A hands-on tutorial using Spark SQL and DataFrames to retrieve insights and visualizations from datasets published by the City of San Francisco.
In this intermediate-level tutorial, I'll address the question of which Apache Spark APIs to use, with a series of brief technical explanations and demos that highlight best practices, latest APIs, and new features in Spark 2.0.
Information security is a growing concern. Check out the list of the top five most concerning security issues for this year.
The increase of M-Commerce means that more of your customers are visiting your website on mobile devices. Improve your ROI with these mobile development methods.
When you're just starting out in the world of software development, it can be tempting to rely exclusively on self teach methods. After all, there are a number of great resources available to you. From code.org to Code Academy and Stack Overflow - seeking answers to your technology questions and educating yourself about the development language you're using is simpler than it has ever been. But are these efforts enough to land you a career in software development? Or to help you become a better IT professional?
This is an AngularJS tutorial to show how to create a web application using Rest API integration. In this web application tutorial you'll learn how to create an AngularJS app. The full Angular source code is provided at the end of the tutorial.
s Client Server Technologies surged in the mid 90's, the mainframe was predicted to be dead at or near the turn of the century. The debate still carries on throughout the world of IT. That debate has two sides. On one side are those who believe that the mainframe is obsolete and enterprise organizations are running into massive handicaps and maintenance drag with their legacy systems. On the other hand, the supporters claim that enterprise companies and government organizations are so reliant on these systems that it will be a long time if ever before they'll stop using them. Who is right? Both, perhaps.
In this tour from QCon SF, I'll show you Spark's ability to rapidly process Big Data. I'll demonstrate extracting information with RDDs, querying data using DataFrames, visualizing and plotting data, and show you how to create a machine-learning pipeline with Spark-ML and MLLib. We'll also discuss the internals which make Spark 10-100 times faster than Hadoop MapReduce and Hive.