Cloudera Certification and Training Courses

Yes, fee excludes local taxes.

Data science deals with everything that is related to data management such as data processing, structuring, organizing, analysis etc. Big Data is a term given to large volumes of data that requires management. It refers to both structured and unstructured data. Managing such data sets is not possible with old traditional applications that exist.

Certifications catering to big data management paves way for vivid career profiles. Cloudera certifications are industry recognised and accepted globally. One can vouch for roles such as Data Analyst, Hadoop Developer and System Administator. Salaries at the entry level on an average are around $55,754 per annum.

Data architects are professionals who practice an IT discipline associated with designing, creating and managing the respective organisation’s database.

Cloudera certifications help you find better jobs with high salaries. These courses also make professionals eligible for salary hikes and promotions.

The terms Data Analyst and Business Analyst are often used interchangeably. Though, the roles assigned to a Business Analyst are more as compared to a Data Analyst. A business Analyst analyses data and assess entire business requirements of an organisation whereas a data analyst focuses only on an organisation’s database.

Yes, it is entirely worth it to go for Cloudera certification training. Today, enterprises are in the midst of utilizing data available to create and deliver products that are needed by the customers and one that meets the market trend. Participants usually choose the easy way out by considering courses from MOOCs such as Coursera, Udemy, Udacity, and others. But, nothing beats the more traditional formal instructor-led training while learning the Cloudera-based domains that include Hadoop, Apache, Spark, and others. Koening Solutions is an accredited Cloudera Training Partner to deliver their certification training for both professionals and enterprise teams worldwide.

• Apache Hadoop ecosystem and how it fits in with the data processing lifecycle
• Data distribution, storage, and process within a Hadoop cluster
• Writing, configuring, and deploying Apache Spark applications on a Hadoop Cluster
• Understanding to use Spark shell and Spark applications 
• Understanding query data by using Spark SQL and Datasets
• Using Spark Streaming to process live data stream 

The Cloudera Apache Hadoop Administration Training course is best suited to system administrators and IT managers with basic Linux experience. The course does not require prior knowledge of Apache Hadoop, just a strong willingness to learn.

The course is offered in both group training and one on one training options. Classroom training options are available in select cities. The Koenig-Solutions website offering the course offers a calendar for you to pick dates at both the convenience of an instructor and yourself.

• Introduction to Hadoop and HBase
• HBase Tables
• HBase Shell
• HBase Architecture Fundamentals 
• HBase Schema Design
• Basic Data Access with the HBase API
• More Advanced HBase API Features 
• HBase Write Path 
• HBase Read Path
• HBase Performance Tuning 
• HBase Administration and Cluster Management 
• HBase Replication and Backup
• Using Hive and Impala with HBase 
• Conclusion (consisting of Appendix A: Accessing Data with Python and Thrift and Appendix B: OpenTSDB) 

Yes, Koenig Solutions is an accredited Cloudera Training Partner to deliver their certification courses globally.

• One, prepare on your own by going through various online free learning modules without expert instructor sessions and going through different online reference materials.
• Two, to be part of an instructor-led Cloudera training course from an accredited Cloudera Training Partner such as Koenig Solutions, where you get:
• Pre-reading material
• Option to clear your doubts with the trainer in-person or live online
• Get accredited resources from both Koenig solutions and Cloudera 
• Clear your certification exam on the first attempt