Bigdata is one of the most trending technology, and all job seekers looking for the best big data training course to get a placement. If you are looking for the same, SreyobhilashiIT is one of the best bigdata training institute in Hyderabad, providing the best coaching as per industry standards. Our big data trainer is highly experienced in all bigdata technologies such as Hadoop, Hive, Sqoop, Oozie, NoSQL databases like Cassandra, Hbase and MongoDB, Apache Spark, Kafka, Airflow, Nifi, and other big data technologies. 100% everything is hands-on.
To get placement, along with bigdata technologies, explaining AWS services as well such as EC2, EMR, Glue, lambda, RDS, IAM, S3, and other AWS Services like Cloud watch.

This bigdata training is best suitable for non-technical job seekers, who looking for placement after training. If you don’t know SQL & Python, offline training is highly recommended to get a job after training. Students must stay in the institute from 10 AM-5 PM IST. If you have SQL & Python Knowledge and don’t prefer placement, big data online training is recommended. If you practice well, 100% you’ll get a job, but to stable your job position, you must have practical experience. That’s y daily multiple tasks, different assignment helps to stable that position after getting a job.
Additionally, Databricks certification, resume preparation, and mock tests help to get a bigdata job quickly.

Course Duration: 90 Days max

Syllabus:
Programming languages
Scala: It’s next generation to Java. Highly recommended to understand spark framework.
Python: Most of the projects using Pyspark , So python knowledge must to implement realtime projects. 45 hours of python very useful helpful to clear interview and helps to get a job
Sql basics: Spark SQL highly recommended to understand dataframe api. So basic sql explaining in this big data course.

Haoop ecosystem:

Hadoop: As of now only for storage purposes only using Hadoop-HDFS, no need to learn MapReduce. If u get a job, mostly ur working on Spark code only, but minimum Hadoop knowledge is highly recommended.
Hive: 90% Hadoop related projects must use Hive, it optimizes performance and allows running SQL queries. SQL skills, are mandatory to learn Hive.
Sqoop: Most of the ETL projects use Hive and Sqoop. These two are almost like twins. It’s used to import/export data from RDBMS to HDFS, but processing Hive takes care of it.
Oozie: Scheduling, automation purpose XML based configured Oozie most of the companies using. Hive, Sqoop, and spark jobs u can automate easily.

Nosql databases:
Before spark came into the picture, these NoSQL databases were very powerful to process and storing purposes, but still, NoSQL databases are used for storage purposes and to get the best results,

Cassandra: Combination of Kafka, spark Cassandra is very powerful, and most of companies using in the bigdata projects. It’s SQL-friendly, but the problem is that joins concept is not available, it revolves always around the primary key.
Hbase-Phoenix: Hbase evergreen, it’s optimized storage and processing, but the problem is it’s not SQL-friendly. Hbase uses Phoenix, Which allows SQL queries on top of Hbase. How hive and Sqoop are twins, similarly Hbase, phoenix best combination.

Mongodb

Spark ecosystem:
Spark core
Spark sql
Spark streaming
Structure streaming
Kafka

Other bigdata technologies:
Flink
Nifi,
Airflow
Snowflake

AWS services:
Ec2
Emr
Glue
Athena
Lambda
Reshift
Cloudwatch
RDS