Tekslate basically offers the online instructor-led training. Apart from that we also provide corporate training for enterprises. All our trainers come with over 12 years of industry experience in relevant technologies and also they are subject matter experts working as consultants.

Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics of Secondary index Hbase. Tekslate also verifies their technical background and expertise.

We record each LIVE class session you undergo through and we will share the recordings of each session/class.

If you have any queries you can contact our 24/7 dedicated support to raise a ticket. We provide you email support and solution to your queries. If the query is not resolved by email we can arrange for a one-on-one session with our trainers. The best part is that you can contact Tekslate even after completion of training to get support and assistance. There is also no limit on the number of queries you can raise when it comes to doubt clearance and query resolution.

You will work on real world flume Hbase projects wherein you can apply your knowledge and skills that you acquired through our training. We have multiple projects that thoroughly test your skills and knowledge of various aspect and components making you perfectly industry-ready. These projects could be in exciting and challenging fields like banking, insurance, retail, social networking, ecommerce, marketing, sales, high technology and so on.

Our Trainers will provide the Environment/Server Access to the students and we ensure practical real-time experience and Hbase Online training by providing all the utilities required for the in-depth understanding of the course.

If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.

The Hbase Online Training itself is Real-time Project Oriented.

Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.

There are some Group discounts available on the Hbase Training Cost if the participants are more than 2.

As we are one of the leading providers of Online training, We have customers from:

Online Hbase Training in USA:

• New York, Los Angeles, Chicago, Houston, Phoenix, Philadelphia, San Antonio, San Diego, Dallas, San Jose, Austin, Jacksonville, San Francisco, Columbus, Indianapolis, Fort Worth, Charlotte, Seattle, Denver, El Paso, Washington, Boston, Detroit, Nashville, Memphis, Portland, Oklahoma City, Las Vegas, Louisville, Baltimore, Milwaukee, Albuquerque, Tucson, Fresno, Sacramento, Mesa, Kansas City, Atlanta, Long Beach, Colorado Springs, Raleigh, Miami, Virginia Beach, Omaha, Oakland, Minneapolis, Tulsa, Arlington, New Orleans, Wichita, Cleveland, Tampa, Bakersfield, Aurora, Honolulu, Anaheim, Santa Ana, Corpus Christi, Riverside, Lexington, St. Louis, Stockton, Pittsburgh, Saint Paul, Cincinnati, Anchorage, Henderson, Greensboro, Plano, Newark, Lincoln, Toledo, Orlando, Chula Vista, Irvine, Fort Wayne, Jersey City, Durham, St. Petersburg, Laredo, Buffalo, Madison, Lubbock, Chandler, Scottsdale, Glendale, Reno, Norfolk, Winston–Salem, North Las Vegas, Irving, Chesapeake, Gilbert, Hialeah, Garland, Fremont, Baton Rouge, Richmond, Boise, San Bernardino.

Popular cities of Canada, like:

• Toronto, Montreal, Vancouver, Edmonton, Hamilton, Ottawa, Calgary, Ontario, Qubec etc

Online Hbase Training in India:

•  Hyderabad, Bangalore, pune,  Delhi, Mumbai.

Along with it, we also prevail our valuable online training in the places of UK, Australia, India and other parts of the world

• Tekslate services are Student-centered learning.
• Qualitative & cost effective learning at your pace.
• Geographical access to learn from any part of the world.

Understanding the basics

Hbase is a data model alike to Google’s big table that is build to provide random access to high volume of structured or unstructured data. It is an important component of the Hadoop ecosystem that leverages the fault tolerance feature of HDFS. It provides real-time read or write access to data in HDFS.  HBase can be referred to as a data store instead of a database as it misses out on some important features of traditional RDBMs like typed columns, triggers, advanced query languages and secondary indexes.

Hbase Data Model

Hbase Data model stores semi-structured data having different data types  varying column size and field size. The layout of HBase data model eases data partitioning and distribution across the cluster.

HBase data model consists of several logical components- row key, column family, table name, timestamp, etc. Row Key is used to uniquely identify the rows in HBase tables. Column families in HBase are static whereas the columns, by themselves, are dynamic.

• HBase Tables – Logical collection of rows stored in individual partitions known as Regions.
• HBase Row – Instance of data in a table.
• RowKey –Every entry in an HBase table is identified and indexed by a RowKey.
• Columns – For every RowKey an unlimited number of attributes can be stored.
• Column Family – Data in rows is grouped together as column families and all columns are stored together in a low level storage file known as HFile.

Components of Apache HBase Architecture

Hbase Architecture has 3 Components. H-Master, region server and Zookeeper.

 i.H-Master

HBase HMaster is a lightweight process that assigns regions to region servers in the Hadoop cluster for load balancing. There are some responsibilities:

• Manages and Monitors the Cluster.
• Performs Administration.
• Controlling the Failover.
• Whenever a client wants to change the schema and change any of the metadata operations, HMaster is responsible for all these operations.

ii. Region Server

Region server runs on HDFS. It runs on every node in Hadoop Cluster. These are the worker nodes which handle read, write, update, and delete requests from clients. It Consists of following Components:

• Block Cache – This is the read cache. Most frequently read data is stored in the read cache and whenever the block cache is full, recently used data is evicted.
• MemStore- This is the write cache and stores new data that is not yet written to the disk. Every column family in a region has a MemStore.
• Write Ahead Log (WAL) is a file that stores new data that is not persisted to permanent storage.

iii. Zookeeper

ZooKeeper is a centralized monitoring server that maintains configuration information and provides distributed synchronization. Whenever a client wants to communicate with regions, they have to approach Zookeeper first.

ZooKeeper service keeps track of all the region servers that are there in an HBase cluster- tracking information about how many region servers are there and which region servers are holding which DataNode. HMaster contacts ZooKeeper to get the details of region servers. Various services that Zookeeper provides include –

• Establishing client communication with region servers.
• Tracking server failure and network partitions.
• Maintain Configuration Information
• Provides ephemeral nodes, which represent different region servers.