BIG DATA ENGINEER MASTER’S PROGRAM
BIG DATA ENGINEER MASTER’S PROGRAM
Simplilearn
Online |
courses
Investment/Corporate/Retail Banking/ Insurance
Description
About The Course:
This Big Data Engineer Master’s Program, in collaboration with IBM, provides training on the competitive skills required for a rewarding career in data engineering. You’ll learn to master the Hadoop big data framework, leverage the functionality of Apache Spark with Python, simplify data lines with Apache Kafka, and use the open-source database management tool MongoDB to store data in big data environments.
Course Key Features:
- Industry-recognized certificates from IBM and Simplilearn
- Real-life projects providing hands-on industry training
- 30+ in-demand skills
- Lifetime access to self-paced learning and class recordings
Certificate: Upon completion of this Master’s Program, you will receive certificates from IBM and Simplilearn in the Big Data Engineer courses in the learning path. Upon program completion, you will also receive an industry-recognized Master’s Certificate from Simplilearn.
Outline
Who Should Enroll?
A big data engineer builds and maintains data structures and architectures for data ingestion, processing, and deployment for large-scale, data-intensive applications. It’s a promising career for both new and experienced professionals with a passion for data, including:
- IT professionals
- Banking and finance professionals
- Database administrators
- Beginners in the data engineering domain
- Students in UG/ PG programs
Takeways
Course Takeaways:
- 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
- Achieve insights on how to improve business productivity by processing big data on platforms that can handle its volume, velocity, variety, and veracity
- 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
- 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 model data, perform ingestion, replicate data, and shard data using the NoSQL database management system MongoDB
- Understand how to use Amazon EMR for processing data using Hadoop ecosystem tools
- Gain expertise in creating and maintaining analytics infrastructure and own the development, deployment, maintenance, and monitoring of architecture components
- Become proficient with the fundamentals of the Scala language, its tooling, and the development process
