Taming Big Data with Spark Streaming and Scala for $38
On offer
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
Frank 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.
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
Compatibility
Terms
- All sales final
- Instant digital redemption
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