Apache Kafka Training in Singapore | Apache Kafka Certification Course | Updated 2025
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Apache Kafka Training in Singapore

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  • Get Trained Beginner & Advanced Level Classes.
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  • Most Salutary Preparation for interview Preparation Techniques.
  • Delivered More than 12402+ Students Trained & 350+ Recruiting Clients.
  • Endurance Access to Student’s Portal, Videos & Top MNC Interview Question.
  • Most Beneficial Curriculum Created by Industrial Business Analyst Specialist.
  • Next Apache Kafka Batch to Begin this week – Enroll Your Name Now!

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Fee INR 18000

INR 14000

Training

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  • Case Studies and Projects 8+

  • Hours of Training 45+

  • Placement Assurance 100%

  • Expert Support 24/7

  • Support & Access Lifetime

  • Certification Yes

  • Skill Level All

  • Language All

Gain the Best Practices On live Projects in Apache Kafka Training in Singapore

  • You may learn Spark from the ground up in this Apache Kafka lesson so that you can succeed as a Big Data Analytics expert.
  • You may learn about the Spark structure and its additives, such as Spark Core, Spark Programming, Spark SQL, Spark Streaming, Mallis, and Graph, in this Apache Kafka tutorial.
  • You may also study Apache Kafka, develop Scala Spark packages, and much more. Acquire Apache Spark knowledge from the ACTE Apache Spark Course and accelerate your career.
  • You'll not only get knowledge about Apache Kafka with Scala Certification and advanced topics, but you'll also gain exposure to industry best practices.
  • Apache Kafka accelerates data replication, input, and streaming across a wide range of heterogeneous databases, data warehouses, and large-scale data platforms.
  • This certification path consists of a comprehensive set of ideas and practical periods in which you can put what you've learned into practise in real-time tasks.
  • Concepts: High Availability, Big Data opportunities, Challenges, Apache Kafka Distributed File System (HDFS), Map Reduce, API discussion, Hive, Hive Services, Hive Shell, Hive Server and Hive Web Interface, SQOOP, H Catalogue, Flume, Oozie.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

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+91-7669 100 251
Other Categories Placements
  • Non-IT to IT (Career Transition) 2371+
  • Diploma Candidates3001+
  • Non-Engineering Students (Arts & Science)3419+
  • Engineering Students3571+
  • CTC Greater than 5 LPA4542+
  • Academic Percentage Less than 60%5583+
  • Career Break / Gap Students2588+
Top Placement Record

Upcoming Batches

05-May-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

07-May-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

10-May-2025
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session

11-May-2025
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

    Hear it from our Graduate

    Course Objectives

      Apache Spark has a bright future. Anyone using Hadoop uses apache spark in real-time use cases in the industry in any discipline. Very importantly Mapreduse can be performed far better in apache spark. Spark can run independently. Apart from that it can run on the Hadoop YARN cluster manager and can read any existing Hadoop data.

      Apache Spark has a really good eternity. Apache Spark is a powerful open-source engine that provides real-time stream processing, interactive processing, graph processing, in-memory processing as well as batch processing with very fast speed, ease of use, and standard interface. Apache Spark is an interesting principle for data scientists with use cases crossing exploratory and operational analytics. Data scientists' square measure displaying interest in operating with Spark is attributable to its ability to store knowledge occupant in memory that helps.

      If you are newer, then with the basic principles from the course you can land a decent job in the same field. If you are experienced, then I would suggest you look for possibilities in your current standard, as it is easier than looking outside. If it is difficult to get the opportunity in your current organization, then you can do some POCs on your own. Some several blogs/websites can help you with this. Practice will make you more sound in any domain. So keep practicing.

    Spark Core is the underlying common execution engine for the Spark principles that all other functionality is built upon. It provides In-Memory computing and referencing datasets in external storage systems.

      You can use spark without knowing Apache Spark, and explain everything in Python, but you might miss out on some features. Apache Spark is the number one framework in Big data. To implement any framework, we must have experience in any programming language. Like to complete Hadoop framework, must have Apache Spark occurrence.

      We are pleased and proud to say that we have a strong relationship with over 700+ small, mid-sized, and MNCs. Many of these companies have openings for Apache Spark. Moreover, we have a very effective placement cell that provides 100% placement support to our students. The organization also contributes by training students in mock interviews and discussions still after the course completion.

      Nowadays Apache Spark is in high desire and worth big data processing engine. Its run-time processing and 100 x faster speed set the tone for things to come in the future. However, Spark has several areas on which it needs to improve to realize its full potential.

    Will I Be Provided Sufficient Practical Training In Apache Spark?

      Our course material is designed to give a hands-on approach to the students in Apache Spark. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical assemblies reflecting the current objections and needs of the industry that will demand the students time and commitment.

