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"apache" courses, certification and training

  1. Apache HBase Fundamentals Certification

    Apache HBase is an open-source, non-relational, distributed database modelled after Google's BigTable and is written in Java. It is developed as part of Apache Software Foundation's Apache Hadoop project and runs on top of HDFS (Hadoop Distributed File System), providing BigTable-like capabilities for Hadoop. This Apache HBase Fundamentals course will provide the candidates with the skills and knowledge on how to install HBase and discusses the HBase architecture and data modelling designs. The course offers unlimited access to the candidates for six months and a course completion certificate, which is recognised all across the world. Providing a career boost for both students and professionals, the modules have been designed by experts in the industry.

    6 HoursOnline self studyBeginner
    $ 86 Take this Course

    , Administration

    Offered by:  Skillsoft
  2. Apache Hadoop and MapReduce Essentials

    A set of algorithms for distributed processing of large data sets on computer clusters built from commodity hardware dubbed as Apache Hadoop. This course provides an introduction on the basic concepts of cloud computing with the help Apache Hadoop, Big Data and cloud computing. It also includes high-level information about operation, concepts, architecture and Hadoop ecosystem. MapReduce programming used for processing parallelizable issues across huge datasets. The course will take you through basics of programming in MapReduce and Hive. This training program is packed with case studies and real-life projects so that you gain a complete knowledge of apache Hadoop and MapReduce.

    4 HoursOnline self studyIntermediate
    $ 120 Take this Course

    Big Data, Cloud Computing, Operations

    Offered by:  Skillsoft
  3. Apache Spark Fundamentals

    Apache Spark Fundamentals course introduces to the various components of the spark framework to efficiently process, visualize and analyze data. The course takes you through spark applications using Python, Scala and Java. You will also learn about the apache spark programming fundamentals like resilient distributed datasets and check which operations to be used to do a transformation operation on the RDD. This will also show you how to save and load data from different data sources like different type of files, RDBMS databases and NO-SQL. At the end of the course, you will explore effective spark application and execute it on Hadoop cluster to make informed business decisions.

    3 HoursOnline self studyIntermediate
    $ 65 Take this Course

    Operations,

    Offered by:  Skillsoft
  4. Apache Spark and Scala (Online Classroom-Flexi Pass)

    Apache Spark is an open-source cluster-computing framework used for Big Data Processing. It combines SQL, streaming and complex analytics together seamlessly to handle a wide range of data processing scenarios. Scala is a general-purpose programming language which is supported by Apache Spark. This Apache Spark and Scala course is designed for candidates who want to advance their skills and expertise in Big Data Hadoop Ecosystem. Designed by experts in the industry, this course offers training on various topics like Spark Streaming, Spark SQL, Machine Learning Programming, GraphX Programming and Shell Scripting Spark. In addition to this, the candidates get to work on real life industry project. Upon completion of this course, successful candidates get experience certificate in Apache Spark and Scala.

    1107 Students
    47 HoursOnline ClassroomIntermediate
    $ 313 Enquire Now

    Big Data, Machine Learning, Operations

    Offered by:  Simplilearn
  5. Apache Hadoop for Database Administrators

    The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. In short, it provides user a platform for affordable high performance computing. This course offers a learning path that provides an explanation and demonstration of the most popular components in the Hadoop ecosystem. Designed to provide comprehensive knowledge to the candidates, this course gives unlimited access to the online content for six months and offers a course completion certificate that is recognised across the world. It defines and describes theory and architecture, while also providing instruction on installation, configuration, usage, and low-level use cases for the Hadoop ecosystem.

    19 HoursOnline self studyIntermediate
    $ 252 Take this Course

    , Big Data, , Languages, Administration, Operations

    Offered by:  Skillsoft
  6. Apache Cassandra Program

    Apache Cassandra is a free and an open source NoSQL database that is distributed and massively scalable. Cassandra can manage huge amounts of data across data centers and the cloud, providing highly availability with no single point of failure. This course has been specifically designed by expert professionals to provide learners an overview and training on various topics covering Cassandra's unique architecture, and installation and operation. It offers career boosts to both students and expert professionals. The course gives unlimited content access to candidates for six months and awards a course completion certificate, which is globally recognised.

