SPARK Instructor-led Training
Free server access, Class recordings, Certification guidance, Job & Interview assistance, Course Completion Certificate
Uplatz
Summary
- Uplatz Certificate of Completion - Free
- Tutor is available to students
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Overview
Uplatz offers comprehensive training on Apache Spark. This is instructor-led online course.
COURSE DETAILS
Learn the fundamentals of Spark, the technology that is revolutionizing the analytics and big data world!
Spark is an open source processing engine built around speed, ease of use, and analytics. If you have large amounts of data that requires low latency processing that a typical MapReduce program cannot provide, Spark is the way to go.
- Learn how it performs at speeds up to 100 times faster than Map Reduce for iterative algorithms or interactive data mining.
- Learn how it provides in-memory cluster computing for lightning fast speed and supports Java, Python, R, and Scala APIs for ease of development.
- Learn how it can handle a wide range of data processing scenarios by combining SQL, streaming and complex analytics together seamlessly in the same application.
- Learn how it runs on top of Hadoop, Mesos, standalone, or in the cloud. It can access diverse data sources such as HDFS, Cassandra, HBase, or S3.
Certificates
Uplatz Certificate of Completion
Digital certificate - Included
Course Completion Certificate by Uplatz
Course media
Resources
- Course Syllabus - Apache Spark - download
Description
COURSE CURRICULUM
- Module 1 - Introduction to Spark - Getting started
- What is Spark and what is its purpose?
- Components of the Spark unified stack
- Resilient Distributed Dataset (RDD)
- Downloading and installing Spark standalone
- Scala and Python overview
- Launching and using Spark’s Scala and Python shell ©
- Module 2 - Resilient Distributed Dataset and DataFrames
- Understand how to create parallelized collections and external datasets
- Work with Resilient Distributed Dataset (RDD) operations
- Utilize shared variables and key-value pairs
- Module 3 - Spark application programming
- Understand the purpose and usage of the SparkContext
- Initialize Spark with the various programming languages
- Describe and run some Spark examples
- Pass functions to Spark
- Create and run a Spark standalone application
- Submit applications to the cluster
- Module 4 - Introduction to Spark libraries
- Understand and use the various Spark libraries
- Module 5 - Spark configuration, monitoring and tuning
- Understand components of the Spark cluster
- Configure Spark to modify the Spark properties, environmental variables, or logging properties
- Monitor Spark using the web UIs, metrics, and external instrumentation
- Understand performance tuning considerations
Requirements
Passion and determination to achieve your goals!
Questions and answers
I'm a 15 year old boy who lives in Egypt on 10th grade but wants to learn more about this topic, is it available for me or no?
Answer:Hi This course is most suitable for professionals having some experience under their belt. Regards Team Uplatz
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Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.