    How long would it need to acquire Apache Spark?

      It depends on the Big Data concepts that you know. Assume, you are a Hadoop developer - then learning Spark is just like acquiring another concept for Big Data analysis. It will hardly take a few weeks at max to understand the Apache Spark theories. Now if you are not a Hadoop developer or if you have not used Scala language for your programming requirements, then it will take a while. You will need to know Hadoop theories like HDFS, HBase, etc. to realize how Spark will run, and then you will need to learn Scala programming for Spark. A 40–50 hour course should be adequate for this.

    Top most reasons to consider a profession in Apache Spark?

    • Extremely compatible with Hadoop.
    • Spark is overlapping Hadoop MapReduce.
    • Easier path to Bigdata.
    • High market demand of Spark Developer.
    • Diverse Nature.
    • To make big money.

    What training options are available for this Apache Scala and Spark certification training course?

      We Provide two types of training :

    • Live Virtual Classroom or Online Classroom : You can attend the Apache Scala and Spark course remotely from your desktop or laptop using video conferencing with instructor-led online classroom instruction. This style increases productivity while decreasing time away from work or home.

    • Online Self-Learning : In this mode, you will be sent lecture videos that you can watch at your convenience.

    What are the Essentials for Acquiring Apache Spark?

      Before you start progressing with this tutorial, we assume that you have a prior appearance to Scala programming, database theories, and any of the Linux operating system flavors.

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    Overview of Apache Kafka Training in Singapore

    ACTE provides real-time and placement focused Apache Kafka Training in Singapore. Our Apache Kafka training ranges from beginner to intermediate, with classroom and online options available. The Apache Kafka course curriculum is designed to land you a job in a well-known MNC company in Singapore once you complete your Apache Kafka training.

    Our Apache Kafka instructors are highly qualified and experienced working professionals with hands-on real-world experience. Our course material and syllabus were developed in response to the needs of our students to assist them in achieving their professional objectives. In our Training program, you will learn how to work with Apache Kafka.

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    Key Features

    ACTE offers Apache Kafka Training in more than 27+ branches with expert trainers. Here are the key features,

    • 40 Hours Course Duration
    • 100% Job Oriented Training
    • Industry Expert Faculties
    • Free Demo Class Available
    • Completed 500+ Batches
    • Certification Guidance

    Authorized Partners

    ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS .

     

