Developers and architects who want to use big data to create potent real-time data processing apps should enrol in this 35-hour course. Discover the fundamentals of real-time streaming, how to develop applications that uses the Storm API, and design strategies for more complex workflows. Here you can learn about the Apache ecosystem projects Hbase, Solr, Kafka, banana, Elastic Search, Kibana, and storm as you delve into advanced techniques for debugging and improving Kafka and storm programs. 

For people and IT professionals looking to advance their skill sets, Inceptez offers high-end specialized courses. It also provides technical courses for corporate organizations on cutting-edge technologies like Big Data Hadoop, Real-time Streaming Visualization, Hadoop Administration, and Data Science and Analytics.

Big Data business applications like Hadoop Development, Administration, Bigdata Analytics, and Data Science are the fastest-growing trend-setting technologies that give a competitive advantage in the constantly evolving IT industry. They are the technology enablers dedicated to providing aspiring professionals with in-depth training in cutting-edge. Their training facilities offer a welcoming, ready-to-learn environment where you can engage with peers, receive relevant instruction, and develop the skills that will help you in the real world. Enter an Inceptez classroom for the best in-person training available.

Placement Facilities

Available

Payment Option

Cash, Installment, Online Payment

Education level

Beginner, Intermediate, Professional

Eligibility

Anyone

Education Subject

IT

Education Type

Online Training, Classroom

Study Material

Yes - Provided by Institute

Hostel Facilities

Not Available

Do You Accept International Students?

Yes

Placement Facilities

Available

Course Name

Big data

Course Description

An extensive, comprehensive, use case and hands on oriented, Advanced topic covered course designed with distributed, In-memory, interactive, realtime and stream processing using end to end Data Engineering, Data analytics, Data science, Visualization and Dashboard powered by Hadoop, Spark, Cloud and DevOps tools

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