May 16, 2016
YOUR FORTNIGHTLY STREAM OF BIG DATA NEWS THAT MATTERS.
Booth Babes Are Out, Cosplay Is In
Is seems clear that Booth Babes at tech industry trade shows are finally out. The culture has dramatically shifted and anyone that crosses that line risks negative reactions at the show and even bigger fallout on social networks as people pile on with objection and outrage. The risks exceed the rewards if there ever were any in the first place. CLICK HERE
Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source
Google has shared the fruits of their research with the broader community by releasing SyntaxNet, an open-source neural network framework implemented in TensorFlow that provides a foundation for Natural Language Understanding (NLU) systems. The release includes all the code needed to train new SyntaxNet models on your own data, as well as Parsey McParseface, an English parser trained for use analyzing English text. READ MORE
Creating a serverless ETL nirvana using Google BigQuery
Apache Hadoop – The Data Management Platform for IoT
While a lot of attention and focus up until now has been on the things or objects, Internet of Things (IoT) isn’t going about the things itself or connecting these things to the Internet. IoT is really going to be all about data. With 30+ billion things connected, IoT will drive an explosion of data that will need to be stored, processed, analyzed, and served, in some cases in real time to drive business value. READ MORE
Github Announces Unlimited Private Repositories
One of the very best things about Git and other distributed version control systems is the ability to create a new repository without asking permission or getting approval. While this has always been true for our public plans, it hasn’t been the case for individuals and teams working together in private. Paid plans on GitHub.com now include unlimited private repositories. GitHub will always be free for public and open source projects, but now there are just two ways to pay for GitHub.com. READ MORE
Overview of Apache Spark and How it Works
Apache Spark began as a class project in UC Berkeley’s AMPLab in 2009. During an interview with Ion Stoica, UC Berkeley professor and databricks CEO, it was revealed the project’s goal was to create a cluster management framework that was capable of supporting different kinds of cluster computing systems. Following the creation of Mesos, AMPLab students wanted to take the framework one step further, resulting in the creation of Spark. Read on for real-world applications Spark offers. READ MORE
Is Your Startup Idea Already Taken?
There’s an ongoing joke in the startup world about how aspiring founders pitch their new ventures. Every startup idea is reduced to an “Uber for _____” or a “Tinder for _______”, where some niche untapped market is inserted in the blank space. Much to the chagrin of many venture capitalists, this formulaic phraseology is so pervasive that it actually may hinder the creation of any actual original ideas. READ MORE
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