Big Data is one of the fastest growing fields in the world and organizations in all kinds of industries are seeking qualified Big Data architects and analysts to make sense of absurd amounts of information. In this comprehensive bundle, you’ll get four complete courses to give you a versatile understanding of Big Data, including tools like Hadoop, Apache Spark, Scala, MongoDB, and more. With certifications of completion across the board, you’ll be able to demonstrate your expertise to potential employers.
- Access 4 complete courses & 76 hours of content 24/7
- Master the concepts of the Hadoop framework
- Learn the components of the Hadoop ecosystem like Yarn, MapReduce, HDFS, Pig, Impala, & more
- Explore essential skills of the Apache Spark open source framework & the Scala programming language
- Develop vital skill sets & a competitive advantage
- Gain an in-depth knowledge of NoSQL & master skills of data modeling, ingestion, query, sharding, and data replication
- Work w/ adaptable, versatile frameworks based on the Apache Hadoop ecosystem
- Big Data Hadoop Certification Training
- Apache Spark & Scala
- Big Data Hadoop Administrator Certification Training
You are allowed to use this product only within the laws of your country/region. SharewareOnSale and its staff are not responsible for any illegal activity. We did not develop this product; if you have an issue with this product, contact the developer. This product is offered "as is" without express or implied or any other type of warranty. The description of this product on this page is not a recommendation, endorsement, or review; it is a marketing description, written by the developer. The quality and performance of this product is without guarantee. Download or use at your own risk. If you don't feel comfortable with this product, then don't download it.
Reviews for The Certified Big Data Mastery Bundle
There are no reviews yet.
Submit Your Review
This is for reviews only. If you want to post suggestions or comments, ask questions, or need help, please post in the discussion forum.