Bangalore, UB City - Classroom

UB Tower, UB City, 24, Vittal Mallya Road, Shanthala Nagar, Bengaluru,Sampangi Rama Nagar, Bangalore, india, 560001

Our classroom is located in UB Tower - one of the four beautiful towers in UB City. Being centrally located in the CBD (Central Business District), on the corner of Kasturba road and Vittal Mallya Road, it is just 1.8 km away from M.G. Road - Brigade road junction.

Details about Classroom

All the centres have state of the art audio/video webinars/seminars and presentation solutions. We also provide one-on-one Training sessions upon request. We encourage our students and delegates to bring along their own laptops during the exercises, as this helps in retaining the examples and handson exercises in their systems for post-session reference. 

For Sales Enquires and Meetings

All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.

Subcategories (5)

Image for the Apache NiFi

Apache NiFi
Image for the Apache Flink

Apache Flink
Image for the Apache Beam

Apache Beam
Image for the KSQL

KSQL
Image for the Spark Streaming

Spark Streaming

Explore Our Courses

Unified Batch and Stream Processing with Apache Beam

 14 Hours
Apache Beam is an open source, unified programming model for defining and executing parallel data processing pipelines. It's power lies in its ability to run both batch and streaming pipelines, with execution being carried out by one of Beam's supported distributed processing back-ends: Apache Apex, Apache Flink, Apache Spark, and Google Cloud Dataflow. Apache Beam is useful for ETL (Extract, Transform, and Load) tasks such as moving data between different storage media and data sources, transforming data into a more desirable format, and loading data onto a new system. In this instructor-led, live training (onsite or remote), participants will learn how to implement the Apache Beam SDKs in a Java or Python application that defines a data processing pipeline for decomposing a big data set into smaller chunks for independent, parallel processing. By the end of this training, participants will be able to:
  • Install and configure Apache Beam.
  • Use a single programming model to carry out both batch and stream processing from withing their Java or Python application.
  • Execute pipelines across multiple environments.
Format of the Course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • This course will be available Scala in the future. Please contact us to arrange.
Read more...

Building Kafka Solutions with Confluent

 14 Hours
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Confluent (a distribution of Kafka) to build and manage a real-time data processing platform for their applications. By the end of this training, participants will be able to:
  • Install and configure Confluent Platform.
  • Use Confluent's management tools and services to run Kafka more easily.
  • Store and process incoming stream data.
  • Optimize and manage Kafka clusters.
  • Secure data streams.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • This course is based on the open source version of Confluent: Confluent Open Source.
  • To request a customized training for this course, please contact us to arrange.
Read more...

Apache Flink Fundamentals

 28 Hours
This instructor-led, live training in Bangalore (online or onsite) introduces the principles and approaches behind distributed stream and batch data processing, and walks participants through the creation of a real-time, data streaming application in Apache Flink. By the end of this training, participants will be able to:
  • Set up an environment for developing data analysis applications.
  • Understand how Apache Flink's graph-processing library (Gelly) works.
  • Package, execute, and monitor Flink-based, fault-tolerant, data streaming applications.
  • Manage diverse workloads.
  • Perform advanced analytics.
  • Set up a multi-node Flink cluster.
  • Measure and optimize performance.
  • Integrate Flink with different Big Data systems.
  • Compare Flink capabilities with those of other big data processing frameworks.
Read more...

A Practical Introduction to Stream Processing

 21 Hours
In this instructor-led, live training in Bangalore (onsite or remote), participants will learn how to set up and integrate different Stream Processing frameworks with existing big data storage systems and related software applications and microservices. By the end of this training, participants will be able to:
  • Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streaming.
  • Understand and select the most appropriate framework for the job.
  • Process of data continuously, concurrently, and in a record-by-record fashion.
  • Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, etc.
  • Integrate the most appropriate stream processing library with enterprise applications and microservices.
Read more...

Apache Kafka for Python Programmers

 7 Hours
This instructor-led, live training in Bangalore (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to use Apache Kafka features in data streaming with Python. By the end of this training, participants will be able to use Apache Kafka to monitor and manage conditions in continuous data streams using Python programming.
Read more...

Stream Processing with Kafka Streams

 7 Hours
Kafka Streams is a client-side library for building applications and microservices whose data is passed to and from a Kafka messaging system. Traditionally, Apache Kafka has relied on Apache Spark or Apache Storm to process data between message producers and consumers. By calling the Kafka Streams API from within an application, data can be processed directly within Kafka, bypassing the need for sending the data to a separate cluster for processing. In this instructor-led, live training, participants will learn how to integrate Kafka Streams into a set of sample Java applications that pass data to and from Apache Kafka for stream processing. By the end of this training, participants will be able to:
  • Understand Kafka Streams features and advantages over other stream processing frameworks
  • Process stream data directly within a Kafka cluster
  • Write a Java or Scala application or microservice that integrates with Kafka and Kafka Streams
  • Write concise code that transforms input Kafka topics into output Kafka topics
  • Build, package and deploy the application
Audience
  • Developers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Notes
  • To request a customized training for this course, please contact us to arrange
Read more...