    2 HoursOnline self studyBeginner
    $ 70 Take this Course

    , Big Data, Administration

    Offered by:  Skillsoft
  7. Apache Storm Introduction

    Apache Storm is a fast and scalable open source distribution system that drives real-time computations. Any aspirants in big data or data analysis can learn this tool to enhance their career path. | This Apache Storm Introduction course has been designed to provide the fundamental knowledge and training so that the learners can have an in-depth understanding of the concepts | The candidates will also get to know about various integrations, which will be introduced in this course | Developed by a group of experts in the field, this course offers candidates hands-on experience on how to deploy the Storm architecture | With quality content, the course also provides a course-completion certificate

    5.9 HoursOnline self studyIntermediate
    $ 120 Take this Course

    Big Data, Data Analysis, Production, Operations

    Offered by:  Skillsoft
  8. Apache Kafka

    Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java. Professionals who are interested in big data or data analysis career can learn this tool. | This Apache Kafka course provides the candidates with the basic concepts and in-depth understanding of how to deploy it | The course also offers candidates skills on managing servers, data serialization and deserialization techniques, and strategies for testing Kafka | Designed by some of the best professionals in the industry, the course offers quality online learning modules | Upon successful completion, a certification is offered to the candidates

    3.5 HoursOnline self studyIntermediate
    $ 120 Take this Course

    Big Data, Data Analysis, Operations

    Offered by:  Skillsoft
  9. Apache Spark and Scala Certification Training

    Apache Spark is an open-source cluster-computing framework used for Big Data Processing. It combines SQL, streaming and complex analytics together seamlessly to handle a wide range of data processing scenarios. Scala is a general-purpose programming language which is supported by Apache Spark. This Apache Spark and Scala course is designed for candidates who want to advance their skills and expertise in Big Data Hadoop Ecosystem. Designed by experts in the industry, this course offers training on various topics like Spark Streaming, Spark SQL, Machine Learning Programming, GraphX Programming and Shell Scripting Spark. In addition to this, the candidates get to work on real life industry project. Upon completion of this course, successful candidates get experience certificate in Apache Spark and Scala.

    1107 Students
    15 HoursOnline self studyIntermediate
    $ 175 Enquire Now

    Big Data, Machine Learning, Operations

    Offered by:  Simplilearn
  10. Vskills Certified Big Data and Apache Hadoop Developer Government Certification

    Big Data extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations. Apache Hadoop is an open source software platform which was born out of the need to process and handle Big Data. A Hadoop Developer has the same role as that of a software developer but the former has also analytical and problem solving skills associated with the Big Data domain. Vskills Certified Big Data and Apache Hadoop Developer course offers extensive training to the candidates on essential skills required to become a successful Hadoop Developer, Administrator or Data Scientist professionals in the field of Big Data. This government certification tests the candidates on various areas of Hadoop platform and Big Data. The prerequisite for taking this course is knowledge of object-oriented programming like Java.

    Offered by:  VSkills
  11. Apache Hadoop Administrator

    Apache Hadoop is an open source software project that enables distributed processing of large data sets across clusters of commodity servers. It is designed to scale up from a single server to thousands of machines, with very high degree of fault tolerance. This course has been developed to provide the candidates hands-on experience on different Hadoop operations and has high quality learning modules with unlimited access for six months. Content prepared by the experts in the industry, this course covers various topics like cluster planning, installation and administration, resource management and monitoring and logging. A course completion certification is provided to the candidates, which is accepted and recognised across the world.

