Start Date | End Date | No. of Hrs | Time (IST) | Day | |
---|---|---|---|---|---|
25 Jun 2022 | 17 Jul 2022 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
09 Jul 2022 | 31 Jul 2022 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
23 Jul 2022 | 14 Aug 2022 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
06 Aug 2022 | 28 Aug 2022 | 24 | 06:00 PM - 09:00 PM | Sat, Sun |
Multisoft Virtual Academy is offering the Big Data Analyst training, this course is for the Big Data professionals that helps them to enhance their vision on the implementation of the advanced Big Data technology effectively. This training is the combination of five data and analytics courses: Hadoop Data Analytics, Apache Spark, Apache Storm, MongoDB and Cassandra. This is the golden opportunity of the professionals looking to develop their insight on the above mentioned courses. The candidates willing to learn Big Data Analyst online will get data analytics using Pi and Hive and gain knowledge of Hadoop fundamentals that is helpful in knowing all about Hadoop architecture.
Focusing on the other Courses of data analytics, this combo course enlightens the candidates on how to process large amount of data using low latency. Moreover, it contains enlightenment on:
 While dealing with Apache Storm and MongoDB, the trainers help the candidates in understanding the fundamentals the apache storm and MongoDB and it can be implemented in analyzing any data. Understanding the MongoDB Production Architecture, the Storm Advanced Concepts, Importing and exporting of Data to and From MongoDB, etc.
Furthermore, the training provides in-depth insight on Managing Cassandra and adding nodes, operating system, the Conceptual data modeling, etc. are included in the fifth section of the training. Nevertheless, this training is a boon for the professionals willing to gain expertise on the data analytics.
1. Hadoop Data Analytics
2. Apache Spark
3. Apache Storm
4. MongoDB
5. Cassandra
After completing Big Data Analyst training the candidates would gain a recognition as having an expertise in handling Big Data issues.