Big Data Analytics – (Advanced)
Description
Course Objective
Big Data is one of the most expediting and promising fields, considering the technologies available in the market today. To make the most of these opportunities, you need structured training with the latest curriculum as per current industry requirements and best practices.
Besides a strong theoretical understanding, you need to work on various real-world big data projects using different Big Data and Hadoop tools as a solution strategy. This Big Data Analytics course is curated to cover in-depth knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, and Pig.
This course will help you gain a comprehensive understanding of various tools that fall in the Hadoop Ecosystem, like Pig, Hive, Sqoop, Flume, Oozie, and HBase.
Course Eligibility
There are no such prerequisites for Big Data & Hadoop Course. However, prior knowledge of Core Java and SQL will be helpful but is not mandatory.
Package Requisites
CloudLab environment that a browser could access.
Course Modules
Module 1: Understanding Big Data and Hadoop Learning Objectives
This module will understand
- What is Big Data
- The limitations of the traditional solutions for Big Data problems
- How Hadoop solves those Big Data problems
- Hadoop Ecosystem
- Hadoop Architecture
- HDFS
- Anatomy of File Read
- And Write & how Map Reduce works.
Module 2: Hadoop Architecture and HDFS
In this module, you will learn
- Hadoop Cluster Architecture
- Important configuration files of Hadoop Cluster
- Data Loading Techniques using Sqoop & Flume
- And how to set up Single Node and Multi-Node Hadoop Cluster.
Module 3: Hadoop MapReduce Framework
In this module, you will understand the
- Hadoop MapReduce framework comprehensively
- The working of MapReduce on data stored in HDFS.
You will also learn the advanced MapReduce concepts like Input Splits, Combiner & Partitioner.
Module 4: Advanced Hadoop MapReduce
In this module, you will learn advanced MapReduce concepts such as
- Counters
- Distributed Cache
- MRunit, Reduce Join
- Custom Input Format
- Sequence Input
- Format XML parsing.
Module 5: Apache Pig
In this module, you will learn
- Apache Pig
- Types of use cases where we can use Pig
- Tight coupling between Pig and MapReduce
- Pig Latin scripting
- Pig running modes
- Pig UDF
- Pig Streaming & Testing
- Pig Scripts.
You will also be working on a healthcare dataset.
Module 6: Apache Hive
This module will help you understand
- Hive concepts
- Hive Data types
- Loading and Querying data in Hive
- Running Hive Scripts
- And Hive UDF.
Module 7: Advanced Apache Hive and HBase
In this module, you will understand
- Advanced Apache Hive concepts such as UDF
- Dynamic Partitioning
- Hive Indexes and Views, and optimizations in Hive.
You will also acquire in-depth knowledge of Apache HBase, HBase Architecture, HBase running modes, and its components.
Module 8: Advanced Apache HBase
This module will cover advanced Apache HBase concepts. We will see demos on HBase Bulk Loading & HBase Filters. You will also learn what Zookeeper is all about, monitor a cluster, & why HBase uses Zookeeper.
Module 9: Processing Distributed Data with Apache Spark
In this module, you will learn what Apache Spark, SparkContext & Spark Ecosystem is. You will learn how to work in Resilient Distributed Datasets (RDD) in Apache Spark. You will be running the application on Spark Cluster & comparing the performance of MapReduce and Spark.
Outcomes
- Understand MapReduce Framework
- Implement complex business solutions using MapReduce
- Learn data ingestion techniques using Sqoop and Flume
- Perform ETL operations & data analytics using Pig and Hive
- Implementing Partitioning, Bucketing, and Indexing in Hive
- Understand HBase, i.e. a NoSQL Database in Hadoop, HBase Architecture & Mechanisms
- Integrate HBase with Hive
- Schedule jobs using Oozie
- Implement best practices for Hadoop development
- Understand Apache Spark and its Ecosystem
- Learn how to work with RDD in Apache Spark
The Data Analytics course helped me gain problem-solving skills and data science tools and technologies such as R programming language, Tableau, SQL, MS Excel, Data visualization, presentation skills, and Machine learning. The live projects helped me gain the ability to think analytically and approach problems in the right way is a skill that's always useful, not just professional world, but in everyday life as well.
And Thanks to the Myra’s academy, mentorship provided by the course trainer, I am now able to give interviews with instilled confidence.
organizations can use big data analytics systems and software to make data-driven decisions that can improve business-related outcomes. the benefits may include more effective marketing, new revenue opportunities, customer personalization and improved operational efficiency. with an effective strategy, these benefits can provide competitive advantages over rivals.
Big data analytics course help me to enhance my skills . I learning to myra'sAcademy thank you myra'sAcademy for creating such a wonderful training program.
I had done the course of a Big Data Analytics advanced at Myra's academy. The class was done in a highly interactive and collaborative format with elements of lecture, classroom discussion, exercises, games, and simulations, smoothly blended throughout the class.Through the course, I gained organizational skills, soft skills, leadership and conflict facilitation skills, which helped me better deal with people and climb up ranks in the work environment. The journey with Myra was a once-in-a-time experience for me. Iam sure that you will also feel good experience in myra academy.
Big Data Analytics Advance course, you will develop your knowledge of big data analytics and enhance your programming and mathematical skill. Gain essential skills in today's digital age to store, process, and analyse data to inform business decisions. Myra’s academy, Big Data course helped me to gain a comprehensive understanding of various tools that fall in the Hadoop course, prior knowledge of core Java and SQL. And real-time experience on how various real-world big data projects is solved using different Big Data.
Thanks to Myra’s academy, the time spent on this course provide me very helpful in my carrier goal.
Big data analytics helps organizations harness their data and use it to identify new opportunities. That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers. This course helps me to know about more on data analytics in the corporate world. Learning at Myra’s Academy was a delightful experience I ever had in my life.
I can strongly say that I became a skilful person in digital marketing all because of Myra’s Academy as they are the great company to work with and we had our sessions virtually which were very helpful.
Big Data analytics is a process used to extract meaningful insights, such as hidden patterns, unknown correlations, market trends, and customer preferences. Big Data analytics provides various advantages—it can be used for better decision making, preventing fraudulent activities, among other things. Big Data is today, the hottest buzzword around, and with the amount of data being generated every minute by consumers, or/and businesses worldwide, there is huge value to be found in Big Data analytics.
I chose this particular course because to know about more on data analytics. Learning at Myra’s Academy was a wonderful experience .
I think this was a good decision to join and learn the Big Data Analytics-(Advanced) course to cope up with the increased use of technologies in the market in the current scenario of Covid time from Myra’s Academy. This course helped me to gain not just theoretical knowledge but also the real time experience on how various real-world big data projects are solved using different Big Data and Hadoop Ecosystem tools such as YARN, Pig, Hive, Flume etc.
I got to learn how to work in Resilient Distributed Datasets (RDD) in Apache Spark as well. Altogether the time spent on this course proved to be productive.
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