|Course or Certification Name||Category||Location||Mode of learning|
|Big Data Hadoop Architect Masters Program||Hadoop Administration||Online Classroom|
|Big Data and Hadoop Developer||Big Data||24/7 Anywhere||Online self study|
|Big Data Hadoop Expert Program - Online Classroom||Big Data||Online Classroom|
|Collabera Big Data and Hadoop Developer||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Certified Big Data Engineering Professional||Big Data||24/7 Anywhere||Online self study|
|Big Data Hadoop Solutions Architect Masters Program||Hadoop Administration||Online Classroom|
|Big Data and Hadoop Developer Online Certification Training||Big Data||24/7 Anywhere||Online self study|
|Big Data Fundamentals||Big Data||24/7 Anywhere||Online self study|
|Big Data Strategic Planning||Strategic Management||24/7 Anywhere||Online self study|
|Big Data Corporate Leadership Perspective||Leadership||24/7 Anywhere||Online self study|
|Big Data Engineering Perspectives||Big Data||24/7 Anywhere||Online self study|
|Big Data - The Legal Perspective||Business Law||24/7 Anywhere||Online self study|
|Big Data Marketing Perspective||digital marketing||24/7 Anywhere||Online self study|
|Big Data Sales Perspective||Sales Management||24/7 Anywhere||Online self study|
|Big Data and Hadoop Spark Developer||Big Data||Online Classroom|
Big Data Hadoop Architect Program is a certification course that would help you build strong skill set in areas like Hadoop Development, Real time processing using Spark, and NoSQL database technology and transform you into a Hadoop Architect Expert. You would also be gain practical experience by implementing real life industry projects in the required Hadoop technologies.
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.
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.
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, 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
Designed to make certain that you change into a Hadoop Architect master, Big Data Hadoop Masters Program is a structured learning program recommended by famous industry experts. This certification includes real life projects that let you work through technical challenges connected with Hadoop Administration. When you complete the requirement of the course, you will get master certificate from Naukri learning certifying that you have gained the knowledge of Big Data Hadoop Solutions Architect. You will get knowledge in designing, maintaining and deploying Hadoop clusters and Nosql database technologies.
This course on Big Data and Hadoop Development is very useful to acquire knowledge and sharpen skills for Hadoop development. Comprising of introduction to the Big Data Eco System, its requirement in todays environment and its applications, it also focuses on Hadoop Architecture, MapReduce frameworks, initiating with installations along with discovering technologies such as Pig, Hive, HBase, ZooKeeper, Oozie, and Flume. For verifying the knowledge gain, the course consists of multiple assignments, quizzes and a project at the end. Professionals successfully concluding the project accomplishes the certifications
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.
In order to adopt Big Data, senior leadership must be able to establish investment priorities, balance speed and cost, and ensure acceptance by the front line. But they must also build a plan based on data, analytic models, and tools. In this course, you will compare scaling up to scaling out, identify different analytical models, and learn how to secure funding for data initiatives.
Big data leaders must have skill sets that differ from what leaders of the past had. They must be able to show how big data generates value; how investments in big data initiatives should be targeted; and how fast the organization should move to implement them. In this course, you will learn how to create a governance strategy, examine security concerns, and realize how this will impact human resources.
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.
By proactively dealing with privacy issues, organizations can safely leverage Big Data while still retaining customers, and avoiding reputational harm, litigation, and regulatory scrutiny. In this course, you will examine privacy concerns, how data can be used ethically, and what to do about social media.
Big data dramatically impacts all aspects of business culture. Companies need to evolve from their traditional methods and practices to be able to use big data to improve their organization. In this course we will examine the impacts of big data from the marketing perspective. we will look at how the mobile effect has changed marketing, how purchasing habits have changed and what impact datafying consumer behavior has done.
Big Data allows salespeople to adopt data-driven methodologies to target high-value prospects rather than relying on relationships and other soft factors to target and close business deals. In this course, you will learn the difference between big data and data science. You will take a look at different algorithms and technology accelerators.
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.