Taming Big Data with Spark Streaming and Scala

Taming Big Data with Spark Streaming and Scala

5.5 Hours
$38.00$40.00
You save 5%
Taming Big Data with Spark Streaming and Scala - Hands On!

34 Lessons (5.5h)

  • Getting Started
  • A Crash Course in Scala
  • Spark Streaming Concepts
  • Spark Streaming Examples with Twitter
  • Spark Streaming Examples with Clickstream / Apache Access Log Data
  • Integrating with Other Systems
  • Advanced Spark Streaming Examples
  • Spark Streaming in Production
  • You Made It!
DescriptionInstructorImportant DetailsRelated Products

Process Massive Streams of Data in Real Time & Start Working Towards a Career in Big Data

FK
Frank KaneFrank Kane spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.

Description

Big Data analysis is an essential component of any company organization that works with mass amounts of data, and it's a constantly adapting and innovating field. Spark Streaming is a new and quickly developing technology for processing mass data sets in real time. Whether it's clickstream data from a major website, sensor data from an Internet of Things deployment, financial data, or any other large stream of data, Spark Streaming has the capability to transform and analyze that data as it is created. The professional applications of this technology are obvious, and this course will get you up to speed not just in Spark Streaming, but in Big Data generally, so you can confidently start looking for high-paying Big Data jobs.

  • Access 34 lectures & 5.5 hours of content 24/7
  • Get a crash course in the Scala programming language
  • Learn how Apache Spark operates on a cluster
  • Set up discretized streams w/ Spark Streaming & transform them as data is received
  • Analyze streaming data over sliding windows of time
  • Maintain stateful information across streams of data
  • Connect Spark Streaming w/ highly scalable source of data, including Kafka, Flume, & Kinesis
  • Dump streams of data in real-time to NoSQL databases such as Cassandra
  • Run SQL queries on streamed data in real time
  • Train machine learning models in real time w/ streaming data, & use them to make predictions
  • Package, deploy & run self-contained Spark Streaming code to a real Hadoop cluster using Amazon Elastic MapReduce

Specs

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: intermediate

Terms

  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
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