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Big Data Courses, Certification & Training

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A really big and something beyond your imagination, Big data is increasing business efficiency, improving customer experience and transforming business. Every day consumers rely on big data to run the business successfully. Big data is indeed a crucial way for leading organizations to outperform their competitors. Along with the flood in big data interest, enormous certifications have come up for professionals with a background in data management, analytics and data mining.
Naukri learning provides online big data courses designed in such a way that it saves time and money for individuals. These certifications are high in demand and give you an excellent idea of where to start your search.

Know More

A really big and something beyond your imagination, Big data is increasing business efficiency, improving customer experience and transforming business. Every day consumers rely on big data to run the business successfully. Big data is indeed a crucial way for leading organizations to outperform their competitors. Along with the flood in big data interest, enormous certifications have come up for professionals with a background in data management, analytics and data mining.
Naukri learning provides online big data courses designed in such a way that it saves time and money for individuals. These certifications are high in demand and give you an excellent idea of where to start your search.

Know More

Today’s companies seek for better ways to wrangle the huge amount of data available to them and use the information they require. You will have scores of benefits like better job opportunities, career growth and better salary. It’s simply difficult to ignore the significance of big data in today’s business world. The certifications help the interviewers that your big data knowledge is current and at par with the industry standards. If you want to be ahead of others, big data certification is a must as it helps you gain specialized skills.

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Anyone with a basic knowledge of Java, Linux, Machine Learning, C or Python is eligible for learning big data training. Big data offers numerous life-changing career opportunities. It is the most demanding professional certification in the industry. Big data is meant for following professionals:
• Aspiring data scientists
• Project managers
• Business intelligence professionals
• Software engineers
• Testing professionals
• Graduates looking to build a career in big data

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Career Outcomes

  • One can expect opportunities in one of the following job titles: • Big data engineer • Data warehouse architect • Machine learning engineer • Data mining engineer • Chief data analyst
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  1. Collabera 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.

    Big Data, Interview preparation, java, Operations

    36 HoursOnline ClassroomIntermediate86770 Students
  2. Certified Big Data Engineering Professional

    Big data, in simple terms, refer to the huge amount of data set that cannot be usually analysed using traditional methods. Big data is a growing field and many businesses are adopting it to improve their business functions; leading to a spurt in the demand for expert professionals in the field. | This Certified Big Data Engineering Professional course is aimed at providing the best-in-the-industry training to the candidates who are looking to get success in big data field | The course has quality online learning modules which have been developed by subject matter experts | Providing the necessary skills, the course has a comprehensive coverage of all important topics related to big data engineering | A course completion certification is awarded to the candidates

    Big Data

    1 HourOnline self studyIntermediate101 Students
  3. Big Data Hadoop Expert Program

    Big Data Hadoop Expert Program ensures that you transform into a Big Data Hadoop expert by acquiring core skill sets, including Hadoop Development and mastering data modelling, ingestion, query and Sharding, Data Replication with MongoDB. The program also equips you with relevant work experience by implementing real life industry projects in the requisite Hadoop technologies.

    Big Data, Insurance, Virtual Machine, Telecom, java, Machine Learning, Production, Administration

    56 HoursOnline self studyExpert
  4. Big Data and Hadoop Developer

    This course has been designed to impart in-depth knowledge of Big data and Hadoop. It is packed with real-life scenarios and case studies. It begins with an overview of the Big Data Eco System, the requirement for Big Data and its applications. Then it go ahead with Map-reduce framework, Installations, technologies like HBase, Oozie, Pig, Hive and Flume. The course also includes quizzes, multiple assignments and a project. Besides this, it helps you understand various sorts of avro schema, components of Hadoop and map-reduce framework. You will also gain expertise sqoop after completion of course.

