• mentor 3 +hrs. Self-Paced
  • session 50 +hrs. Assignments Hrs

Syllabus

TOOLS YOU WILL LEARN
  • Hadoop
  • Hive
  • Spark
  • MapReduce
  • 4 weeks Total Duration
  • 10-15 hrs/week Effort

Syllabus

4 weeks
Total Duration
0 (All inclusive)
Course Price
TOOLS YOU WILL LEARN
Hadoop
Hive
Spark
MapReduce
  • What Is Big Data
  • Big Data Problems
  • Opportunities
  • Why Data Is Important
  • Past and Historical Data to Make Decisions
  • Real time Examples: E-commerce
  • Big Bank: Big Challenge
  • Customer Churn Analysis
  • Transaction Analysis
  • 5 V's of Big Data
  • Exploding Data Problem
  • Possible Solutions – Scale Up and Scale out
  • Solution for Storing and Processing Big Data – Hadoop
  • Hadoop Introduction
  • Big Data Challenges - Revision Motivation Behind Using HDFS Challenges
  • Cost Effective
  • Fault Tolerant
  • Differences Between Normal File System and HDFS
  • Why Hadoop Cluster
  • HDFS Architecture
  • Design Of HDFS
  • Q and A – Section
  • Building Principles
  • MapReduce Introduction
  • Finding Maximum Temperature Example
  • Pseudo Code
  • MapReduce Program Execution
  • Introduction
  • Hive DDL
  • Example - GeoLocation
  • Hive Example: Code Explanation and Execution
  • Introduction
  • Advantages
  • Adages/Philosophy of Pig
  • Use Cases
  • Why Pig?
  • Example - GeoLocation
  • Pig Execution Modes: Local and HDFS Mode
  • Pig Example: Code Explanation and Execution
  • Introduction
  • MapReduce vs Spark
  • Spark Installation
  • Spark RDD (RDD in Spark) the Most Active Open Source Project in Big Data
  • Resilient Distributed Datasets
  • Spark RDD - Examples
  • Creating a Spark RDD
  • Spark RDD Driver and Workers
  • Spark Code: Example Explanation and Execution
  • Challenges with traditional RDBMS
  • Features of NoSQL
  • Types of NoSQL
  • Question and Answers
  • Working of NoSQL: CAP
  • What is HBase
  • Components
  • Architecture
  • Coordination Between Client and Hbase
  • Metatable
  • Regionserver
  • Writing to HBase
  • Firing up HBase
  • Basic Apache HBase Shell Commands
  • Explanation to Command Structure
  • Put and Get
  • Create and Delete
  • Maintaining Version
  • What is Sqoop?
  • Apache Sqoop Architecture
  • Import: HandsOn
  • Connection With Mysql
  • Export: HandsOn
  • Introduction to Agent
  • Setting Up Flume
  • Example
  • Architecture
  • Explanation to Configuration File
  • Transactions Inside Agent
  • Execution of Agent
  • Why is Log Data Important
  • Challenges with Analysis
  • Architecture
  • HandsOn
  • Kafka Vs Traditional System
  • Kafka Vs Log Aggregators
  • Topics and Partitions
  • Consumer Group
Still not sure what you will learn?
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Invest Now in a Big Data Career

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.

AcadGild’s Big Data Essentials Training covers Hadoop, MapReduce, Spark RDD (RDD in Spark), Kafka, Apache Pig, Hive, and more. It will prepare you with the skills and knowledge to get the best roles in the industry. The big data Hadoop projects will not only give you hands-on experience about the various application of Big data, it also makes you job ready as you learn to tackle real world problems. This course is prepared seeking inputs from the best in the industry and covers comprehensive knowledge that can help with in-depth learning through live big data Hadoop projects and case studies. The big data and Hadoop certification will equip individuals with the skills to manage big data for large companies and industries.

Huge Investment in Big Data

The spending on big data technology is expected to be reach $ 210 billion by 2020.

Wide Use of Big Data

Around 85% of companies are using data to make business and organizational decisions.

Data-Driven World

By 2020, every human being will create around 1.7 MB of data per second.

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Why Our Courses Rank Amongst the Best

Loved by Users

  • 4.4/5 (200+ REVIEWS)
  • 4.3/5 (150+ REVIEWS)
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The Acadgild Experience

  • Live sessions Expert Mentors conduct live sessions throughout the course Master technology through intensive online sessions
  • 24x7 Support 24x7 Coding Support Our support team will be there for you around-the-clock to help you with doubts.
  • Job Assistance 100% Job Placement Assistance Our team will guide you to your dream job

FAQs

The free Spark RDD & Big Data Essentials Training program is for anyone interested in big data. It is ideal for aspiring big data engineers/developers. Our students are generally analysts, developers, managers, information architects, researchers, and other working professionals looking to advance in the field of business or big data.

