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The Top 10 Most Popular VISION Blogs of 2017

Cloudera

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. On April 28, 2017, Mike Olson , as one of the founders of Cloudera, writes about the initial public offering, and what the milestone means. “We Machine Learning in the Age of Big Data.

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Strata Data Singapore 2017: Big Data, Safe Data, Cloud Data

Cloudera

If you’re going to Strata Data Singapore 2017 at the Suntec Singapore Convention & Exhibition Centre , here are four sessions to attend that cover various combinations of my favorite themes: big data, safe data, and cloud data. 9:00am–12:30pm Tuesday, December 5, 2017. See you there! Read more.

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Brief History of Data Engineering

Jesse Anderson

They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. It was the place where the brightest big data minds came and spoke. Big data projects were given to data scientists and data warehouse teams, where the projects subsequently failed.

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New on Cloud Academy: Machine Learning on Google Cloud and AWS, Big Data Analytics, Terraform, and more

Cloud Academy

A 2017 IDC White Paper “recommend[s] that organizations that want to get the most out of cloud should train a wide range of stakeholders on cloud fundamentals and provide deep training to key technical teams ” (emphasis ours). Regular readers of the Cloud Academy blog know we’ve been talking about this for a long time.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

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5 Apache Spark Best Practices

Data Science Blog: Data Engineering

Already familiar with the term big data, right? Despite the fact that we would all discuss Big Data, it takes a very long time before you confront it in your career. Apache Spark is a Big Data tool that aims to handle large datasets in a parallel and distributed manner. Begin with a small sample of the data.

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Data Engineers of Netflix?—?Interview with Pallavi Phadnis

Netflix Tech

Netflix’s unique work culture and petabyte-scale data problems are what drew me to Netflix. During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics.