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Bigdata, Hadoop & NoSql Training & Certification Courses

Bigdata, Hadoop & NoSql Training & Certification Courses
Bigdata, Hadoop & NoSql Training & Certification Courses
Bigdata, Hadoop & NoSql Training & Certification Courses

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.

Certifications/ Courses Duration Available Dates Fees starting from
download Cloudera Apache Hadoop Administration 4 20-23 Aug 2018, 27-30 Aug 2018, 1-4 Oct 2018, 5-8 Nov 2018 $ 2,020
download Hadoop Developer with Spark 4 1-4 Oct 2018, 5-8 Nov 2018 $ 2,020
download Apache Kafka 3 1-3 Oct 2018, 5-7 Nov 2018 $ 1,400
download Machine Learning with R 5 10-14 Sep 2018, 15-19 Oct 2018 $ 1,700
download Start with Apache Hadoop 2 3-4 Sep 2018, 1-2 Oct 2018, 29-30 Oct 2018 $ 550
download Hadoop Ecosystem essentials with use case 1 3-3 Sep 2018, 1-1 Oct 2018, 29-29 Oct 2018 $ 940
download Programming with R 5 10-14 Sep 2018, 15-19 Oct 2018 $ 1,740
download Using Oracle NoSQL Database 4 10-13 Sep 2018, 15-18 Oct 2018 $ 1,470
download Introduction to Linux & SQL 6 10-15 Sep 2018, 15-20 Oct 2018 $ 2,040
download Python and Scala Programming 6 10-15 Sep 2018, 15-20 Oct 2018 $ 2,040
Hadoop Ecosystem Overview Training 5 20-24 Aug 2018, 1-5 Oct 2018, 5-9 Nov 2018 $ 1,700
download Advanced Hadoop Administration 2 3-4 Sep 2018, 1-2 Oct 2018, 29-30 Oct 2018 $ 1,500
download Data Science with R 5 20-24 Aug 2018, 1-5 Oct 2018, 5-9 Nov 2018 $ 1,700
Data Science Expert Boot Camp 18 20-24 Aug 2018, 1-5 Oct 2018, 5-9 Nov 2018 On Request
Data Science Career Enabler 72 20-24 Aug 2018, 1-5 Oct 2018, 5-9 Nov 2018 On Request
download Data Science with SparkML 3 20-24 Aug 2018, 1-5 Oct 2018, 5-9 Nov 2018 $ 1,400
download Hadoop Data Ingestion techniques 5 10-14 Sep 2018, 15-19 Oct 2018 $ 1,700
Career Enabler™ : Mastering Apache Hadoop 0 10-14 Sep 2018, 15-19 Oct 2018 On Request
download Introduction to Apache Kudu 3 3-5 Sep 2018, 1-3 Oct 2018, 29-31 Oct 2018 $ 1,400

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

What is the difference between Big Data and Hadoop?

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.

Why Big Data is so important?

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.

What are the skills required for Big Data?

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

What are Big Data tools and technologies?

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

Which database is used for Big Data?

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.

Which is the best Big Data certification?

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

What is the use of spark in Big Data?

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.

What is Big Data certification cost?

The exam cost for Big Data certification ranges from $150 to $250, depending upon the certification that one chooses.

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