    765 Students
    28 HoursOnline self studyIntermediate
    $ 252 Take this Course

    Administration, Operations, , Cloud Computing

    Offered by:  Skillsoft
  12. Apache Kafka for Beginners - Learn Kafka by Hands-On

    Description: Learn the fundamentals and advanced concepts of Apache Kafka in this course. There will be a hands on for each concept using inbuilt shell scripts that are available inside the Kafka download and using Java, Camel,Spark Spring Boot and Docker . This course will walk you through the concepts step by step and immediate hands on for each topic discussed. This course will help increase your technical expertise in Kafka. This course will be an eyeopener for people think Kafka is a complex system, eventually you will understand how simple Kafka is. This course can be a career breakthrough and assure you that you will find yourself in a better place after you complete this course. This course will transfer your from novice Kafka user to a experienced Kafka user. Why I should take this course ? This course will walk you through the Kafka architecture, different components of the Kafka architecture and advantages of Kafka over other systems. This course will focus on the internals of the Kafka and how to use Kafka and implement the concepts that are learnt in real time. This course will teach you how to implement the concepts using Java, Camel, Spark, Spring Boot and Docker. Course Overview: Section 1: Getting Started This section explains about the author and the course objectives. Section 2: Kafka Architecture This section explains about the following: Why do you need Kafka ? What is Kafka ? Kafka Architecture and the different components in the Kafka architecture. Role of zookeeper, Kafka Broker, Kafka Cluster, Producers and Consumers. Section 3: Download Kafka This sections explored about the different approaches of downloading the Kafka distribution in your local. Section 4: Core Internals of Apache Kafka + Hands on This section shows you the demo on how to start zookeeper and Kafka broker. Detailed explanation about Topics, Partitions, Consumers and Producers. Hands on creating topic and how to connect producer and consumers to the created topic using Console Producer and Consumer . Hands on about Kafka commit log. Section 5 : Kafka API's This section explains about the different Core API's and its use cases. Section 6 : Behind the scenes zookeeper, Broker , Producer and Consumers This section explains about what are the different Kafka components that interact with each to create a topic using a flow diagram . This sections also covers how producers and consumers connect to the Kafka and what are the different components that interact with each other behind the scenes. Section 7 : Running Multiple Brokers Hands on how to run multiple brokers in your machine. How does the consumer and producer while running it against the multiple brokers. Hands on Leader, Replica and ISR attributes in a Topic. Section 8 : Kafka Producers Detailed explanation about Kafka Producer and how to connect to the Kafka Cluster. How to implement the Kafka producer using Java? Exploring different partitioning mechanism and implementation in Java. How to alter the configuration of a topic ? Section 9 : Kafka Consumer Detailed explanation about Kafka Consumer. How to implement the Kafka Consumer using Java? Different types of Offset Management in Kafka Consumer. Automatic Offset Management using Java. Manual Offset Management using Java. Consumer Groups in Kafka consumer and its Advantages. Consumer Group id and its benefits. Implementation of consumer group in Java. How to reset the offset to a particular value in Kafka Consumer ? Section 10: Kafka Client - GUI Tool In this section we will download, install and demo about the Kafka GUI client tool that will be used to connect and Manage the Kafka cluster. Section 11: Apache Camel + Kafka Integrationa Quick Introduction to Apache Camel Apache Camel simple example Apache Camel Architecture Hands on - How to Build a Kafka consumer using Apache Camel Framework ? Hands on - How to Build a Kafka producer using Apache Camel Framework ? Section 12: Apache Spark + Kafka Integrationa Quick Introduction to Apache Spark Hands on - How to Build a Kafka consumer using Apache Spark Framework ? Section 12: Additional Configurations How to delete a topic ? Section 13: Apache Kafka -Spring Boot Implementation This section explains about the Spring boot Implementation of Apache Kafka modules Quick Introduction to Spring Quick Introduction to Spring boot Simple Spring Boot App via hands on Kafka Consumer using Spring Boot Kafka Producer using Spring Boot Section 14: Docker - Dockerize Kafka Broker, Zookeeper, Producer and Consumer In this section we will run the dockerized version of kafka broker, zookeeper and we will create the docker image of the Spring boot App. Quick Introduction to Docker. Installation of Docker Tool Box on Windows 10. Installation of Docker Tool Box on Mac. Creating a docker image of the spring boot App Creating an Account in Docker Hub and push/pull from Docker Hub. Exploring Different Docker commands. How to run Kafka Broker/Zookeeper in Docker ? Complete Integration and working app of Dockerized Kafka Broker, Zookeeper and dockerized Spring boot app. Section 15: Apache Kafka Security and Authentication In this section we will explore about the Kafka security Why do you need Kafka security ? Hands on session on how to enable SSL in Kafka Broker ? Hands on session on how to access the SSL secured broker using Console Consumer/Producer ? Hands on session on how to configure SSL in Kafka Producer using Java ? Hands on Session on how to configure SSL in Kafka Consumer using Java ? How to delete a topic ? Section 16: Conclusion Congratulations and Thank You ! By the end of this you will have a complete understanding of how Apache Kafka works and how to implement the concepts in real time using Java, Apache Camel, Apache Spark , Spring Boot and Docker.

