove Data Lake
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3 Major Trends at Strata New York 2017

DataRobot Blog

With this integration, customers can now harness the full power of Azure’s Big Data offerings in a self-service manner to gain immediate value.”. This highlights the two companies’ shared vision on self-service data discovery with an emphasis on collaboration and data governance. Try now for free.

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Munich Re Launches Enterprise-Wide Data-Driven Platform for Analytics

Alation

A lot of people in our audience are looking at implementing data lakes or are in the middle of big data lake initiatives. I know in February of 2017 Munich Re launched their own innovative platform as a cornerstone for analytics that involved a big data lake and a data catalog.

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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Data analytics priorities have shifted this year. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

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A Retrospective of 2018’s Articles

Peter James Thomas

As in 2017 , I have failed miserably in my original objective of posting this early in January. Overall the total number of articles and new pages I published exceeded 2017’s figures to claim the second spot behind 2009; our first year in business. These are as follows: General Data Articles. Data Visualisation.

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La convergenza tra IT e business: ecco come i CIO reinterpretano il loro ruolo con l’aiuto dell’IA

CIO Business Intelligence

Il nuovo ruolo dell’IT: la business continuity Deligia ha costruito la sua strategia per la business continuity sulle fondamenta tecnologiche di big data , analytics, automazione e IA. Il primo passo di questa trasformazione è stato organizzativo.

IT 95
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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. An efficient big data management and storage solution that AWS quickly took advantage of. They now have a disruptive data management solution to offer to its client base.

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Introducing Amazon EMR on EKS job submission with Spark Operator and spark-submit

AWS Big Data

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). With EMR on EKS, Spark applications run on the Amazon EMR runtime for Apache Spark. Replace in the following code with the bucket name.