The Big Data Essentials Training program is for anyone interested in big data. It is ideal for aspiring big data engineers/developers. Our students are generally analysts, developers, managers, information architects, researchers, and other working professionals looking to advance in the field of business or big data.

Basic knowledge of databases, Java and SQL would be useful during the free Spark RDD & Big Data Essentials Training.

• Microsoft® Windows® 7/8/10 (32- or 64-bit).
• 4GB RAM minimum, 8 GB RAM (recommended).
• Intel Core i3 or higher processor.
• Internet speed: Minimum 1 Mb/s.
• Intel® VT-x (Virtualization Technology) enabled.

The free Spark RDD & Big Data Essentials Training program is built to bestow a comprehensive idea about Big Data frameworks. It uses Hadoop and Spark, as well as HDFS and MapReduce. In our Big Data Essentials HDFS MapReduce and Spark RDD (RDD in Spark) training program, you will study the use of Pig and Hive for processing and scrutinize large datasets stored in the HDFS. Also, as a part of the big data course, you must execute realistic, industry-based project work.

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 gain from the big data training will unfold new career options and transitions to more challenging roles.
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. We at Acadgild deliver both offline and online big data training to can reach to students from any corner of the world. Enroll Now for the course Big Data Essentials HDFS MapReduce and Spark RDD Training.

The Big Data Hadoop and apache spark certification course is built to bestow a comprehensive idea about Big Data frameworks. It uses Hadoop and Spark, as well as HDFS, YARN, and MapReduce. In our Big Data Hadoop and apache spark certification program, you will study the usage of Pig, Hive, and Impala for processing and scrutinize large datasets stored in the HDFS. Also, as a part of the big data course, you must execute realistic, industry-based project work.

The digital age is evolving at a rapid pace. Therefore, it is essential to keep up to date about the latest developments in data sciences. Data analysts and programmers who have completed Big Data Essentials Training are sought after by premier organizations. Big data is both the present and the future. The big data and Hadoop training is considered to be at the forefront of the evolution of the field. It would not be a stretch to say that a big data career for freshers would be lucrative.

Yahoo! - the biggest contributor to the creation of Hadoop – uses Hadoop, Facebook – Developed Hive for analysis, Amazon, Netflix, Adobe, eBay, Spotify, Twitter, Adobe and many more.

Data scientists work with data according to business needs. They are responsible for data analysis. Big data developers design and implement programs that make the analysis possible.

Big Data Engineering includes all processes that aim to increase the accessibility of data from various sources and optimize it for analysis. Big Data Engineers use tools like Hadoop, MapReduce, NoSQL and MySQL for their tasks.
Big Data Analytics, on the other hand, focuses primarily on the process of data analysis. It involves creating reports that include graphs and infographics to effectively communicate insights from data. Data Analysts use programs like SQL, Hive, Pig, Matlab, R, Excel, etc.

Big Data Developers earn Rs 5,50,000 on average according to Glassdoor. Experienced Big Data Developers make as much as Rs 17,00,000 - 20,00,000.

Acadgild is a leading tech education website that provides expertise in big data education. Students of Acadgild also are offered round the clock services and support including lifetime access to course material as well as internationally recognized certification. They receive around 25 hours of expert training from industry mentors and over 50 hours of cases and projects from the industry to help ensure what is learnt can be applied. In addition to these services, Acadgild also ensures that the quality and efficiency of videos are world class. With this, we have ensured that all students are given the best big data essentials training material, support and instructions possible. Acadgild's big data essentials training is also designed to get the best out of those attending the classes.

Acadgild offers a comprehensive and in-depth understanding of the various aspects of Big Data through its Big Data Essentials HDFS MapReduce and Spark RDD (RDD in Spark) training self-paced program. Anyone looking forward to work in the Big Data realm will need a host of skills. Acadgild is an institute that hosts both classroom big data training as well as big data training online, with skilled trainers with years of professional experience. We also understand that big data training online should be imparted through hands-on projects and cases studies on big data. Thus, making the students of big data training truly proficient with necessary skills.

You can pay the Big Data Essentials Training fees after registering for the course. We accept most credit and debit cards. You can also pay via net banking. Our payment portal has an EMI option if you wish to pay in installments.

Our ‘Refer and Earn’ program gives you a discount on the course fees when your references join us. You may refer students by writing to us at [email protected] The details of the Refer and Earn policy can be found at https://acadgild.com/refer-and-earn.

You can write to us at [email protected] with your contact details. Our representatives generally respond to requests within 24 hours.

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