Confluent KSQL

 7 Hours
This instructor-led, live training in Bangalore (online or onsite) is aimed at developers who wish to implement Apache Kafka stream processing without writing code. By the end of this training, participants will be able to:
  • Install and configure Confluent KSQL.
  • Set up a stream processing pipeline using only SQL commands (no Java or Python coding).
  • Carry out data filtering, transformations, aggregations, joins, windowing, and sessionization entirely in SQL.
  • Design and deploy interactive, continuous queries for streaming ETL and real-time analytics.
Read more...

Apache NiFi for Administrators

 21 Hours
In this instructor-led, live training in Bangalore (onsite or remote), participants will learn how to deploy and manage Apache NiFi in a live lab environment. By the end of this training, participants will be able to:
  • Install and configure Apachi NiFi.
  • Source, transform and manage data from disparate, distributed data sources, including databases and big data lakes.
  • Automate dataflows.
  • Enable streaming analytics.
  • Apply various approaches for data ingestion.
  • Transform Big Data and into business insights.
Read more...

Apache NiFi for Developers

 7 Hours
In this instructor-led, live training in Bangalore, participants will learn the fundamentals of flow-based programming as they develop a number of demo extensions, components and processors using Apache NiFi. By the end of this training, participants will be able to:
  • Understand NiFi's architecture and dataflow concepts.
  • Develop extensions using NiFi and third-party APIs.
  • Custom develop their own Apache Nifi processor.
  • Ingest and process real-time data from disparate and uncommon file formats and data sources.
Read more...

Spark Streaming with Python and Kafka

 7 Hours
This instructor-led, live training in Bangalore (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to use Spark Streaming features in processing and analyzing real-time data. By the end of this training, participants will be able to use Spark Streaming to process live data streams for use in databases, filesystems, and live dashboards.
Read more...

Last Updated:

Testimonials (4)

Sufficient hands on, trainer is knowledgable

Chris Tan

Course - A Practical Introduction to Stream Processing

During the exercises, James explained me every step whereever I was getting stuck in more detail. I was completely new to NIFI. He explained the actual purpose of NIFI, even the basics such as open source. He covered every concept of Nifi starting from Beginner Level to Developer Level.

Firdous Hashim Ali - MOD A BLOCK

Course - Apache NiFi for Administrators

That I had it in the first place.

Peter Scales - CACI Ltd

Course - Apache NiFi for Developers

Recalling/reviewing keypoints of the topics discussed.

Paolo Angelo Gaton - SMS Global Technologies Inc.

Course - Building Stream Processing Applications with Kafka Streams

Upcoming Courses

Apache Flink Fundamentals

2025-05-26 09:30
28 hours
Bangalore, UB City - Classroom
337,322 INR (Online)
397,322 INR (Classroom)

Apache Flink Fundamentals

2025-06-09 09:30
28 hours
Bangalore, UB City - Classroom
337,322 INR (Online)
397,322 INR (Classroom)

Unified Batch and Stream Processing with Apache Beam

2025-06-19 09:30
14 hours
Bangalore, UB City - Classroom
168,661 INR (Online)
198,661 INR (Classroom)

Apache Flink Fundamentals

2025-07-07 09:30
28 hours
Bangalore, UB City - Classroom
337,322 INR (Online)
397,322 INR (Classroom)

A Practical Introduction to Stream Processing

2025-07-21 09:30
21 hours
Bangalore, UB City - Classroom
252,991 INR (Online)
297,991 INR (Classroom)

Other regions in India

Other Countries

These courses are also available in other countries

Consulting

Stream Processing Consulting
Online Stream Processing training in Bangalore, Stream Processing training courses in Bangalore, Weekend Stream Processing courses in Bangalore, Evening Stream Processing training in Bangalore, Stream Processing instructor-led in Bangalore, Stream Processing private courses in Bangalore, Online Stream Processing training in Bangalore, Stream Processing instructor in Bangalore, Stream Processing coaching in Bangalore, Stream Processing boot camp in Bangalore, Stream Processing on-site in Bangalore, Stream Processing instructor-led in Bangalore, Weekend Stream Processing training in Bangalore, Stream Processing one on one training in Bangalore, Evening Stream Processing courses in Bangalore, Stream Processing classes in Bangalore, Stream Processing trainer in Bangalore