Explore Our Courses

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,
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A Practical Introduction to Stream Processing

  21 hours
In this instructor-led, live training in Estonia (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
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Apache Kafka for Python Programmers

  7 hours
This instructor-led, live training in Estonia (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
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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
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Real-Time Stream Processing with MapR

  7 hours
In this instructor-led, live training, participants will learn the core concepts behind MapR Stream Architecture as they develop a real-time streaming application. By the end of this training, participants will be able to build producer and
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Samza for Stream Processing

  14 hours
Apache Samza is an open-source near-realtime, asynchronous computational framework for stream processing.  It uses Apache Kafka for messaging, and Apache Hadoop YARN for fault tolerance, processor isolation, security, and resource
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Tigon: Real-time Streaming for the Real World

  14 hours
Tigon is an open-source, real-time, low-latency, high-throughput, native YARN, stream processing framework that sits on top of HDFS and HBase for persistence. Tigon applications address use cases such as network intrusion detection and analytics,
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Apache Flink Fundamentals

  28 hours
This instructor-led, live training in Estonia (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
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Apache NiFi for Administrators

  21 hours
In this instructor-led, live training in Estonia (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
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Apache NiFi for Developers

  7 hours
In this instructor-led, live training in Estonia, 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,
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Apache Storm

  28 hours
Apache Storm is a distributed, real-time computation engine used for enabling real-time business intelligence. It does so by enabling applications to reliably process unbounded streams of data (a.k.a. stream processing). "Storm is for
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Apache Apex: Processing Big Data-in-Motion

  21 hours
Apache Apex is a YARN-native platform that unifies stream and batch processing. It processes big data-in-motion in a way that is scalable, performant, fault-tolerant, stateful, secure, distributed, and easily operable. This instructor-led, live
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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
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Apache Ignite for Developers

  14 hours
This instructor-led, live training in Estonia (online or onsite) is aimed at developers who wish to learn the principles behind persistent and pure in-memory storage as they step through the creation of a sample in-memory computing project. By
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Confluent KSQL

  7 hours
This instructor-led, live training in Estonia (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
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Spark Streaming with Python and Kafka

  7 hours
This instructor-led, live training in Estonia (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,
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Testimonials

Sufficient hands on, trainer is knowledgable

Chris Tan
A Practical Introduction to Stream Processing Course

The lab exercises. Applying the theory from the first day in subsequent days.

- Dell
A Practical Introduction to Stream Processing Course

Recalling/reviewing keypoints of the topics discussed.

Paolo Angelo Gaton - SMS Global Technologies Inc.
Building Stream Processing Applications with Kafka Streams Course

The working sessions where we worked on real issues we are trying to solve and built out solutions together.

Jacob Jaskolka, BHG Financial
Apache NiFi for Administrators Course

Hands on

Isaac Hastings, New Zealand Defence Force
Apache NiFi for Administrators Course

Hands on.

Dwayne McDonald - Isaac Hastings, New Zealand Defence Force
Apache NiFi for Administrators Course

James answered my every question, was extremely patient and explained me everything. NIFI was Greek and latin for me and i have learnt what was a processor, flunnel and the root process from Beginner level to Advanced Level.

Firdous Hashim Ali - MOD A BLOCK
Apache NiFi for Developers Course

That I had it in the first place.

Peter Scales - CACI Ltd
Apache NiFi for Developers Course

Work exercises with cluster to see performance of nodes across cluster and extended functionality

CACI Ltd
Apache NiFi for Developers Course

The trainer was passionate and well-known what he said I appreciate his help and answers all our questions and suggested cases.

A Practical Introduction to Stream Processing Course

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