Bigdata, Hadoop & NoSql Training & Certification Courses

Overview


Koenig Solutions offers Big Data Hadoop training courses that provide an in-depth knowledge of the 5 V’s of Big Data – Volume, Velocity, Variety, Variability, and Veracity. Big Data Analytics takes into account exabytes and petabytes of data and provides solutions to deal with the rapid flow of such huge amounts of data. Big Data training and certification course is mapped to the Big Data Analytics certification course and includes Hadoop Data analyst training course. Students will also be trained on NoSQL and various features of Big Data Hadoop. You can choose to opt for Start with Apache Hadoop, Apache Hadoop Data Analyst, Career Enabler™: Mastering Apache Hadoop, and Hadoop Ecosystem Essentials with Use Case.

With Koenig's Online training solutions you can study from the comfort of your home at times that suit you. Koenig's unique 1-on-1 methodology, you can Start Training from Any Date for training including 4-8 hours time slots and weekends. All courses are Guaranteed to Run and come with an Guaranteed Exam Passing Assistance.

E: Exam Included.
† 1-on-1 training (private class) – convenient start time, flexible timings.

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Who should do Big Data & Hadoop Training and Certification Courses? Information Technology Managers Data Scientists Data Architects Data Warehousing Professionals Business Analysts Database Administrators Why learn Big Data and Hadoop? The demand for Big Data and Hadoop is on a constant rise. Needless to say, Hadoop is one of the most cost-effective and efficient Open Source substitutes for Big Data management suites. Hence, Hadoop cannot be ignored if you wish to make it big in Big Data. The Big Data market is expected to grow manifold as a lot of organizations are increasingly adapting to Big Data and Hadoop technologies for new market opportunities. Therefore, being proficient in Big Data and Hadoop provides better career opportunities and lets you earn big bucks. How will Big Data Training help your career? Career Opportunities for Big Data professionals are constantly emerging across all verticals as it is now being considered as a critical component of business performance. Employers across organisations are looking for professionals who can interpret and analyse data accurately and effectively. The problem lies in the availability of Big Data professionals. Though the demand is on a rise, the supply remains low. This high demand enables professionals with apt skills to bag higher salaries. What are the objectives of Big Data, Hadoop & NoSQL Courses? Upon completion of the course, you will be able to: Identify technological developments pertaining to analytics, data warehousing, business intelligence and Big Data. Understand how technologies such as Hadoop and NoSQL will help you create new opportunities for your organisation Design Agile data business intelligence systems Embed Big Data and analytics into your already existing business intelligence designs ;

FAQ's

Ans - No, the published fee includes all applicable taxes.

Big Data is a term given to large volumes of data pertaining to an organisation used to carry on operations and achieve certain goals. Hadoop is one of the tools designed to handle Big Data. Hadoop along with other software products analyses Big Data searches via appropriate algorithms and methods.

Big Data enables organisations to analyse the data and harness its potential. With the appropriate use of Big Data, organisations can identify smarter business moves, carry out more efficient operations and churn higher profits. Big Data technologies also help in cost reduction and enable organisations to introduce new services and products keeping in mind the customers needs. It further benefits organisations by making them understand the customer better and allowing them to control the overall reputation.

Skills required for a Big Data professional are listed below: 1. Knowledge of any programming language (Python is recommended) 2. Quantitative skills 3. Ability to interpret data 4. Experience with relational and non-relational database systems 5. Good understanding of business

Some of the tools and technologies used are listed below: 1. Apache Hadoop 2. NoSQL 3. Microsoft HDInsight 4. Hive 5. Cloudera 6. OpenRefine

Big Data systems are often called NoSQL databases as they do not rely on SQL query language used by RDBMS. NoSQL databases are majorly categorised into document, key/value, graph, big table, and time series among others. These databases help in increasing scalability and reducing costs. They also enable faster and more agile development, increased performance of organisations and high availability of database to get ahead with the read and write demands of the Big Data applications.

There are many recognised Big Data certifications that one can opt from. 1. Amazon Big Data Specialty Certification 2. Cloudera Certifications 3. MCSE: Data Management and Analytics 4. SAS Big Data Certifications 5. Microsoft Azure Certification Exam 70-475 6. Oracle Business Intelligence

Spark is an open source Big Data processing engine built around speed, ease of use and analytics. It comes with elegant development APIs to enable professionals to implement streaming, machine learning or SQL workloads requiring fast iterative access to datasets.