Big Data Engineering

Days
Hours
Minutes
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START DATE: 29th October, 2019 

START TIME: 09:30 AM TO 12:00 PM (EST)

Big Data is the new buzz word in the tech market. And even though words like Hadoop big data have been around for a while, the market still has demand for professionals with knowledge of Hadoop and big data.

With Ismart Learning’s big data training certification and gain proficiency to work with Hadoop, MapReduce, Spark, Kafka, Apache Pig, Hive, and more. Hadoop training with Ismart Learning can prepare you with the skills and knowledge to get the best roles in the industry. Market trends indicate that many existing IT roles will perish eventually. Considering the same, this is a good time to learn something new. This course is prepared seeking inputs from the best in the industry and covers comprehensive knowledge that can help with in-depth learning. The Hadoop certification will equip individuals with the skills to manage big data for large companies and industries.

Ismart Experience

Whether you are a seasoned professional, fresher or someone seeking to upskill in new technologies. This big data training should help you gain insight into the real world use cases of big data. Additionally, with Hadoop knowledge you can try a new career and transition into a more challenging role.

What’s more exciting is that all industries are already showing interest in Hadoop and big data. They are eager to learn from their data and prepare solutions that will help them gain a competitive edge in their industry.

Learning Pathway with I Smart Learning (Course Curriculum)

Introduction to Big Data and Hadoop Framework (7.5 HOURS- Live instructor classes)

  • Cluster setup for processing Big Data on your own computer.
  • Core concepts behind big data problems, applications, and systems.
  • Know to Manage big data and how Hadoop fits into this role.

Big Data is referred to any complex volume of data that are difficult to store and retrieve using traditional file systems and data processing applications. Among the major Big Data concepts theories and applications, are unstructured and semi-structured data without any predefined data model. Apache Hadoop is an open-source Java-based framework, which enables the storage and processing of a variety of Big data formats in either single and distributed file systems.

Based on the MapReduce technology, the Hadoop Distributed File System (HDFS) can be configured on a Hadoop cluster setup step by step. As a network administrator, you can also build Hadoop cluster at home or set up a personal Hadoop cluster to implement HDFS.

Ismart provides a range of Big Data basics tutorial along with tips on overcoming common Big Data challenges. Enroll today to learn this in-demand technology.

Pay as you Go!! Great offer for someone like you who wants only the above unit to learn!

Rate/hour($) Unit 1 (7.5 hour)
Member 12 $ 90.00 Pay Now
Non Members 14 $ 105.00 Pay Now
Enrolled Students 9 $ 67.5.00 Pay Now

 

Programming and Linux Fundamentals (5 HOURS- Live instructor classes)

  • Fundamentals of Java, Scala and Linux

The Scala programming language is designed towards providing support for functional programming with a static type system. The functional program design in Scala enables its source code to be compiled to a Java bytecode, which can be easily executed on any Java virtual machine. Among the major functional programming principles in Scala includes features such as operator overloading, named parameters, along with support for algebraic data types, which are not present in Java.

Powering 94% of the global supercomputers, Linux is a powerful operating system that is also operating in Android-based smartphones globally. Linux programmers are well-conversed with Linux shell programming commands and the use of command line instructions to interact with the Linux system.

Along with online tutorials in Scala programming, Ismart provides online material including Java fundamentals tutorial guides and Linux fundamentals training material.

Pay as you Go!! Great offer for someone like you who wants only the above unit to learn!

Rate/hour($) Unit 2 (5 hour)
Member 12 $ 60.00 Pay Now
Non Members 14 $ 70.00 Pay Now
Enrolled Students 9 $ 45.00 Pay Now

 

Data Ingestion & Workflow Management (5 HOURS- Live instructor classes)

  • Import and export data from traditional databases using Sqoop.
  • Import streaming data using Apache® Flume.
  • Workflow management for Hadoop using OOZIE.

With Big Data and Apache Hadoop coming to the fore of the tech industry, data ingestion and the subsequent management of the data has grown up to have increasingly lucrative pay packages in companies.

The Apache Oozie tutorial deals with the Java Web Application called Oozie, which is used in the scheduling of Hadoop jobs. Oozie helps in the assimilation of data, while Sqoop is used for the transfer of data between Hadoop databases and other relational ones. Apache flume use cases include collection and movement of large amounts of data into the Hadoop system, with reliability and various simple functionalities.

After the course, you will learn how to:

  • Import and export data from traditional databases using Sqoop
  • Import streaming data using Apache Flume
  • Manage workflow for Hadoop, with oozie workflow example

Database management has high scope in the near future, especially with the advent of Big Data Analytics. So study this course and get a head start over your competition!

Pay as you Go!! Great offer for someone like you who wants only the above unit to learn!