    Big Data, Virtual Machine, Hadoop Administration, Administration

    30 HoursOnline self studyIntermediate840 Students
  5. Spark, Scala and Storm combo

    It is an all-in-course designed to give a 360 degree overview of real-time processing of unbound data streams using Apache Storm and creating applications in Spark using Scala programming. The major topics include concepts of Big Data world, Batch Analysis, Types of Analytics and usage of Apache Storm for real-time Big Data Analytics, Comparison between Spark and Hadoop and Techniques to increase your application performance, enabling high-speed processing.

    Big Data, java, Machine Learning, Law, Operations

    40 Hours Online self studyIntermediate8122 Students
  6. Big Data Fundamentals

    The course covers the way team works in big data companies, some challenges and opportunities that big data offers. You will also learn how big data is driving organizational change and the main challenges companies face when trying to analyze massive data sets. Besides, some fundamental techniques like big data stack, data mining and stream processing. In this training program, you will come across a number of tools for working with big data. It also lets you learn the technique of storing, processing and deploying in an enterprise scenario. You will gain a deep knowledge of what insights big data can offer through hands-on experience with the tools used by big data experts. At the end of the course, you will have a better understanding of the different applications of big data in industry.

    Big Data, Cloud Computing

    3 HoursOnline self studyIntermediate
  7. 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.

    Big Data, Cloud Computing, java, Operations

    4 HoursOnline self studyIntermediate
  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

    java, Big Data, DevOps, Operations

    3.5 HoursOnline self studyIntermediate
  9. 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

    Big Data, java, Production, Operations

    5.9 HoursOnline self studyIntermediate
  10. Apache Spark Advanced Topics

    Spark Core provides basic I/O functionalities, distributed task dispatching, and scheduling. Resilient Distributed Datasets (RDDs) are logical collections of data partitioned across machines. RDDs can be created by referencing datasets in external storage systems, or by applying transformations on existing RDDs. In this course, you will learn how to improve Spark's performance and work with Data Frames and Spark SQL. Spark Streaming leverages Spark's language-integrated API to perform streaming analytics. This design enables the same set of application code written for batch processing to join streams against historical data, or run ad-hoc queries on stream state. In this course, you will learn how to work with different input streams, perform transformations on streams, and tune up performance. MLlib is Spark's machine learning library. GraphX is Spark's API for graphs and graph-parallel computation. SparkR exposes the API and allows users to run jobs from the R shell on a cluster. In this course, you will learn how to work with each of these libraries.

    Machine Learning, Operations

    7 HoursOnline self studyIntermediate
  11. 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.

    java, Operations

    3 HoursOnline self studyIntermediate
  12. Big Data Engineering Perspectives

    Big data is a term for data sets so large that traditional data processing applications can not be used to perform any sort of analysis. It is often semi structured or unstructured in form. There are a number of unique challenges that arise when companies begin to use big data. The least of which are the engineering concerns. This course will introduce some of those engineering challenges and describe how some companies have come up with solutions.

    Big Data, Data Visualization

    1.1 HoursOnline self studyIntermediate
  13. 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.

    Big Data, Insurance, Virtual Machine, Telecom, java, Machine Learning, Production, Administration

    40 HoursOnline ClassroomExpert
  14. Big Data and Hadoop Spark Developer

    Big Data has become increasingly popular with the need to analyse large sets of data and big data professionals are in great demand. This course is aimed at providing valuable technical skillsin Big Data and Hadoop for professionals who are seeking real-world experience to deal with big data. This certification course will help learners to be job-ready in the big data industry. With quality online content, this course prepares the candidates with real life projects. The training not only equips the learners with necessary skills in Hadoop but also provides the necessary work experience in the field through real life projects. Candidates can take the advantage of the learning materials and assignments that the course provides.

    Big Data, java, Hadoop Administration, Virtual Machine, Administration, Operations

    60 Hours Online ClassroomIntermediate4278 Students
  15. 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.

    Big Data, Machine Learning, java, Operations

    47 HoursOnline ClassroomIntermediate1107 Students

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