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Apache Kafka Training

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  • Beginner & Advanced level Classes.
  • Hands-On Learning in Apache Kafka .
  • Best Practice for interview Preparation Techniques in Apache Kafka .
  • Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
  • Affordable Fees with Best curriculum Designed by Industrial Apache Kafka Expert.
  • Delivered by 9+ years of Apache Kafka Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
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  • Case Studies and Projects 8+

  • Hours of Training 45+

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  • Practical oriented / Job oriented Training. Practice on Real Time project scenarios.
  • We have designed an in-depth course so meet job requirements and criteria
  • Resume & Interviews Preparation Support
  • 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.
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    Hear it from our Graduate

    About Apache Kafka Training Course in

    Apache Apache Kafka is an open source software framework for storage and large scale processing of data-sets on clusters of commodity hardware. Apache Kafka is an Apache top-level project being built and used by a global community of contributors and users. No technology even after 20 years will replace Apache Apache Kafka . ACTE Apache Kafka training are designed in such a way that will upgrade the skill and make you to stand out in crowd.

    Top Job Offered Apache Kafka Tools Covered

    • Big Data, HDFS

      YARN, Spark

      MapReduce

    • PIG, HIVE

      HBase

      Mahout, Spark MLLib

    • Solar, Lucene

      Zookeeper

      Oozie

    Apache Kafka skills are in demand – this is an undeniable fact! Hence, there is an urgent need for IT professionals to keep themselves in trend with Apache Kafka and Big Data technologies. Apache Apache Kafka provides you with means to ramp up your career and gives you the following advantages: Accelerated career growth.

    Apache Kafka is the supermodel of Big Data. If you are a Fresher there is a huge scope if you are skilled in Apache Kafka . The need for analytics professionals and Big Data architects is also increasing . Today many people are looking to pursue their big data career by grabbing big data jobs as freshers.

    Even as a fresher, you can get a job in Apache Kafka domain. It is definitely not impossible for anyone to land a job in the Apache Kafka domain if they invest their mind in preparing and putting their best effort in learning and understanding the Apache Kafka concepts.

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

    A Apache Kafka Cluster uses Master-Slave architecture. It consist of a Single Master (NameNode) and a Cluster of Slaves (DataNodes) to store and process data. Apache Kafka is designed to run on a large number of machines that do not share any memory or disks. These DataNodes are configured as Cluster using Apache Kafka Configuration files. Apache Kafka uses a concept of replication to ensure that at least one copy of data is available in the cluster all the time. Because there are multiple copy of data, data stored on a server that goes offline or dies can be automatically replicated from a known good copy.

    • To learn Apache Kafka and build an excellent career in Apache Kafka , having basic knowledge of Linux and knowing the basic programming principles of Java is a must. Thus, to incredibly excel in the entrenched technology of Apache Apache Kafka , it is recommended that you at least learn Java basics.
    • Learning Apache Kafka is not an easy task but it becomes hassle-free if students know about the hurdles overpowering it. One of the most frequently asked questions by prospective Apache Kafka ers is- “How much java is required for Apache Kafka ”? Apache Kafka is an open source software built on Java thus making it necessary for every Apache Kafka er to be well-versed with at least java essentials for Apache Kafka . Having knowledge of advanced Java concepts for Apache Kafka is a plus but definitely not compulsory to learn Apache Kafka . Your search for the question “How much Java is required for Apache Kafka ?” ends here as this article explains elaborately on java essentials for Apache Kafka .

    Apache Apache Kafka is an open source platform built on two technologies Linux operating system and Java programming language. Java is used for storing, analysing and processing large data sets. ... Apache Kafka is Java-based, so it typically requires professionals to learn Java for Apache Kafka .

    Yes, you can learn Apache Kafka , without any basic programming knowledge . The only one thing matters is your dedication towards your work. If you really want to learn something, then you can easily learn. It also depends upon on which profile you want to start your work like there are various fields in Apache Kafka .

    Our course ware 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.

    Yes It is worth , Future will be bright. Learning Apache Kafka will definitely give you a basic understanding about working of other options as well. Moreover, several organizations are using Apache Kafka for their workload. So there are lot of opportunities for good developers in this domain. Indeed it is!

    No Learning Apache Kafka is not very difficult. Apache Kafka is a framework of java. Java is not a compulsory prerequisite for learning Apache Kafka . ... Apache Kafka is an open source software platform for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware.

