Apache Cassandra

Course Information

  • Weekdays Course (Monday-Thursday) Duration: 4 Days
  • Weekend Course
    (
    Sat & Sun)
    Duration: 2 Weeks
  • Study Modes: (Classroom/Virtual/OnSite)
  • What is included:
    instructor-led hands training,
    passing guarantee or free retraining, Lab access during the course, Course Material
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From £1300

Interest Free Available

Enquire Now

Course Insight

Our Apache Cassandra training course will help you understand the basics of Apache Cassandra including its features and purposes. The content of this training course will start with the basics of Cassandra including the requirement of the system and the ways to access the working files from the virtual machine. You will learn about how the data gets distributed over the virtual nodes and the data replication process. Later, you will learn how to deploy Cassandra in a machine by following the proper installation processes. Here, this Apache Cassandra training course will help you configuring the permission for Cassandra by accessing the System.log file. Next, you will know and learn about the process of creating a database including the processes of defining and deleting a keyspace on Cassandra.

Gradually, this Apache Cassandra training course will let you learn about the process of creating a table, defining data types, primary key and columns, reorganize the ways of clustering order and the ways of inserting and storing data. Then, you will learn how to define both the Primary and Secondary index in order to model the data and creating an application on Cassandra using high-level programming language like java. Here, you will learn about the query process, connecting methods for Cassandra cluster and the ways of configuring the development environment.

Prerequisites

The Data Science and Big Data Analytics course gives down to earth establishment level preparing that empowers prompt and successful interest in Big Data and different Analytics ventures. It incorporates a prologue to Big Data and the Data Analytics lifecycle to address business challenges that influence Big Data. The course gives establishing in essential and progressed systematic techniques and a prologue to Big Data Analytics innovation and instruments. Lab sessions offer chances to see how these strategies and devices might be connected to true business challenges by a rehearsing Data Scientist. This course gives an industry accreditation to business investigators, information distribution center specialists or different experts with comparative foundations to help them change into the universe of Data Science and Big Data Analytics that has extraordinary difficulties and opportunities.

What will you gain after this course

The Data Science and Big Data Analytics course gives down to earth establishment level preparing that empowers prompt and successful interest in Big Data and different Analytics ventures. It incorporates a prologue to Big Data and the Data Analytics lifecycle to address business challenges that influence Big Data. The course gives establishing in essential and progressed systematic techniques and a prologue to Big Data Analytics innovation and instruments. Lab sessions offer chances to see how these strategies and devices might be connected to true business challenges by a rehearsing Data Scientist. This course gives an industry accreditation to business investigators, information distribution center specialists or different experts with comparative foundations to help them change into the universe of Data Science and Big Data Analytics that has extraordinary difficulties and opportunities.

JOBS YOU CAN GET WITH A APACHE CASSANDRA CERTIFICATION
  • Cassandra DBA Expert
  • Data Architect – Cassandra
  • Cassandra Admin
  • Cassandra DBA with Oracle
  • Big Data Engineer
Corporate Group Training
  • Customized Training
  • Onsite / Virtual
  • Instructor-led Delivery
  • For small to large groups

Dates & prices

This is an On-Demand course. Please call us on 02085347556 to arrange the training as per your requirement.

Course Contents

  • Distributed and Decentralized
  • Elastic Scalability
  • High Availability and Fault Tolerance
  • Tuneable Consistency
  • Brewer’s CAP Theorem
  • Row-Oriented
  • Schema-Free
  • Understanding SharePoint 2013 Deployment and Execution Models
  • Large Deployments
  • Lots of Writes, Statistics, and Analysis
  • Geographical Distribution
  • Evolving Applications
  • Running Cassandra
  • Starting the Server
  • Running the Command-Line Client Interface
  • Basic CLI Commands
  • Hands-on Session
  • Columns
  • Wide Rows, Skinny Rows
  • Column Sorting
  • Composite Keys
  • System Keyspace
  • Peer-to-Peer
  • Gossip and Failure Detection
  • Anti-Entropy and Read Repair
  • Memtables, SSTables, and Commit Logs
  • Hinted Handoff
  • Bloom Filters
  • Tombstones
  • Hands-on Session
  • Basic Client API
  • Thrift
  • Avro
  • Hands-on Session
  • Setup and Inserting Data
  • Using a Simple Get
  • Hands-on Session
  • What Is Hadoop?
  • Working with MapReduce
  • Cassandra Hadoop Source Package
  • Running the WordCount Example
  • Outputting Data to Cassandra
  • Hadoop Streaming
  • Hands-on Session
  • Pig
  • Hive
  • Cassandra Hadoop Source Package
  • Running the WordCount Example
  • Outputting Data to Cassandra
  • Hadoop Streaming
  • Hands-on Session
  • Tools Above MapReduce

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