(All Course Fees are in USD)

Course Description

This Big Data Engineer Master’s Certification programme in collaboration with IBM provides online training on the best big data courses to impart skills required for a successful career in data engineering. Master the Big Data & Hadoop frameworks, leverage the functionality of AWS services, and use the database management tool MongoDB to store data.

Developed / Co-Developed by

IBM & Simplilearn

IBM is the second-largest predictive analytics and Machine Learning solutions provider globally (The Forrester Wave report, September 2018). A joint partnership with Simplilearn and IBM introduces course participants to integrated blended learning, making them experts in Big Data Engineering. This Big Data Engineer certification course developed in collaboration with IBM will make students industry ready to start their career as Big Data Engineer.

IBM is a leading cognitive solution and cloud platform company, headquartered in Armonk, New York, offering a plethora of technology and consulting services. Each year, IBM invests $6 billion in research and development and has achieved five Nobel prizes, nine US National Medals of Technology, five US National Medals of Science, six Turing Awards, and 10 Inductions in US Inventors Hall of Fame.

Offered in Partnership with

Simplilearn

Course Delivery

• Online self-paced learning (35 hours)
• Virtual classroom training (132 hours)

Total: 167 hours of online blended learning

Benefits

• 30+ in-demand skills
• 167 hours of online blended learning (32 hours online instructor-led training + 132 virtual classes)
• Real-life projects providing hands-on industry training

Skills to be Learned

The Big Data Engineer learning path ensures that you master the various components of the Hadoop ecosystem, such as MapReduce, Pig, Hive, Impala, HBase, and Sqoop, and learn real-time processing in Spark and Spark SQL. By the end of this Big  Data Engineer certification courses, you will:

• Gain insights on how to improve business productivity by processing Big Data on platforms that can handle its volume, velocity, variety, and veracity
• Master the various components of the Hadoop ecosystem, such as Hadoop, Yarn, MapReduce, Pig, Hive, Impala, HBase, ZooKeeper, Oozie, Sqoop and Flume
• Become an expert in MongoDB by gaining an in-depth knowledge of NoSQL and mastering the skills of data modeling, ingestion, query, sharding, and data replication
• Learn how Kafka is used in the real world, including its architecture and components, get hands-on experience connecting Kafka to Spark, and work with Kafka Connect
• Get a solid understanding of the fundamentals of the Scala language, it’s tooling and the development process
• Identify AWS concepts, terminologies, benefits and deployment options to meet the business requirements
• Understand how to use Amazon EMR  for processing the data using Hadoop ecosystem tools
• Understand  how to use Amazon Kinesis for big data processing in real-time
• Analyze and transform big data using Kinesis Streams
• Visualize data and perform queries using Amazon QuickSight

Award upon Successful Completion

Upon completion of this Master Certification Programme, you will receive certificate with logo of IBM and Simplilearn (as shown below). The certificate will testify to your skills as an expert in data engineering.

Awarding Organisations

IBM / Simplilearn

Learning Outcomes

• Gain an in-depth understanding of the flexible and versatile frameworks on the Hadoop ecosystem, such as Pig, Hive, Impala, HBase, Sqoop, Flume, and Yarn
• Master tools and skills such as data model creation, database interfaces, advanced architecture, Spark, Sala, RDD, SparkSQL, Spark Streaming, Spark ML, GraphX, Sqoop, Flume, Pig, Hive, Impala, and Kafka architecture
• Understand how to model data, perform ingestion, replicate data, and shard data using the NoSQL database management system MongoDB
• Gain expertise in creating and maintaining analytics infrastructure and own the development, deployment, maintenance, and monitoring of architecture components
• Achieve insights on how to improve business productivity by processing big data on platforms that can handle its volume, velocity, variety, and veracity
• Learn how Kafka is used in the real world, including its architecture and components, get hands-on experience connecting Kafka to Spark, and work with Kafka Connect
• Understand how to use Amazon EMR for processing data using Hadoop ecosystem tools
• Become proficient with the fundamentals of the Scala language, its tooling, and the development process

Assessments

This Big Data Engineer certification training includes more than 12 real-life, industry-based projects on different domains to help you master concepts of Data Engineering, such as Clusters, Scalability, and Configuration. A few of the projects that you will be working on are mentioned below:

• Project 1: See how large MNCs like Microsoft, Nestle, and PepsiCo set up their Big data clusters by gaining hands-on experience.
  Project Title: Scalability-Deploying Multiple Clusters

