Big Data Essentials
- All levels
- 16 and older
- $2,995
- Earn 29,950 reward points
- Price Lock Guarantee
- Live Online Training
- 40 hours over 5 sessions
May 13th
10am–5pm EDT
Meets 8 Times
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Class Description
Description
What you'll learn in this big data training:
Big Data Essential covers the technologies essential in building modern-day Big Data applications. Such applications usually include scalable storage and computation (Hadoop), fast scalable databases (NoSQL), and interactive and real-time analytics, as well as machine learning (Spark). These areas are all covered in the course.
In order to build a successful Big Data system, it is not enough to just know how to run appropriate technologies. It is important to also master the right architectural approach. The Big Data Essentials contains practical labs and best practices for architecting Big Data systems.
Who should attend:
This course is for developers implementing Big Data systems, architects who plan and architect them, and technical managers who want a solid foundation for their work.
Prerequisites:
To ensure your success in this course, you should be familiar with at least one programming language and be comfortable working with a command-line interface.
Course Objectives:
- Master the best practices of Hadoop programming in Pig, Hive, and Java
- Enhance Big Data solutions for real-time data access with the help of NoSQL technologies, such as HBase and Cassandra
- Grasp the essence of NoSQL data modeling in contrast to SQL data modeling
- Utilize Spark for interactive data analytics with Scala or SQL
- Implement near-real-time analytical processing with Spark Streaming
- Big Data Overview
- Hadoop Introduction
- HDFS and MapReduce Primer
- Hive
- Hive 2
- Pig
- Hadoop Cluster Planning
- Hadoop Install and Configure
- Hadoop Data Ingest
- NoSQL Intro
- Cassandra Intro
- Cassandra Data Modeling 1
- Cassandra Data Modeling 2
- Cassandra Data Modeling Labs
- Scala Primer
- Introduction to Spark
- Spark Data Model 1
- Spark Data Model 2
- Spark API/Applications
- Machine Learning Primer
- Spark Streaming
Remote Learning
This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.
Upon registration, the instructor will send along additional information about how to log-on and participate in the class.
Refund Policy
A student who cancels within 7 days of signing the enrollment agreement but before instruction begins receives all monies returned with the exception of the non-refundable registration fee.
Thereafter, a student will be liable for:
- The non-refundable registration fee of $100 plus
- The cost of any textbooks or supplies accepted plus
- Tuition liability as of the student's last date of physical attendance
- Prior to or during the first week - 0% Penalty
- During the second week - 25% Penalty
- During the third week - 50% Penalty
- During the fourth week - 75% Penalty
- After the fourth week - 100% Penalty
The failure of a student to notify CourseHorse in writing of withdrawal may delay a refund of tuition.
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NetCom Learning
NetCom Learning delivers top-quality training and certification solutions to businesses, individuals and government agencies.
Experience
Since its inception in 1998, NetCom has trained over 95 percent of the Fortune 500, serviced over 23,000 business customers, and advanced the skills and careers of over...
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