    Curriculum

    Syllabus of Apache Kafka Course in
    Module 1: Introduction to Apache Kafka
    • High Availability
    • Scaling
    • Advantages and Challenges
    Module 2: Introduction to Big Data
    • What is Big data
    • Big Data opportunities,Challenges
    • Characteristics of Big data
    Module 3: Introduction to Apache Kafka
    • Apache Kafka Distributed File System
    • Comparing Apache Kafka & SQL
    • Industries using Apache Kafka
    • Data Locality
    • Apache Kafka Architecture
    • Map Reduce & HDFS
    • Using the Apache Kafka single node image (Clone)
    Module 4: Apache Kafka Distributed File System (HDFS)
    • HDFS Design & Concepts
    • Blocks, Name nodes and Data nodes
    • HDFS High-Availability and HDFS Federation
    • Apache Kafka DFS The Command-Line Interface
    • Basic File System Operations
    • Anatomy of File Read,File Write
    • Block Placement Policy and Modes
    • More detailed explanation about Configuration files
    • Metadata, FS image, Edit log, Secondary Name Node and Safe Mode
    • How to add New Data Node dynamically,decommission a Data Node dynamically (Without stopping cluster)
    • FSCK Utility. (Block report)
    • How to override default configuration at system level and Programming level
    • HDFS Federation
    • ZOOKEEPER Leader Election Algorithm
    • Exercise and small use case on HDFS
    Module 5: Map Reduce
    • Map Reduce Functional Programming Basics
    • Map and Reduce Basics
    • How Map Reduce Works
    • Anatomy of a Map Reduce Job Run
    • Legacy Architecture ->Job Submission, Job Initialization, Task Assignment, Task Execution, Progress and Status Updates
    • Job Completion, Failures
    • Shuffling and Sorting
    • Splits, Record reader, Partition, Types of partitions & Combiner
    • Optimization Techniques -> Speculative Execution, JVM Reuse and No. Slots
    • Types of Schedulers and Counters
    • Comparisons between Old and New API at code and Architecture Level
    • Getting the data from RDBMS into HDFS using Custom data types
    • Distributed Cache and Apache Kafka Streaming (Python, Ruby and R)
    • YARN
    • Sequential Files and Map Files
    • Enabling Compression Codec’s
    • Map side Join with distributed Cache
    • Types of I/O Formats: Multiple outputs, NLINEinputformat
    • Handling small files using CombineFileInputFormat
    Module 6: Map Reduce Programming – Java Programming
    • Hands on “Word Count” in Map Reduce in standalone and Pseudo distribution Mode
    • Sorting files using Apache Kafka Configuration API discussion
    • Emulating “grep” for searching inside a file in Apache Kafka
    • DBInput Format
    • Job Dependency API discussion
    • Input Format API discussion,Split API discussion
    • Custom Data type creation in Apache Kafka
    Module 7: NOSQL
    • ACID in RDBMS and BASE in NoSQL
    • CAP Theorem and Types of Consistency
    • Types of NoSQL Databases in detail
    • Columnar Databases in Detail (HBASE and CASSANDRA)
    • TTL, Bloom Filters and Compensation
    <strongclass="streight-line-text"> Module 8: HBase
    • HBase Installation, Concepts
    • HBase Data Model and Comparison between RDBMS and NOSQL
    • Master & Region Servers
    • HBase Operations (DDL and DML) through Shell and Programming and HBase Architecture
    • Catalog Tables
    • Block Cache and sharding
    • SPLITS
    • DATA Modeling (Sequential, Salted, Promoted and Random Keys)
    • Java API’s and Rest Interface
    • Client Side Buffering and Process 1 million records using Client side Buffering
    • HBase Counters
    • Enabling Replication and HBase RAW Scans
    • HBase Filters
    • Bulk Loading and Co processors (Endpoints and Observers with programs)
    • Real world use case consisting of HDFS,MR and HBASE
    Module 9: Hive
    • Hive Installation, Introduction and Architecture
    • Hive Services, Hive Shell, Hive Server and Hive Web Interface (HWI)
    • Meta store, Hive QL
    • OLTP vs. OLAP
    • Working with Tables
    • Primitive data types and complex data types
    • Working with Partitions
    • User Defined Functions
    • Hive Bucketed Tables and Sampling
    • External partitioned tables, Map the data to the partition in the table, Writing the output of one query to another table, Multiple inserts
    • Dynamic Partition
    • Differences between ORDER BY, DISTRIBUTE BY and SORT BY
    • Bucketing and Sorted Bucketing with Dynamic partition
    • RC File
    • INDEXES and VIEWS
    • MAPSIDE JOINS
    • Compression on hive tables and Migrating Hive tables
    • Dynamic substation of Hive and Different ways of running Hive
    • How to enable Update in HIVE
    • Log Analysis on Hive
    • Access HBASE tables using Hive
    • Hands on Exercises
    Module 10: Pig
    • Pig Installation
    • Execution Types
    • Grunt Shell
    • Pig Latin
    • Data Processing
    • Schema on read
    • Primitive data types and complex data types
    • Tuple schema, BAG Schema and MAP Schema
    • Loading and Storing
    • Filtering, Grouping and Joining
    • Debugging commands (Illustrate and Explain)
    • Validations,Type casting in PIG
    • Working with Functions
    • User Defined Functions
    • Types of JOINS in pig and Replicated Join in detail
    • SPLITS and Multiquery execution
    • Error Handling, FLATTEN and ORDER BY
    • Parameter Substitution
    • Nested For Each
    • User Defined Functions, Dynamic Invokers and Macros
    • How to access HBASE using PIG, Load and Write JSON DATA using PIG
    • Piggy Bank
    • Hands on Exercises
    Module 11: SQOOP
    • Sqoop Installation
    • Import Data.(Full table, Only Subset, Target Directory, protecting Password, file format other than CSV, Compressing, Control Parallelism, All tables Import)
    • Incremental Import(Import only New data, Last Imported data, storing Password in Metastore, Sharing Metastore between Sqoop Clients)
    • Free Form Query Import
    • Export data to RDBMS,HIVE and HBASE
    • Hands on Exercises
    Module 12: HCatalog
    • HCatalog Installation
    • Introduction to HCatalog
    • About Hcatalog with PIG,HIVE and MR
    • Hands on Exercises
    Module 13: Flume
    • Flume Installation
    • Introduction to Flume
    • Flume Agents: Sources, Channels and Sinks
    • Log User information using Java program in to HDFS using LOG4J and Avro Source, Tail Source
    • Log User information using Java program in to HBASE using LOG4J and Avro Source, Tail Source
    • Flume Commands
    • Use case of Flume: Flume the data from twitter in to HDFS and HBASE. Do some analysis using HIVE and PIG
    Module 14: More Ecosystems
    • HUE.(Hortonworks and Cloudera)
    Module 15: Oozie
    • Workflow (Action, Start, Action, End, Kill, Join and Fork), Schedulers, Coordinators and Bundles.,to show how to schedule Sqoop Job, Hive, MR and PIG
    • Real world Use case which will find the top websites used by users of certain ages and will be scheduled to run for every one hour
    • Zoo Keeper
    • HBASE Integration with HIVE and PIG
    • Phoenix
    • Proof of concept (POC)
    Module 16: SPARK
    • Spark Overview
    • Linking with Spark, Initializing Spark
    • Using the Shell
    • Resilient Distributed Datasets (RDDs)
    • Parallelized Collections
    • External Datasets
    • RDD Operations
    • Basics, Passing Functions to Spark
    • Working with Key-Value Pairs
    • Transformations
    • Actions
    • RDD Persistence
    • Which Storage Level to Choose?
    • Removing Data
    • Shared Variables
    • Broadcast Variables
    • Accumulators
    • Deploying to a Cluster
    • Unit Testing
    • Migrating from pre-1.0 Versions of Spark
    • Where to Go from Here
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    Need customized curriculum?

