Apache Spark with Scala – Hands On with Big Information! Download
Apache Spark tutorial with 20+ palms-on examples of analyzing giant information units, in your desktop or on Hadoop with Scala!
What you’ll be taught
- Body massive information evaluation issues as Apache Spark scripts
- Develop distributed code utilizing the Scala programming language
- Optimize Spark jobs by partitioning, caching, and different methods
- Construct, deploy, and run Spark scripts on Hadoop clusters
- Course of continuous streams of information with Spark Streaming
- Remodel structured information utilizing SparkSQL, DataSets, and DataFrames
- Traverse and analyze graph buildings utilizing GraphX
- Analyze large information set with Machine Studying on Spark
- Some prior programming or scripting expertise is required. A crash course in Scala is included, however you could know the basics of programming with the intention to decide it up.
- You will want a desktop PC and an Web connection. The course is created with Home windows in thoughts, however customers snug with MacOS or Linux can use the identical instruments.
- The software program wanted for this course is freely obtainable, and I’ll stroll you thru downloading and putting in it.
New! Fully up to date and re-recorded for Spark 3, IntelliJ, Structured Streaming, and a stronger concentrate on the DataSet API.
“Big information” evaluation is a sizzling and extremely useful ability – and this course will train you the most popular expertise in massive information: Apache Spark. Employers together with Amazon, EBay, NASA JPL, and Yahoo all use Spark to shortly extract that means from large information units throughout a fault-tolerant Hadoop cluster. You’ll be taught those self same methods, utilizing your personal Home windows system proper at dwelling. It’s simpler than you may suppose, and also you’ll be studying from an ex-engineer and senior supervisor from Amazon and IMDb.
Spark works finest when utilizing the Scala programming language, and this course features a crash-course in Scala to get you up to the mark shortly. For these extra acquainted with Python nonetheless, a Python model of this class can also be obtainable: “Taming Big Data with Apache Spark and Python – Hands On”.
Be taught and grasp the artwork of framing information evaluation issues as Spark issues by over 20 palms-on examples, after which scale them as much as run on cloud computing companies on this course.
- Be taught the ideas of Spark’s Resilient Distributed Datasets, DataFrames, and Datasets.
- Get a crash course within the Scala programming language
- Develop and run Spark jobs shortly utilizing Scala, IntelliJ, and SBT
- Translate advanced evaluation issues into iterative or multi-stage Spark scripts
- Scale as much as bigger information units utilizing Amazon’s Elastic MapReduce service
- Perceive how Hadoop YARN distributes Spark throughout computing clusters
- Follow utilizing different Spark applied sciences, like Spark SQL, DataFrames, DataSets, Spark Streaming, Machine Studying, and GraphX
By the tip of this course, you’ll be working code that analyzes gigabytes value of data – within the cloud – in a matter of minutes.
We’ll have some enjoyable alongside the way in which. You’ll get warmed up with some easy examples of utilizing Spark to research film scores information and textual content in a ebook. When you’ve bought the fundamentals below your belt, we’ll transfer to some extra advanced and fascinating duties. We’ll use 1,000,000 film scores to search out motion pictures which are related to one another, and also you may even uncover some new motion pictures you may like within the course of! We’ll analyze a social graph of superheroes, and be taught who probably the most “standard” superhero is – and develop a system to search out “levels of separation” between superheroes. Are all Marvel superheroes inside a couple of levels of being linked to SpiderMan? You’ll discover the reply.
This course could be very palms-on; you’ll spend most of your time following alongside with the teacher as we write, analyze, and run actual code collectively – each by yourself system, and within the cloud utilizing Amazon’s Elastic MapReduce service. over 8 hours of video content material is included, with over 20 actual examples of accelerating complexity you may construct, run and research your self.
Enroll now, and benefit from the course!
Who this course is for:
- Software program engineers who need to increase their abilities into the world of huge information processing on a cluster
- When you’ve got no earlier programming or scripting expertise, you’ll need to take an introductory programming course first.
Apache Spark with Scala – Hands On with Big Information! Free Download
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