Apache Cassandra is an open source second generation distributed data base released by Facebook. The write write-optimized shared-nothing architecture results in excellent performance and scalability. The master class ring design of Apache Cassandra makes it elegant, easy setup and maintenance.
- Provides Simple Solution for Complex Problems – Cassandra used to provide simple solution for complex problems like Metrics and Logging.
- Learn Easily – Cassandra is the small footprint of Major or Primary Database so easy to learn.
- Fault-Tolerant – Cassandra having many mechanisms for fault tolerance and provides masterless cluster with no single point failure.
- Handle a Large Amount of Data – Cassandra used to handles a large amount of data and operate massive data.
Apache Cassandra an open source distributed database management system. Here are the reasons Why should you learn Apache Cassandra training Chennai.
- Apache Cassandra can handle workloads against multiple data centers with no single failure
- Cassandra – World’s largest website is running over Apache Cassandra
- Number of startup & large companies moving into Cassandra for their next generation computing
- All the top companies started to use Apache Cassandra such as Facebook, Twitter, IBM, Cisco etc
- The job market for Apache Cassandra is in peak at a rate of 300%
- Node — Node is the place where data is stored
- Data Centers – Data Centers are used to collections of nodes
- Clusters – Clusters is the collections of the data centers
- Commit log – It is used to write operations
- Mem-Table – It is memory consistent data structure. After the commit log data will write on Mem-Table
- SSTable – When Mem-table reaches a certain threshold, data is flushed to an SSTable disk file.
Cassandra is an open source and column oriented database. It manages number of data sets and spread out across more servers. Cassandra comes from NoSql database family. Cassandra does not support any server scripting programs and other programming languages like C++, Java etc. MongoDB is an open source and document oriented database. MongoDB also comes from NoSql Database family. Mongodb works on collection and document concepts. Mongodb written in C++ and it supports the server side programs and any other programming languages.
Cassandra Certification Training
Apache Cassandra Certification training helps you to be certified Cassandra administrator. Apache Cassandra Certification really helps you to speak more about Cassandra topics confidently in your interviews. We provide the best Cassandra Certification Training with Placement Assistance which helps you to become a Best Cassandra Developer.
Apache Cassandra Career Path
Cassandra is a popular NoSQL Database now so most of the top MNC companies used Cassandra to manage a large amount of data. A few Cassandra used companies such as Facebook, Twitter, eBay, Apple, IBM, Reddit etc.. so more Cassandra job openings available in the IT industry. For your best Cassandra career get Best Apache Cassandra Training from us and also we provided placement assistance to you which helps to crack the Cassandra interview easily...
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Course Features
- Duration60 hours
- Skill levelAll level
- Batch Strength15
- AssessmentsYes
- Mock InterviewsYes
- Resume BuildingYes
- PlacementsYes
- Flexible TimingYes
- Fee InstallmentsYes
- LanguageTamil/English
Section 1: CURRICULUM INTRODUCTION TO CASSANDRA
- Limitations of RDMS solutions.
- NOSQL databases.
- Common characteristics of NoSQL databases.
- CAP theorem.
- What is Cassandra?
- History of Cassandra.
- Features of Cassandra.
Section 2: INSTALLING CASSANDRA
- Downloading Apache Cassandra distribution
- Preparing the environment – Installing Java , Configuring ports
- Installing Cassandra using package and tarball installation
- What are the main configuration files in Cassandra
- Understanding required directory permissions
- Starting Cassandra and checking status
- Accessing Cassandra log files
Section 3: UNDERSTANDING CASSANDRA DATA MODEL
- Understanding the analogy between RDBMS and Cassandra data model
- Understanding following database elements
- Cluster
- Keyspace
- Column Family/table
- Column
- Understanding Static and dynamic tables
- Understanding the primary key
- Understanding compound primary keys and clustering.
Section 4: UNDERSTANDING CASSANDRA ARCHITECTURE
- Understanding That Cassandra Is a Distributed Database
- Key Cassandra elements
- Memtable
- Commit log
- SSTables
- Learn how Cassandra replicates data
- Learning Gossip protocol – Detecting failures
- Learning What Snitch Is For
- Learning What Gossip Is For
- Learning How Data Gets Distributed
- Learning About Virtual Nodes
- Understanding Write path
- Understanding read path
- Understanding Replication Factor
- Understanding consistency level
- Understanding repair
- Understanding incremental repair
Section 5: CREATING A DATABASE
- Defining a keyspace
- Deleting a keyspace
- Understanding Replication Factor
- Understanding Replication Strategy
- Hands ON/Demo
- Create a keyspace, specify the replication factor and replication strategy while creating keyspace using CQLSH
Section 6: CREATING A TABLE
- Validation Summary
- Required Field Validator
- Compare Validator
- Range Validator
- Regular Expression Validator
- Custom Validator
Section 7: INSERTING DATA IN CASSANDRA
- Using INSERT INTO command
- Using COPY command
- Hands ON/Demo
- Use INSERT INTO command to insert data in table. Use COPY command to insert data.
Section 8: UPDATING AND DELETING DATA IN CASSANDRA
- Update and delete are also inserts
- Updating data
- Understanding tombstones
- Deleting data
- Using TTL
- Updating a TTL
- Hands ON/Demo
- Use UPDATE command to update data. Use DELETE command to delete data. Create expiring columns with TTL.
Section 9: SELECTING HARDWARE
- How to choose appropriate hardware
- Selecting the right balance of the following resources: memory,CPU, disks, number of nodes, and network.
Section 10: ADDING NODE TO CLUSTER
- Understanding Cassandra nodes.
- Specifying seed nodes.
- Bootstrapping a node.
- Adding a node in Cluster.
- Hands ON/Demo
- Create a cluster containing one node. Bootstrap a new node in the cluster
Section 11: REMOVING A NODE
- Decommissioning a node.
- Removing a dead node.
- Putting a node back into service.
- Hands ON/Demo
- Decommission a node from the cluster.
Section 12: REPAIRING NODES
- Understanding repair.
- Understanding read repair.
- What’s new in incremental repair.
- Run a Repair Operation.
- Hands ON/Demo
- Repair a cluster using nodetool utility.
Section 13: BACKUP AND RESTORE
- Creating a Snapshot
- Restoring from a Snapshot
- Hands ON/Demo
- Create backup as part of this hands-on. Restore from the backup to recover data.
Section 14: CONFIGURING SYSTEM AND OUTPUT LOGS
- Configure system.log file.
- Configure cassandra.log file.
- Configure gc.log file.
Section 15: IMPLEMENTING MULTIPLE DATA CENTERS (GEO REDUNDANCY)
- Multi Data Center support in Cassandra.
- Changing snitch type.
- Modifying cassandra-rackdc.properties.
- Changing Replication Strategy.
Section 16: MONITORING THE CLUSTER
- Understanding Cassandra monitoring tools.
- Using Nodetool Utility.
- Using JConsole.
- Learning about OpsCenter.
- Hands ON/Demo
- Use nodetool utility to manage the cluster. Connect JConsole to cluster and monitor JMX statistics.
You will be going through detailed 2 to 3 months of Apache Cassandra Hands-on training
- Detailed instructor led sessions to help you become a proficient Expert in Apache Cassandra.
- Build a Apache Cassandra professional portfolio by working on hands on assignments and projects.
- Personalised mentorship from professionals working in leading companies.
- Lifetime access to downloadable Apache Cassandra course materials, interview questions and project resources.
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