• Project 2: Understand how companies like Facebook, Amazon, and Flipkart leverage Big Data Clusters.
  Project Title: Working with Clusters

– Enabling and disabling HA for namenode and resource manager in CDH

– Removing Hue service from your cluster, which has other services such as Hive,

– HBase, HDFS, and YARN setup

– Adding a user and granting read access to your Cloudera cluster

– Changing replication and block size of your cluster

Adding Hue as a service, logging in as user HUE, and downloading examples for Hive, Pig, job designer, and others

• Project 3: See how banks like Citigroup, Bank of America, ICICI, and HDFC make use of Big Data to stay ahead of the competition.
  Domain: Banking

• Project 4: Learn how Telecom giants like AT&T, Vodafone, and Airtel make use of Big Data by working on a real-life project based on telecommunication.
  Domain: Telecommunication

• Project 5: Understand how entertainment companies like Netflix, Amazon Prime leverage Big Data.
  Domain: Movie Industry
  

• Project 6: Learn how E-Learning companies like Simplilearn, Lynda, and Pluralsight make use of NoSQL and Big Data technology.
  Domain: E-Learning Industry

Who Should Enrol

• IT professionals
• Banking and finance professionals
• Database administrators
• Beginners in the data engineering domain

Prerequisites

There are no prerequisites to take this course, but prior knowledge of the listed skills and technologies are beneficial, including:

• Algorithms and data structures
• SQL
• Programming knowledge of Python and Java
• Cloud platforms and distributed systems
• Data pipelines

Course Overview

Course 1 – Big Data for Data Engineering

Course 2 – Big Data Hadoop and Spark Developer

Course 3 – PySpark Training Course

Course 4 – Apache Kafka

Course 5 -MongoDB Developer and Administrator

Course 6 -AWS Big Data Certification Training

Course 7 – Big Data Capstone

Electives

• Spark for Scala Analytics

Through this course you will get an overview of the history of Apache Spark, how it evolved, how to build applications with Spark, RDDs and Data frames, the Spark ecosystem, and its associated ecosystems. You will learn how to leverage the core RDD and DataFrame APIs to perform analytics on datasets with Scala.

• Scala for Data Science

This course will let you flex your Scala skills for data preparation, feature engineering, creating data pipelines, and solving big data analytics problems. You
will learn how to leverage the integration of Apache Spark and Scala and how to use Spark’s machine learning pipelines to fit models and search for optimal
hyperparameters using Scala in a Spark cluster.

• Python for Data Science

Kickstart your learning of Python for Data Science with this introductory course and familiarize yourself with programming. Carefully crafted by IBM, upon completion of this course you will be able to write your Python scripts, perform fundamental hands-on data analysis using the Jupyterbased lab environment, and create your own Data Science projects using IBM Watson.

• AWS Technical Essentials

This AWS Technical Essentials course teaches you how to navigate the AWS management console; understand AWS security measures, storage, and database options; and gain expertise in web services like RDS and EBS.

This course, prepared in line with the latest AWS syllabus, will help you become proficient in identifying and efficiently using AWS services.

• Java Certification Training

This advanced Java Certification Training is designed to guide you through the concepts of Java from introductory techniques to advanced programming skills. This Java course will also provide you with the knowledge of Core Java 8, operators, arrays, loops, methods, and constructors while giving you hands-on experience in JDBC and JUnit framework.

• Industry Master Class -Data Engineering

Attend an online interactive Masterclass and get insights into the world of data engineering.

Programme Advisor

Ronald van Loon

Top 10 Big Data and Data Science Influencer, Director – Adversitement

Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.

Access Period of Course

1 Year from date of enrolment

Customer Reviews

Md Azhar Hussain

This platform has enhanced my knowledge of big data and provided me the  opportunity to work with experienced industry professionals. I appreciate the tutor’s in-depth knowledge and, the help and support provided by Simplilearn. After the certification, I was able to grab a role change.

Ravikant Mane

Ameet, I appreciate your patience and efforts in explaining topics multiple times. You always ensure that each participant in your class understands the concepts, no matter how many times you need to explain them. You also shared great real-life examples. Thank you for your efforts.

Ajinkya Gavi

I joined Simplilearn to explore more about the upcoming Technology. Just 1 month of course along with sufficient practice landed me a job in a Top IT MNC. I never thought an experienced person can start as fresher in Big Data, but Simplilearn made it happen. Thank you Simplilearn.