Hadoop & Bigdata
What is Hadoop?
Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.
Pre-Requisites
There are no particular prerequisites to opt Hadoop course. It will be added an advantage if the clients have prior knowledge in Core Java, Unix, and SQL. We brush up all the basic concepts so that beginners can understand in an easy manner.
What will you learn in this Bigdata Hadoop training in adrimtech?
-> Acquires skills in fundamentals of Hadoop Distributed File System (HDFS) and MapReduce
-> Enhances skills in architecture of Hadoop and installation process
-> Grasps skills in various concepts such as Map Reduce, Hive, Pig, Scoop, Flume, etc
->Extends skills in writing user-defined functions (UDFs)
-> Learn Impala for doing Big Data Analytics Operations
-> Mastering the Spark components and difference between Hadoop and Spark
-> Skills in ETL tools that can connect with MapReduce, Hive, and Pig
Advantages of Hadoop
-> Cost Effective
-> Scalable
-> Flexible
-> Fast
-> Resilient to Failure
Global Demand for Hadoop Expert
Hadoop certified candidates are in high demand where you can enhance your career graph. There are many numbers of Job opportunities with Apache Hadoop where an individual can enhance their potential in this emerging field. Hadoop Experts are acquiring High pay for critical skills.