    Best Practising on Live Projects for Apache Kafka Training in Singapore

    Project 1
    High throughput and low latency

    To manage large amounts of data, Apache Kafka can horizontally scale to hundreds of brokers within a cluster.

    Project 2
    Apache Kafka performs the function of a buffer

    Previously, data transformations from external source systems were performed in batches, frequently late at night.

    Project 3
    Everyone has access to data

    Because all of your data is centralised in Apache Kafka, any team can easily access it.

    Project 4
    It eliminates the need for multiple integrations

    Because Apache Kafka handles all of your data, it eliminates the need for multiple integrations.

    Our Top Hiring Paretner for Placements

      ACTE offers placement opportunities as add-on to every student / professional who completed our classroom in Apache Kafka Training in Singapore. Some of our students are working in these companies listed below.
    • ACTE offers Apache Kafka Training in a variety of locations across the United States.
    • Our Apache Kafka Training centers feature cutting-edge labs and infrastructure.
    • We also offer Apache Kafka Certification Training in Singapore, which provides our students with a clear path.
    • Our Apache Kafka course fees are reasonable and tailored to each student's specific training requirements.
    • Through our affiliated Apache Kafka Training facilities, we have trained over 1099 Apache Kafka students and provided Apache Kafka placement training.
    • Apache Kafka Training is available in a variety of formats, including daytime sessions, weekend classes, evening batch classes, and fast-track programs.

    Get Certified By MapR Certified Apache Kafka Developer (MCHD) & Industry Recognized ACTE Certificate

    Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees.

    Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

    Complete Your Course

    a downloadable Certificate in PDF format, immediately available to you when you complete your Course

    Get Certified

    a physical version of your officially branded and security-marked Certificate.

    Get Certified

    About Experienced Apache Kafka Trainer

    • ACTE Placement offers world-class training as well as real-world agile technologies and processes, allowing you to tailor your skills to the needs of the company.
    • Out Apache, Kafka Trainers has published papers in national and international project journals and is well-known as a skilled trainer and consultant in his field.
    • ACTE Trainers achieve all of this by enabling stronger collaborative implementation through better-informed decisions to improve organizational performance in the face of uncertainty and complexity.
    • Certified International Project Manager, Accredited Master Project Manager, Fellow of the American Academy of Project Management, and Member of the Association of Project Management are among the certifications held by our teachers.
    • ACTE Technologies' online Apache Kafka certification and training instructors have more than 15 years of experience managing and deploying Hadoop ecosystems and have educated over 15,000 students to become experts in Apache Kafka and other relevant topics.

    Apache Kafka Course FAQs

    Looking for better Discount Price?

    Call now: +91-7669 100 251 and know the exciting offers available for you!
    • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
    • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
    • More than 3500+ students placed in last year in India & Globally
    • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
    • 85% percent placement record
    • Our Placement Cell support you till you get placed in better MNC
    • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
      ACTE Gives Certificate For Completing A Course
    • Certification is Accredited by all major Global Companies
    • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS
    • The entire Apache Kafka training has been built around Real Time Implementation
    • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
    • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
    All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
    No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
    We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

    Why Should I Learn Apache Kafka Course At ACTE?

    • Apache Kafka Course in ACTE is designed & conducted by Apache Kafka experts with 10+ years of experience in the Apache Kafka domain
    • Only institution in India with the right blend of theory & practical sessions
    • In-depth Course coverage for 60+ Hours
    • More than 50,000+ students trust ACTE
    • Affordable fees keeping students and IT working professionals in mind
    • Course timings designed to suit working professionals and students
    • Interview tips and training
    • Resume building support
    • Real-time projects and case studies
    Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
    You will receive ACTE globally recognized course completion certification Along with project experience, job support, and lifetime resources.
    We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
    We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Apache Kafka batch to 5 or 6 members
    Our courseware is designed to give a hands-on approach to the students in Apache Kafka . The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
    You can contact our support number at +91 76691 00251 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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    Request for Class Room & Online Training Quotation



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