It is speculated that in the next 3-4 years, all the major Big Data and AI projects would be processed on Hadoop, resulting in a major demand for top talent in the science who are trained in Hadoop. In 2020, it would be more sensible to have a Hadoop certification in your biodata to give you an edge over other applicants competing in the coveted job market.
What is Hadoop?
If you review the current market for data processing and data storage infrastructure, Hadoop is most likely to feature among the top three platforms. An open source software framework for managing and storing Big Data, Hadoop is recognized as a distributed computing model that copies and scales all data automatically.
Hadoop took off in 1999 when the Search Engine and IT were only growing in prominence. By 2010, Hadoop had entered into the mainstream cloud computing and programming models as companies like Yahoo, Cloudera and SAS began to extensively deploy this for storing and processing data in a distributed, automated way to make search better.
Today, major data companies and aggregators would like an “ugly duckling” in the sea of swans if they don’t have a Hadoop expertise in their business. It’s not just about the extent to which Hadoop can be acquainted with but enabling and using the technology across all levels of organization to make teams work in a self-service data analytics ecosystem.
What are the prime objectives of Hadoop training?
Hadoop benefits everyone – the certified analyst as well as the employer hiring the candidate. Clearly outlining the benefits of Hadoop certification and training, these are the basic concepts a candidate would be expected to master –
- Hadoop Distributed File System (HDFS) and MapReduce
- Big Data Analytics and Storage
- Sandbox for Data Discovery
- Data Lakes and Data warehousing
- Data loading leveraging Sqoop and Flume
- Hadoop Common modules and libraries
- YARN and Java-based software programming
There are many Software integrations that gel well with Hadoop training. At top level Apache Hadoop integration, project leaders are expected to be aware of these software components –
- Cassandra
- Ambari
- Hive
- HBase
- HCatalog
- Solr
- Spark
- Phoenix
- ZooKeeper
- Oozie
Areas where Hadoop training is used
Hadoop is at the center of a growing expertise expected around the rise of Big Data, AI, Machine Learning, Predictive Analytics, Data Mining and IoT applications. In today’s parlance, Hadoop can be used to handle structured and unstructured data modeled to benefit these industries –
- Social Media Intelligence, monitoring and listening
- Customer Data
- Sensor Data from Internet of Things, Voice bots and Connected cars
- Beacon and Mobile data
- Cyber security and Predictive Maintenance for IT and manufacturing equipment on automation
- Robotics, Process Automation and Cloud Computing
Certification programs for Hadoop Training in Bangalore offer simulated access to full data sets that can be prepared and analyzed by analytics or IT team to support other applicants.
