Apache Spark is hailed as being Hadoop's successor, claiming its throne as the hottest Big Data platform. What the founding fathers of Spark are saying and doing about its future and its positioning in the market has never been more timely.
Infographic: Apache Spark Incredibly Faster than Mapreduce and Mahout . Spark is not tied to the two-stage MapReduce paradigm, and promises performance up to 100 times faster than HadoopMapReduce for certain applications.
Big Data Analytics with Spark - http://jaebooks.com/2017/11/big-data-analytics-spark/
Big Data has moved past its due date of just being a buzz, and we may not realize but we are already part of the movement. From data driven strategizing to dec…
Udemy Online Courses 100% OFF Coupons: Apache Spark with Scala - Mastering Big Data!
Spark and python tutorials in bangalore and pune by prwatech
Apart from Spark Tutorials, there is Data Scientist Courses in Bangalore that enables you to manage processing of large data sets across innumerable computers with the help of simple programming tactics.
Hitchhiker's Guide to Data Science, Machine Learning, R, Python – Data Science Central
Spark : Big Data Cluster Computing in Production (Paperback) (Ilya Ganelin & Ema Orhian & Kai Sasaki &
Big Data Analytics With Spark: A Practitioner's Guide to Using Spark for Large Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing
Scala and Spark for Big Data and Machine Learning
Building a natural language processing library for Apache Spark The OReilly Data Show Podcast: David Talby on a new NLP library for Spark and why model development starts after a model gets deployed to production. When I first discovered and started using Apache Spark a majority of the use cases I used it for involved unstructured text. The absence of libraries meant rolling my own NLP utilities and in many cases implementing a machine learning library (this was pre deep learning and MLlib…