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Big Data Courses, Certification & Training in Chandigarh

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As the name suggests, big data refers to data sets that are huge and complex, which cannot be usually analysed using traditional methods. Big data has helped businesses in improving their process efficiency, providing better customer experience, transforming their outlook, and outperforming their competitors.

Naukri Learning provides various online big data certification courses designed in such a way that it provides maximum value for money. Other certifications which are in high demand are Hadoop Administration, Data Scientist, Machine Learning and Business Analytics.

Benefits of Big Data

Following points will give you a run down on the major benefits of big data:
• With big data, businesses can easily get the answer to the biggest question, “what do customers want?”
• Organisations can get ahead of their competitions as it enables them to understand the market conditions better.
• It is easier to monitor online reputation through big data and act fast when there are any negative feelings in the online community. This will help in building a solid brand image.
• Top management will be able take better decisions as it helps in getting the essential information that couldn’t have been analysed using traditional methods.

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Companies want skilled professionals who can wrangle the huge amount of available data and use it to find hidden insights. Some of the reasons why you should go for a big data certification are:
• Based on a Naukri survey, 67% of the recruiters mentioned that they prefer certified candidates and are also willing to pay higher.
• You can enjoy benefits like better job opportunities, career growth and better salary as comparable to the other data related jobs.
• You can become a part of a significant technology movement which is going to shape how businesses work in the future.
• A certification helps interviewers understand that your big data knowledge is at par with the industry standards.
• You will learn the various techniques and tools associated with big data analysis.

Anyone with a basic knowledge in statistics and programming can go for it. Professionals from the below-mentioned profiles can easily move to a big data profile:
• Mathematics, statistics and engineering graduates
• Business Intelligence professionals
Software Engineers
• Test Analysts
Data Analysts
• Project Leads/Project Managers

Key Skills

• Fundamental statistical and quantitative analytical knowledge.
• Experience in any programming language like R, Python, Java or Scala.
• Hands-on experience in Hadoop and its popular modules like Hbase, Pig, Flume, Hive, Impala, Spark, Storm, etc.
• Knowledge of database management systems and querying language like NoSQL.

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Career Outcomes

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Related Career Options

Big Data Developer

Big data developers are proficient in core scripting languages and responsible for the actual coding or programming of big data applications. They dea...

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Big Data Architect

A Big data architect is trained to describe the structure of a big data solution. He/she is responsible for planning next generation big data systems ...

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Data Analyst

Data analyst is someone whose focus of problem solving and analysis relates to types of data and relationships between data elements in an IT system. ...

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Hadoop Administrator

A Hadoop administrator is someone who manages and administers Hadoop clusters and all other resources in the entire Hadoop ecosystem. He/she is respon...

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IT Security Specialist

An IT Security Specialist is a professional who has expertise in a computer network or IT infrastructure security. The person is responsible for desig...

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  1. 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
    Course Selling Partner
  2. Big Data Engineering Training Course

    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. | Big Data Engineering 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

    101 Students
    1 HourOnline self studyIntermediate
    $ 133 Enquire Now

    Big Data

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  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.

    Course Selling Partner
  4. 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.

    8122 Students
    40 Hours Online self studyIntermediate
    $ 234 Enquire Now

    Big Data, Machine Learning, , Law, Operations

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  5. Big Data and Machine Learning Prodegree

    The Big Data and Machine Learning Prodegree, in association with IBM as the EdTech Partner, is a first-of-its-kind 160-hour certification course providing in-depth exposure to Data Science, Big Data, Machine Learning and Deep Learning. The rigorous industry-aligned curriculum offers a comprehensive understanding of Python, Spark and Hadoop for careers in Machine Learning and Big Data. The program also features seven industry projects and periodic interaction with industry leaders in the Machine Learning Ecosystem.

    140 HoursOnline ClassroomIntermediate
    ₹ 80,000 Enquire Now

    Big Data, Machine Learning, Data Analysis,

    Course Selling Partner
  6. Big Data Hadoop Expert

    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.

    Course Selling Partner
  7. Big Data Hadoop & Spark Developer

    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.

    Course Selling Partner
  8. 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
    $ 61 Enquire Now

    Operations,

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  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

    Course Selling Partner
  10. 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

    Course Selling Partner
  11. 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.

    Course Selling Partner
  12. 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.

    3 HoursOnline self studyIntermediate
    $ 112 Enquire Now

    Big Data, , Cloud Computing

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  13. 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.

    7 HoursOnline self studyIntermediate
    $ 70 Enquire Now

    Machine Learning, , Operations

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  14. 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
    $ 61 Enquire Now

    Operations,

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  15. 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.

    1.1 HoursOnline self studyIntermediate
    $ 61 Enquire Now

    Big Data, , Data Visualization

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner

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