Since 1993
Since 1993
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.
| Cloudera Apache Hadoop Administration |
|
4 Days | Online : ₹ 149,100 (Includes Taxes) | ||
| Using Oracle NoSQL Database |
|
On Request | On Request | ||
| Apache Kafka |
|
On Request | On Request | ||
| Apache HBase |
|
On Request | On Request |
| Student Name | Country | Month | Feedback | Rating |
|---|---|---|---|---|
| Toshko Vasilov | United States | Oct-2020 | to provide better experience on practice side, lab was too much slow | |
| Chetan Divani | United States | Feb-2020 | A2. the feedback mechanism , complete package for students and good environment. | |
| Amol Vasudev Palav | United States | Feb-2020 | A2. Koenig is indeed good with center facilities like student canteen, co-ordination with students, feedback etc but for Indian students course price is way too much. Course are almost 3x times more costly than other institutes considering the fact that we are not paying in dollars, it's indeed expensive. I opt-in for unofficial course, lab facility I got was dead slow, just to restart my Hadoop cluster it was taking 7-8 minutes which is wastage of time esp when you have ~900 slides to cover. On the top of that I was not even getting week of lab access after the course in case I want to cover those exercises by myself as my internal labs were slow. | |
| Mohamed Ahsan | United States | Dec-2019 | A3. sure | |
| Rohit Pandey | United States | Nov-2019 | A2. Believe in long term relationship | |
| Sreenivas Chowdarapu | United States | Oct-2019 | A1. Well prepared and presented with real life examples. Content is bit vast to cover in 4 days. May consider extending the duration by a day. | |
| Tapan Aggarwal | United States | Aug-2019 | A1. Trainer was good, explained the topics clearly. | |
| Ashok Bhimsing Sodha | United States | Jul-2019 | A1. Good exposure with different training | |
| Bhavya Aggarwal | United States | Jun-2019 | A3. Yes | |
| Hardip Singh Parmar | United States | Jul-2019 | A1. Have good knowledge for the training module, if we can get some additional real scenarios walk through on performance and troubleshooting then it will be best. | |
| Sameer Shembavnekar | United States | Jul-2019 | A1. The training was satisfactory and would recommend to rest interested audience. Regarding the instructor, he was quiet helpful and co-operative ,from his end he shared the training material as well as his own material he prepared when I requested for. | |
| Seema Katakkar | United States | Jun-2019 | A2. Good food, facility is OK. Person coming to check and know if everything is okay or not and is there anything that an be improved was a good initiative | |
| Aparna Rajamani Vasudevan | United States | May-2019 | A1. Trainer is technically strong and clear and able to deliver the training in clear organized way. | |
| Hikmat Saud | United States | May-2019 | A1. Its been wonderful experience taking training with AKASH ; his excellency in subject matters makes my leaning outstanding. Now my journey for BIG DATA HADOOP training has comes to the final day , under the supervision of expert trainer like Akash , now i can say i have developed good foundation and deep understanding of the topic.I am so lucky to have a trainer who inspires and make my learning better every day to be better than the day before. Thank you very much Akash for your priceless teaching. | |
| Rama Krishna Yechuri | United States | May-2019 | A3. simple words Good. |
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.
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.
Upon completion of the course, you will be able to:
Big Data Hadoop Certification in Delhi | Big Data Hadoop Certification in Bangalore
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.
