Big Data Analytics Courses
Big Data Architect Master's Course
In Collaboration with IBM
Big Data Architect Overview
Cyarnitech’s Big Data Architect master’s course will provide you with in-depth knowledge on Big Data platforms like Hadoop, Spark and NoSQL databases, along with a detailed exposure of analytics and ETL by working on tools. This program is specially designed by industry experts, and you will get 12 courses with 31 industry-based projects.
Online Instructor-led Courses:
- Big Data Hadoop and Spark
- Apache Spark and Scala
- Splunk Developer and Admin
- Python for Data Science
- Pyspark Training
- MongoDB
Self-paced Courses:
- Hadoop Testing
- Apache Storm
- Apache Kafka
- Apache Cassandra
- Java
- Linux
- Introduction to Hadoop ecosystem
- Working with HDFS and MapReduce
- Real-time analytics with Apache Spark
- ETL in Business Intelligence domain
- Working on large amounts of data with NoSQL databases
- Real-time message brokering system
- Hadoop analysis and testing
- Data Science and Big Data Professionals and Software Developers
- Business Intelligence Professionals, Information Architects and Project Managers
- Those who aspire to be a Big Data Architect
There are no prerequisites for taking up this training program.
- Global Hadoop market to reach $84.6 billion in 2 years – Allied Market Research
- The number of jobs for all US-based data professionals will increase 2.7 million per year – IBM
- A Hadoop Administrator in the US can get a salary of $123,000 – Indeed
Big Data is the fastest growing and the most promising technology that aids profiles like Big Data Engineer and Big Data Solutions Architect that are in huge demand. This Big Data Architect master’s course will help you grab the best jobs in this domain.
This Intellipaat training program has been specifically created to let you master the Hadoop architecture, along with helping you gain proficiency in Business Intelligence domain. Upon the completion of the training, you will be well-versed in extracting valuable business insights from raw data. This way, you can apply for top jobs in the Big Data ecosystem.
Address: 1722 Markham Drive,
Bethlehem, PA 18017
Working Hours:
Monday–Friday: 9:00AM–5:00PM
Saturday & Sunday: 11:00AM–3:00PM
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Phone: +1 484 821 6590