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Apache Spark Training -Free Live Demo Session

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Online Session | gotomeeting

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Description

Free Live Demo Session

LearningSpear is the platform to learn Apache Spark.

  • We Conduct ONLINE Training classes.
  • We offer Weekend & Week Days Classes.

Learn in just 25hrs

2 Weekends: Sat-Sun (9 AM – 4PM PST)

4 Weeks: Mon-Thru (6 PM – 7.30 PM PST)

About The Course:

This course teaches you Apache Spark, trains you in building Spark Analytics and machine learning programs and helps you practice hands-on with an end-to-end real life application project.

Our goal is to help you and everyone learn, so we keep our prices low and affordable.

Apache Spark is the hottest Big Data skill today. More and more organizations are adapting Apache Spark for building their big data processing and analytics applications and the demand for Apache Spark professionals is sky rocketing.

You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. You will also learn the various interactive algorithm in Spark and use Spark SQL for creating, transforming, and querying data form.

Course Overview:

    What You Learn:

    • Why Apache Spark
    • Apache Spark Concepts, Key Terms and Keywords
    • Advanced Apache Spark Internals and Core
    • DataFrames, Datasets and Spark SQL Essentials
    • Graph Processing with GraphFrames
    • Continuous Applications with Structured Streaming
    • Machine Learning for Humans
    • Apache Spark, its architecture and benefits
    • Spark's architecture, deployment strategies and use cases
    • Spark's impact to data science, analytics and machine learning
    • Best practices for large Spark deployments

    Pre-Requisites:

    • Basics of Hadoop file system+ Understanding of SQL concepts
    • Basics of any Distributed Database (Hbase, Cassandra)
    • Apache spark is available in 3 languages
      • JAVA
      • Python
      • Scala
    • Ubuntu 14.04 Droplet

    Training Details:

    • It's a 25 hours course
    • We provide 2 weekends & 4 weeks online sessions.
    • Weekend session will be for 5-7 hours & Weekday session for 90 minutes.
    • Every session will have presentation about theory, concepts and technology.

    Upcoming Schedule:

    Sat-Sun (2 weekends) | Nov 18, 2017 | 9 AM – 4 PM PST

    Mon-Thu (4 weeks) | Nov 20, 2017 | 6 PM – 7.30 PM PST

    Sat-Sun (2 weekends) | Dec 2, 2017 | 9 AM – 4 PM PST

    Mon-Thu (4 weeks) | Dec 18, 2017 | 6 PM – 7.30 PM PSTUpcoming

    gotomeeting:

    Join https://global.gotomeeting.com/join/581956013

    Who needs to attend:

    • Students.
    • Graduates, Freshers.
    • Software Analysts/Programmers/Developers and architects
    • Analytics professionals.
    • BI professionals.
    • Candidates aspiring to build a career in Big Data.
    • Data scientists.

    Course Outline:

    Practice throughout the course, you will write Apache Spark code and perform other hands‑on exercises to solidify your understanding of the concepts.


    Free Demo gives you a clear insight about the course, course content and other details regarding the respective training.

    You can attend a Free Demo session before you enroll for the class.

    We have limited number of participants in this live session to maintain the quality standards.

    If you would like to attend a Demo session, please contact through phone/email and we will reach you with in no time.

    However, you can go through the course content and details at learningspear.com, it gives you a clear vision about each individual course.

    Contact:

    Phone: +1 (424) 444-9900

    email us at

    help@learningspear.com

    For more details, check out our website www.learningspear.com


    FAQs:

    Does this Free Demo have any restrictions?

    No, this event is open to every individual who plan to take the course online.

    Where can I contact the organizer with any questions?

    Phone: +1 (424) 444-9900

    email us at help@learningspear.com

    website: www.learningspear.com


    See you at the event!!


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