    Apache Kafka framework can be coded in any language, but still, Java is preferred. For Apache Kafka , the knowledge of Core Java is sufficient, and it will take approximately 5-9 months. Learning Linux operating system: - It is recommended to have a basic understanding and working of the Linux operating system.

    Top reasons to consider a career in Apache Kafka ?

    Apache Kafka brings in better career opportunities in 2015.

    Learn Apache Kafka to pace up with the exponentially growing Big Data Market.

    Increased Number of Apache Kafka Jobs.

    Learn Apache Kafka to pace up with the increased adoption of Apache Kafka by Big data companies.


    Apache Kafka 's importance to users

    Despite the emergence of alternative options, especially in the cloud, Apache Kafka is still an important and valuable technology for big data users for the following reasons:

    • It can store and process vast amounts of structured, semi structured and unstructured data, quickly.
    • It protects application and data processing against hardware failures. If one node in a cluster goes down, processing jobs are automatically redirected to other nodes to ensure applications continue to run.
    • It doesn't require that data be preprocessed before being stored. Organizations can store raw data in HDFS and decide later how to process and filter it for specific analytics uses.
    • It's scalable, so companies can easily add more nodes to enable their systems to handle more data.
    • It can support real-time analytics to help drive better operational decision-making, as well as batch workloads for historical analysis.

    Apache Kafka applications and use cases

    YARN greatly expanded the applications that Apache Kafka clusters can handle to include interactive querying, stream processing and real-time analytics.

    For example, manufacturers, utilities, oil and gas companies, and other businesses are using real-time data that's streaming into Apache Kafka systems from IoT devices in predictive maintenance applications to try to detect equipment failures before they occur.

    Fraud detection, website personalization and customer experience scoring are other real-time use cases.

    Apache Kafka -importance ACTE

    Some other common use cases for Apache Kafka include the following:

    • Customer analytics. Examples include efforts to predict customer churn, analyze clickstream data to better target online ads to web users, and track customer sentiment based on comments about a company on social networks.
    • Risk management. Financial services companies use Apache Kafka clusters to develop more accurate risk analysismodels for use internally and by their customers. They also build investment models and develop trading algorithms in Apache Kafka -based big data systems.
    • In upcoming years, Apache Kafka is going to show a significant rise
      in demand and hence this is the right time to get skilled in the technology and get into it when the market is good.
    • 90 to 95% MNCs have taken Apache Kafka into use and even the startups are now moving forward to get into the same. Hence, demand for Apache Kafka is never-ending and selecting this as your career can give you a great platform to move ahead in your life and become a successful professional.
    • Operational intelligence. For example, Apache Kafka can help telecommunications companies better understand switching performance and network and frequency utilization for capacity planning and management.
    • By analyzing how mobile services are consumed and the available bandwidth in geographic regions, telcos can also determine the best places to locate new cell towers and respond more quickly to network problems.
    • Supply chain management. Manufacturers, retailers and trucking companies use Apache Kafka systems to track the movement of goods and vehicles so they can determine the costs of various transportation options.
    • In addition, they can analyze large amounts of historical, time-stamped location data to map out potential delays and optimize delivery routes.

    The technology has been deployed for many other uses, as well. For example, insurers use Apache Kafka for applications such as analyzing policy pricing and managing safe driver discount programs. Also, healthcare organizations look for ways to improve treatments and patient outcomes with Apache Kafka 's aid.

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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
    Show More
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    Need customized curriculum?

    Hands-on Real Time Apache Kafka Projects

    Project 1
    Customer churn analysis –Telecom Industry

    The project involves tracking consumer complaints registered on various Platforms.

    Project 2
    UBER Projects

    Determine dynamic pricing based on traffic congestion, Spark Streaming and Cassandra.

    Our Top Hiring Partner for Placements

    ACTE offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.

    • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
    • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
    • After completion of 70% Apache Kafka training course content, we will arrange the interview calls to students & prepare them to F2F interaction
    • Apache Kafka Trainers assist students in developing their resume matching the current industry needs
    • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
    • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

    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

    • Our Apache Kafka Training in . Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
    • As all Trainers are Apache Kafka domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
    • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
    • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
    • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Apache Kafka training to the students.
    • We have received various prestigious awards for Apache Kafka Training in from recognized IT organizations.

    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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