Big Data Engineer Master’s, Big Data, Hadoop, PySpark, Aws Big Data

Fortray Global Services LTD

IBM is the second-largest predictive analytics and Machine Learning solutions provider globally (The Forrester Wave report, September 2018). A joint partnership with Fortray and IBM introduces students 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 the US Inventors Hall of Fame.

What can I expect from this Fortray Big Data Engineer Master's Program developed in collaboration with IBM?

Upon completion of this Big Data Engineer Master's Program, you will receive certificates from IBM(for IBM courses) and Fortray for the courses in the learning path. These certificates will testify to your skills as an expert in Big Data Engineering. You will also receive the following:

Access to IBM Cloud Lite Account
Industry-recognized Big Data Engineer Master's Certificate from Fortray
What are the learning objectives?
Big Data has a major impact on businesses worldwide, with applications in a wide range of industries such as healthcare, insurance, transport, logistics, and customer service. A role in this Big Data Engineering places you on the path to an exciting, evolving career that is predicted to grow sharply into 2025 and beyond.

This co-developed Fortray and IBM Big Data Engineer certification training is designed to give you in-depth knowledge of the flexible and versatile frameworks on the Hadoop ecosystem and big data engineering tools like Data Model Creation, Database Interfaces, Advanced Architecture, Spark, Scala, RDD, SparkSQL, Spark Streaming, Spark ML, GraphX, Sqoop, Flume, Pig, Hive, Impala, and Kafka Architecture. This program will also teach you to model data, perform ingestion, replicate data, and shard data using a NoSQL database management system, MongoDB.

The Big Data Engineer course curriculum will give you hands-on experience connecting Kafka to Spark and working with Kafka Connect.

Why become a Big Data Engineer?
Big Data Engineers create and maintain analytics infrastructure and are responsible for the development, deployment, maintenance, and monitoring of architecture components, such as databases and large-scale processing systems. The global Big Data Engineering services market is expected to grow at a CAGR of 31.3 percent by 2025, so this is the perfect time to pursue a career in this field.

The valuable skills you’ll acquire with this online training in Big Data courses will help you secure employment with companies as diverse as IBM, Coca-Cola, Ford Motors, Amazon, HCL, and Uber. Big Data Engineers are employable across a variety of industries such as transportation, healthcare, telecommunications, finance, manufacturing, and many more. According to Glassdoor, the average annual salary for a Big Data Engineer is $137,776, with more than 130K jobs in this field worldwide.

What skills will you learn in this Big Data Engineer course?
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 course, 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

What are the prerequisites for this Big Data Engineer course?
The Big Data Engineer certification course is ideal for anyone who wishes to pursue a career in Big Data Engineering. 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

What are the job opportunities upon completing this Big Data Engineer certification course?
Upon completion of the Big Data Engineer certification course in collaboration with IBM, you will have the skills required to help you land your dream job, including:

Data Engineer/Big Data Engineer
Big Data Lead
Data Architect
Technical Program Manager
Big Data/Hadoop Developer
Product Engineer

There are currently no Q&As for this course. Be the first to ask a question.