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HRDF Approved Training Provider in Malaysia - Modular Fast Track Skill-Based Trainings

Apache Kafka Essential Training

Apache Kafka is the leading open-source, enterprise-scale data streaming technology. It helps you move your data where you need it, in real time, reducing the headaches that come with integrations between multiple source and target systems. This training course helps you get started with all the fundamental Kafka operations, explore the Kafka CLI and APIs, and perform key tasks like building your own producers and consumers. :

Course Highlights

  • Apache Kafka basics
  • Kafka theory and architecture
  • Setting up Kafka to run on Mac, Linux, and Windows
  • Working with the Kafka CLI
  • Working with Kafka APIs: Kafka Connect, Streams, and Schema Registry


All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

HRDF claimable

Course Code: M1002

Course Booking


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Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

Course Details

Module 1 Overview of Apache Kafka

  • Kafka theory overview
  • Topics, partitions, and offsets
  • Brokers and topics
  • Topic replication
  • Producers and message keys
  • Consumer and consumer group
  • Consumer offsets and delivery semantics
  • Kafka broker discovery
  • ZooKeeper
  • Kafka guarantees

Module 2. Starting Kafka

  • macOS: Download and set up Kafka in PATH
  • macOS: Using brew
  • macOS: Start ZooKeeper and Kafka
  • Linux: Download and set up Kafka in PATH
  • Linux: Start ZooKeeper and Kafka
  • Windows: Download and set up Kafka in PATH
  • Windows: Start ZooKeeper and Kafka

Module 3. Command Line Interface (CLI) 101

  • CLI introduction
  • Kafka topics CLI
  • Kafka console producer CLI
  • Kafka console consumer CLI
  • Kafka consumers in groups
  • Kafka consumer groups CLI
  • Resetting offsets
  • Kafka Tool UI

Module 4. Kafka Java Programming 101

  • Intro to Kafka programming
  • Creating a Kafka project
  • Java producer
  • Java producer callbacks
  • Java producer with keys
  • Java consumer
  • Java consumer inside consumer group
  • Java consumer with threads
  • Java consumer seek and assign
  • Client bidirectional compatibility

Course Admin


This is a beginner level course. There is no prerequisite

Software Requirement

Please download and install the following software prior to the class

Who Should Attend

  • Big Data Analysts
  • Big Data Administrator


Apache Solr TrainerSiva Kumar is a Bigdata solution architect with 10 years of IT experience in designing and architecture solutions for the Big Data domain and has been involved with several complex engagements. Technical blogger and owner of and 4+ years of experienced in big data related technologies training across USA, Canada, Singapore and India. Technical strengths include Apache Hadoop (Cloudera and Hortonworks), YARN, Mapreduce, Hive, Sqoop, Flume, Pig, HBase, Phoenix, Oozie, Kafka, Spark, MySQL, Postgres, Oracle, Netezza, Teradata, Java, Scala and Python, Apache Flink, Alluxio, Cassandra, MongoDB. Exposure in Banking, Insurance, Retail domain

Apach Solr TrainerDr. Sarita Singh received her Ph.D. degree for her work done in the area of Information Security. She is the recipient of the prestigious Infosys fellowship for pursuing her Ph.D. Programme. She has more than twenty-five years of teaching and research experience in Singapore, Malaysia and India in the field of Programming, Information Security, Web-application Development, Computer Networks and Engineering related modules.

She has presented papers at several National and International Conferences and has written articles for magazines. She has authored text-books for Engineering courses as well.

Apache Solr TrainerKannan Gopal has a Masters in Computer Applications with over 20 years of experience in creating, delivering and supporting, products, projects and program in the area of enterprise data ops and analytics. Lately he has been involved in the creation of the digital banking app and working on IoT to create smart organizations. His expertise is in using data tools for analysis and visualization to solve challenges in organizations that rely on data for strategic and tactical decisions. He has experience in Design Thinking (HCD- human centered design) techniques and in leading organizations in the quest of digital transformation with data as its core for decisions and information.

Through his career, he has also developed teams and trained / coached many consultants and developers on SAP BI and related products and worked extensively in Europe and Asia. Through his career, he has developed solutions in the area of data modeling, data analysis and analytics – application of tools and process for solving customer issues. While at SAP, his team has won numerous patents for developing and applying data mining methods to enterprise management systems.

His keen interest lies in sharing and collaborating with people on new technologies and to create best practices in the area of analytics.

Apache Solr TrainerSunny Prakash is a Big Data Architect with Programming Background . He has around 7 years of IT experience. He has worked on Various Enterprise level solution. He is skilled in Cloud computing and Big Data Solution building in various Industrial sector and domain.

With an Strong background in Coding skills, he has a strong grips on Java,Python ,Scala ,HTML,JavaScript, Node Programming. Data Science is another specification where he has worked with larger Enterprises for finding their Data Insight and building Machine Learning mode

Apache Solr TrainerMohan is certified cloud ear administrator and working as Big data architect in one of telecom Company. He has more than 12 years experience in the IT industry. His skill sets are Expertise in CDH,Hadoop, Spark, Scala, Hive/Hive-server2, Sqoop/Sqoop-Server2, Impala, Sentry, Kafka, solr, Hbase, Pig, Impala, Oozie, Fair scheduler,AWS,Map R. Provide the Big data consultancy services on Planning and sizing of Hadoop Cluster. Backup and recovery strategies, HA, Configure Hadoop security and authorization rules for Hive/Impala Jobs. Performance tunning of Map reduce Jobs, Spark jobs, Solr. Best Recommendations of Hardware and software for Solr,Hbase, Kafka,Zookeeper service ,Hadoop storage formats. Data Analysis using Impala, Impyla, spark. He graduated from S.V.University from India with a

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