Big Data & Hadoop Courses, Certification & Training by Koeing solutions
- Courses (43)
Why should you do?
Who should do?
The certification in big data and Hadoop is designed to provide in-depth skills encompassing Hbase, Flume, MapReduce, HDFS and YARN. Big data is emerging as one of the most important technologies in today’s business environment. These technologies are vital in offering more accurate analysis which can lead to more real-life examples following reduced risks for the business, greater operational efficiencies and cost reductions. This is an industry recognized certification program that can help you to gain the most-sought after technical skills.
Naukri Learning courses helps you brush up your analytical skills through an implementation of real life industry projects so that you are good on your big data and Hadoop learning path. Moreover, it gives you the required experience to meet the current and upcoming challenges in IT.
A lot of organizations from different domains are recognizing the potential of big data and Hadoop and are opening numerous job opportunities for the big data and Hadoop practitioners who have certifications to prove their mettle. A certification course confirms that an aspirant has a knowledge of the most recent big data and Hadoop highlights and is helpful to help the candidate reach newer heights in career. Other reasons to opt for this certification are:
• Offers an edge over other experts in the same domain
• Authenticates your hands-on experience with big data
• Accelerates your career
Anyone who wants to dig into the data with a knowledge of any programming language like C, Linux, Java or Python & Machine Learning will be an added advantage. This online training program is a stepping stone for the people who aspire to make it big in big data and can get a superb opportunity to work on a data-set of their own choice. Big data and Hadoop practitioners are among the highest paid IT professionals and the demand for them is growing all over the world. Here are some of the professionals who are enjoying the maximum benefits from Big Data certification.
• Senior IT professionals
• Data Management professionals
• Project managers
• Analytics professionals
• Aspiring data scientists
• Software engineers
- □ • Hadoop engineer
• Big data engineer
• Data mining engineer
• Competitive intelligence analyst
• Database administrator
Cloudera, Hortonworks, IBM are the top Big Data training providers. Though there is no standard exam for Big Data, most of the Big Data certification exam would cover these topics -
- Map Reduce 2 (Practice)
- MR API
- Hadoop Streaming (developing and debugging non Java MR program s Ruby and Python)
- MR algorithm s (Non graph)
- Big HDFS (The Hadoop Distributed File System
- How to think in a MapReduce way?
- MapReduce Architecture
- MR Algorithm and Data Flow
- MR algorithms (Graph )
- Higher Level Abstractions for MR (Pig)
The certification can be taken online or through a formal class room program and the fees generally range15-25K.
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 Students36 HoursOnline ClassroomIntermediate$ 499 Enquire NowCourse Selling Partner
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 candidates101 Students1 HourOnline self studyIntermediate$ 133 Enquire NowCourse Selling Partner
Hadoop training course offers aspirants knowledge in all the steps essential to maintain a Hadoop cluster from installation, planning and configuration. Cloudera University renders the training you need to drive big data strategy from Apache Hadoop implementation and cluster monitoring through massive speed and advanced security. The training will provide hands-on preparation for challenges faced by Hadoop administrators.Course Selling Partner
Big data, in simple terms, refer to the huge amount of data set that cannot be usually analysed using traditional methods. Hadoop is an open source, Java-based programming framework that supports the processing and storage of extremely large data sets in a distributed computing environment. | This Collabera Big Data and Hadoop Admin course offers in-depth knowledge and skills to candidates on provisioning, installing, configuring, monitoring, maintaining and securing Hadoop and Hadoop Eco system components | The course offers best-in-the-industry online learning modules that has been designed by subject matter experts | It offers a comprehensive coverage on topics related to big data and Hadoop administration | Candidates are awarded a course-completion certification85887 Students48 HoursOnline ClassroomIntermediate$ 399 Enquire NowCourse Selling Partner
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.56 HoursOnline self studyExpert$ 402 Enquire NowCourse Selling Partner
Hadoop training course offers aspirants knowledge in all the steps essential to maintain a Hadoop cluster from installation, planning and configuration. Cloudera University renders the training you need to drive big data strategy from Apache Hadoop implementation and cluster monitoring through massive speed and advanced security. The training will provide hands-on preparation for challenges faced by Hadoop administrators.32 HoursClassroomExpert$ 1,171 Enquire NowCourse Selling Partner
Hadoop, a part of Apache Software Foundation, is an open-source, Java-based programming framework that supports processing and storage of large data sets. | This Hadoop Administration course offers training to candidates on skills required to manage and maintain Hadoop clusters | The course has been developed by expert professionals and is aimed to providing the learners with the knowledge to become successful Haddop Administrators | It covers various areas like Hadoop architectures, its components, and monitoring and troubleshooting a Hadoop cluster | A course certification will provided to the candidates and will help in boosting the career of the candidates743 Students30 HoursOnline self studyIntermediate$ 245 Enquire NowCourse Selling Partner
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 Students28 HoursOnline self studyIntermediate₹ 16,287 10% OFF ₹ 14,658 Enquire NowCourse Selling Partner
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₹ 16,287 10% OFF ₹ 14,658 Enquire NowCourse Selling Partner
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 Students40 Hours Online self studyIntermediate$ 234 Enquire NowCourse Selling Partner
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₹ 5,147 10% OFF ₹ 4,632 Enquire NowCourse Selling Partner
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.29.5 HoursOnline self studyIntermediate$ 70 Enquire NowCourse Selling Partner
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.26 HoursOnline self studyIntermediate$ 70 Enquire NowCourse Selling Partner
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 NowCourse Selling Partner
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 NowCourse Selling Partner
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