Rate/hour($) Unit 2 (5 hour)
Member 12 $ 60.00 Pay Now
Non Members 14 $ 70.00 Pay Now
Enrolled Students 9 $ 45.00 Pay Now

 

Big Data Processing using Hadoop components (12.5 HOURS- Live instructor classes)

  • Learn various MapReduce phases
  • Data processing methods for various file formats.
  • Pig & Hive
  • HBase NoSQL database

When learning about Bigdata and Hadoop in particular, it is very important that you also learn what is at the heart of the software, which means that understanding MapReduce should be a priority. Learning how MapReduce works in Hadoop will help you understand the architecture of Hadoop and will give you a head start in learning and using the different components of Hadoop ecosystem.

Hadoop MapReduce is what allows for massive scalability across hundreds, if not thousands of servers, that are part of the Hadoop cluster. As you probably know by now, Hadoop is open source software managed by Apache and is used to compute large amounts of data coming in from multiple computing nodes. A good Hadoop course and MapReduce tutorial will make you familiar with MapReduce architecture in order to be able to use the software tailor made to you and your company’s requirement.

Another key element that you will come across in your studies of Hadoop is HBase. Hadoop HBase runs on top of Hadoop. Any basic HBase introduction will tell you that it is a database management system. The course should also teach you the difference between Pig and Hive as well as work with a real-time MapReduce example in order to fully comprehend the abilities of the software. Sign up for a course at ISMARTLEARN and get an insight into this useful technology.

Pay as you Go!! Great offer for someone like you who wants only the above unit to learn!

Rate/hour($) Unit 2 (5 hour)
Member 12 $ 150.00 Pay Now
Non Members 14 $ 175.00 Pay Now
Enrolled Students 9 $ 112.50 Pay Now

 

Real-time analytics with Kafka (20 HOURS- Live instructor classes)

  • Kafka components & use cases
  • Producers and consumers
  • Kafka Streams, Features, Concepts, Architecture.

Apache Kafka is open source software written in Java and Scala and is a distributed streaming platform. This software is used to build real-time data pipelines and streaming apps. One of the most common misunderstandings that anyone learning this software has is that Kafka and Spark can be used interchangeably.

However, there is a key difference between Kafka streaming and Spark streaming. Kafka streaming writes back data to Kafka, true real-time streaming, which is ideal for scalability and high availability. Spark streaming, on the other hand, uses mini batching for streaming data and is used to support MapReduce on top of Hadoop.

An interesting feature with Kafka is to visualize Kafka streams. The software is now being developed in order to visualize and interact with data streams in motion. Before, this was restricted only to data at rest. One of the popular Kafka visualization open source software is Alooma Live.

Pay as you Go!! Great offer for someone like you who wants only the above unit to learn!

Rate/hour($) Unit 2 (5 hour)
Member 12 $ 240.00 Pay Now
Non Members 14 $ 280.00 Pay Now
Enrolled Students 9 $ 180.00 Pay Now

 

Big Data Analytics with Spark (15 HOURS- Live instructor classes)

  • Get introduced to Apache Spark and get your Spark cluster running.
  • Spark DataFrames and RDD.
  • Analyze and process real world data sets with Spark SQL and Spark Streaming.
  • Regression, Clustering & Classification algorithms using Spark MLLib.

Apache Kafka is open source software written in Java and Scala and is a distributed streaming platform. This software is used to build real-time data pipelines and streaming apps. One of the most common misunderstandings that anyone learning this software has is that Kafka and Spark can be used interchangeably.

However, there is a key difference between Kafka streaming and Spark streaming. Kafka streaming writes back data to Kafka, true real-time streaming, which is ideal for scalability and high availability. Spark streaming, on the other hand, uses mini batching for streaming data and is used to support MapReduce on top of Hadoop.

An interesting feature with Kafka is to visualize Kafka streams. The software is now being developed in order to visualize and interact with data streams in motion. Before, this was restricted only to data at rest. One of the popular Kafka visualization open source software is Alooma Live.

Pay as you Go!! Great offer for someone like you who wants only the above unit to learn!

Rate/hour($) Unit 2 (5 hour)
Member 12 $ 180.00 Pay Now
Non Members 14 $ 210.00 Pay Now
Enrolled Students 9 $ 135.00 Pay Now

 

Projects (7.5 HOURS- Live instructor classes)

5 running use case present in entire course, dummy data and problem statement to get familiar with problem statements.2-3 capstone projects at end of course. Students need to create end-to-end data pipeline, consist of collecting data, validating data, enriching data, and analysis of data.

Pay as you Go!! Great offer for someone like you who wants only the above unit to learn!

Rate/hour($) Unit 2 (5 hour)
Member 12 $ 90.00 Pay Now
Non Members 14 $ 105.00 Pay Now
Enrolled Students 9 $ 67.50 Pay Now

 

 

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