As big data sweeps the world there has been a growing need for databases that provide scalable and flexible storage solutions. NoSQLs are the answer to this and among the most popular NoSQLs is Cassandra helping organizations handle complex web applications and data proliferation. This course will help you master Apache Cassandra and take up industry challenges with success.
The NoSQL market is expected to reach $4.2 Billion globally by 2020. Cassandra holds a major share of this market due to its open source nature, peer to peer architecture, elastic scalability, high availability and performance and fault tolerance. This course will introduce you to the fundamentals of Cassandra, and with hands-on exercises you will go from learning about the basics to the more advanced concepts such as Cassandra Data models, Architecture, configuration, read and write data and integration with Hadoop.
Enrol now and make most use of the popularity of this technology to make a high profile career.
How and where to use Cassandra and the core concepts that drive this database
Learn how to use the fault-tolerant and high availability feature of Cassandra
Understand the Apache Cassandra architecture
Understand complex inner workings such as gossip protocol, read repairs and Merkle trees
Identify requirements and create a Cassandra data model by applying data modelling techniques
Integrate Cassandra with Hadoop and use tools like Pig and Hive
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Get introduced to Apache Cassandra and some of its design considerations and components and learn about various use cases of Cassandra.
Install and configure Cassandra. Build your own local, single-node cluster. Learn about CCM with some basic commands with Cassandra's nodetool.
Learn to run Command-Line Client Interface, connect to a server. Also, learn about the relational data model, design differences between RDBMS and Cassandra.
Run Command- Line Client Interface. Read and write data.
Learn to configure a data model.
Configure a data model using Token calculation, node tool, validators, comparators.
Learn about the concepts that influenced Cassandra's design and use. Understand Brewer's CAP theorem data-distribution and partitioning; Cassandra's read and write paths; how data is stored on-disk; inner workings of components such as the snitch, tombstones, and failure-detection; and the delivered security features.
Problems that Cassandra was designed to solve
Learn about CQL, its syntax and usage and evolution as a language and comparing some of its capabilities to the well-known SQL of the relational database world.
Build primary keys that facilitate high-performing data models at scale
Learn to start the cluster, examine its performance, make an adjustment, and test.
Sizing hardware and computer resources for Cassandra deployments
Learn about Cassandra-Stress and how to establish a performance baseline for a specific data model. Evaluate factors that can influence write performance. Understand read performance, and the different configuration properties that can help Apache Cassandra perform well during read-heavy and mixed workloads.
Using the Cassandra-Stress tool discover opportunities for improvement
Learn to scale your cluster horizontally, as well as to remove and replace failed nodes.
Adding and removing nodes
Learn about the wide variety of options available for monitoring and logging for Apache Cassandra, which will help in identifying issues proactively.
Understand different monitoring and logging tools, and how they provide more insight for problem solving on your cluster.
Make decisions using reliable out-of-the-box applications from the open source community, including installing, configuring, analyzing, and setting up alerting.
Learn the correct use cases and database selection. Discover the DataStax Java driver, its behaviors and configurations, and how it interacts with Apache Cassandra.
Learn about Spark architecture, which stands on top among other sets of available tools; it offers ease of installation and a huge community, as well as backing up on Hadoop for data warehousing. Get to know the different ways of installation, along with a custom all-in-one Docker image, which has Apache Cassandra, a monitoring stack, and Spark including PySpark, SparkR, and Jupyter with their dependencies.
You will build Cassandra applications.
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KnowledgeHut has all the excellent instructors. The training session gave me a lot of exposure and various opportunities and helped me in growing my career. Trainer really was helpful and completed the syllabus covering each and every concepts with examples on time.
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The workshop held at KnowledgeHut last week was very interesting. I have never come across such workshops in my career. The course materials were designed very well with all the instructions. Thanks to KnowledgeHut, looking forward to more such workshops.
Trainer really was helpful and completed the syllabus covering each and every concept with examples on time. Knowledgehut also got good customer support to handle people like me.
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I feel Knowledgehut is one of the best training providers. Our trainer was a very knowledgeable person who cleared all our doubts with the best examples. He was kind and cooperative. The courseware was designed excellently covering all aspects. Initially, I just had a basic knowledge of the subject but now I know each and every aspect clearly and got a good job offer as well. Thanks to Knowledgehut.
The average pay for a Cassandra professional is $121,806/year with salaries going upto $202,000 annually. This goes to show the popularity of Cassandra among organizations seeking to hire NoSQL experts. This course is your opportunity to learn and master Cassandra and become one among these high earning Cassandra professionals.
After completing our course, you will be able to:
By the end of this course you would have worked on projects and hands-on tutorials to gain a complete and thorough understanding of Cassandra.
There are no restrictions but participants would benefit if they have basic programming knowledge.
Yes, KnowledgeHut offers this training online.
On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.
Your instructors are Cassandra experts who have years of industry experience.
Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: http://www.knowledgehut.com/refund
In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.
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Cassandra is the new development in the technology industry. It has some unique features which make it different. It is a distributed database management system which was designed to handle large volumes of data, i.e., Big Data. With the help of Cassandra, organizations can handle web applications and data proliferation. Among the most popular NoSQL databases, Cassandra is a free and open source tool. Its flexibility and scalability make it one of the best storage solutions. The Cassandra Course in San Jose trains students in the core concepts of Cassandra including every little detail associated with it.
This training is focussed on providing students with an in depth learning of the subject starting from the basics. Trainees in this course, will learn about its configurations, its architecture, and how to read and write Cassandra. In this online training, students will learn about all the features of Cassandra such as elastic scalability, peer to peer architecture, high performance, and fault tolerance and will understand how to use these features. The Cassandra certification in San Jose includes hours of instructor led training and practice sessions which cover all concepts of the subject and introduce learning by practicing.
With this training, students can make a high-profile career in Cassandra and develop Cassandra based applications with ease. Learning under certified trainers and instructors having years of experience makes it easier to grab the concepts. At KnowledgeHut Academy, students learn under such trainers and even get the benefit of working on live projects and case studies which impart practical knowledge. On a schedule of their choice, students can learn with KnowledgeHut very comfortably.
So, what are you waiting for? Master Apache Cassandra with KnowledgeHut Academy. Enrol in Cassandra online training in San Jose today.