    Online self studyIntermediate
    Enquire Now

    Offered by:  UDEMY
  13. Hadoop Administrator

    Hadoop is an Apache Software Foundation project and open source software platform for scalable, distributed computing. Hadoop can provide fast and reliable analysis of both structured data and unstructured data. In this course you will learn about the design principles, the cluster architecture, considerations for servers and operating systems, and how to plan for a deployment. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam. | Apache Spark Fundamentals course introduces to the various components of the spark framework to efficiently process, visualize and analyze data. The course takes you through spark applications using Python, Scala and Java. You will also learn about the apache spark programming fundamentals like resilient distributed datasets and check which operations to be used to do a transformation operation on the RDD. This will also show you how to save and load data from different data sources like different type of files, RDBMS databases and NO-SQL. At the end of the course, you will explore effective spark application and execute it on Hadoop cluster to make informed business decisions.

    31 HoursOnline self studyIntermediate
    $ 153 Take this Course

    Operations,

    Offered by:  Skillsoft
  14. Big Data Hadoop Expert Program - Online Classroom

    The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. | Mastering Hadoop and related tools: The course provides you with an in-depth understanding of the Hadoop framework including HDFS, YARN, and MapReduce. | Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. | The ‘Impala-an Open Source SQL Engine for Hadoop’ is an ideal course package for individuals who want to understand the basic concepts of Massively Parallel Processing or MPP SQL query engine that runs on Apache Hadoop. On completing this course, learners will be able to interpret the role of Impala in the Big Data Ecosystem. | MongoDB Developer and Administrator certification from Simplilearn would equip you to master the skills to become MongoDB experienced professional. By going through this MongoDB training you would become job ready by mastering data modelling, ingestion, query and Sharding, Data Replication with MongoDB along with installing, updating and maintaining MongoDB environment. | Apache Kafka is an open source Apache project. It is a high-performance real-time messaging system that can process millions of messages per second. It provides a distributed and partitioned messaging system and is highly fault tolerant.

    Offered by:  Simplilearn
  15. Cognixia Big Data and Hadoop Developer

    The most popular course tendering deep knowledge and insight into Big Data with Apaches Open Source Hadoop, Collabera Big Data and Hadoop Developer certification renders depth understanding. It includes MapReduce Frameworks, technologies like HBase, ZooKeeper, Pig, Flume and Hadoop Architecture. Become an expert in Hadoop and get familiar with industry based projects and cases. By engaging in this training certification, you will get the right experience to become certified Hadoop professional. Organizations are and continue to be looking for candidates with a right set of expertise for superb opportunities.

    86770 Students
    36 HoursOnline ClassroomIntermediate
    $ 499 Take this Course

    Big Data, Interview preparation, Data Analysis, , Operations

    Offered by:  Cognixia
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