
Explore how big data problems are addressed with Hadoop, using easy-to-understand examples. Learn the distinction between data science and data engineering and demystify vendors like Hortonworks.
Explore the future of data, where software intelligence and big data enable personalized services, automated decision making, and a digital nervous system transforming business and society.
Hadoop enables big data processing with a distributed file system and MapReduce, using blocks and replication across a cluster on commodity hardware with open source, and schema on read.
Explore the Hadoop ecosystem and how Hive, Pig, Sqoop, and Flume integrate to store and process big data on the Hadoop framework, with Cloudera and Hortonworks packaging compatible open-source components.
Explore how big data and Hadoop enable scalable processing, comparing simple large data algorithms to complex small data ones, and clarify the scientist vs engineer roles in building Hadoop solutions.
Are you interested in the world of Big data technologies, but find it a little cryptic and see the whole thing as a big puzzle.
Are you looking to understand how Big Data impact large and small business and people like you and me?
Do you feel many people talk about Big Data and Hadoop, and even do not know the basics like history of Hadoop, major players and vendors of Hadoop. Then this is the course just for you!
This course builds a essential fundamental understanding of Big Data problems and Hadoop as a solution. This course takes you through:
Unlock the world of Big Data!!!
Best part is that this course is Free of cost!!! (Best things is life are free :))