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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Learn theory backed by practical case studies, exercises and coding practice that will make you ready for the industry.
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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.
KnowledgeHut is a great platform for beginners as well as the experienced person who wants to get into a data science job. Trainers are well experienced and we get more detailed ideas and the concepts.
The instructor was very knowledgeable, the course was structured very well. I would like to sincerely thank the customer support team for extending their support at every step. They were always ready to help and supported throughout the process.
I would like to extend my appreciation for the support given throughout the training. My trainer was very knowledgeable and liked the way of teaching. The hands-on sessions helped us understand the concepts thoroughly. Thanks to Knowledgehut.
The trainer took a practical session which is supporting me in my daily work. I learned many things in that session with live examples. The study materials are relevant and easy to understand and have been a really good support. I also liked the way the customer support team addressed every issue.
Knowledgehut is the best platform to gather new skills. Customer support here is really good. The trainer was very well experienced, helped me in clearing the doubts clearly with examples.
It is always great to talk about Knowledgehut. I liked the way they supported me until I get certified. I would like to extend my appreciation for the support given throughout the training. My trainer was very knowledgeable and liked the way of teaching. My special thanks to the trainer for his dedication, learned many things from him.
Knowledgehut is the best training provider which I believe. They have the best trainers in the education industry. Highly knowledgeable trainers have covered all the topics with live examples. Overall the training session was a great experience.
I was totally surprised by the teaching methods followed by Knowledgehut. The trainer gave us tips and tricks throughout the training session. Training session changed my way of life. The best thing is that I missed a few of the topics even then I have thought those topics in the next day such a down to earth person was the trainer.
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: https://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.
Calgary is a cosmopolitan in the Alberta province of Canada with numerous growth in technology as well as education field. The city is a corporate power-center with a high percentage of workforce employed. Calgary is one of the nine Canadian cities out of 98 in total cities internationally that is in the New York City Global Partners. It several institutes of higher education learning including The Southern Alberta Institute of Technology. Like Dallas Texas, Calgary also has the highest concentration of headquarters in the Canada which makes it a favorable city for several startups including database or software technology, among which Cassandra is one of the best. You can take the Cassandra course certification and training in Calgary with KnowledgeHut academy.
Calgary is one the dream place in Canada to take the Cassandra course as the requirement of the people is high but the people are less concerned in Cassandra. The Calgary Technology Inc. is focusing to support Calgary?s innovation driven companies. So, the support of the govt. in the technology sector is another benefits for the Calgary?s people and those who want to learn Cassandra. Cassandra course in Calgary is a simple course which had been originally produced at Facebook organization to develop more features during inbox search. Hence, there is a great job opportunity in the Calgary relating to Cassandra.
Cassandra means Apache Cassandra database which is an open sourced data, distributed wide column store of NoSQL database management system designed to handle large amount of data across many commodity servers, providing high availability with no single point failure. This Cassandra training in Calgary is used to learn what, why, where and how is Cassandra used, it?s feature and architecture, gossip protocol, read repairs and Merkle trees, data model and integrate Cassandra with Hadoop and tools use like Pig and Hive. For this you may need to know basics of Linux command line, JAVA and database concepts. Before this course you must need a good operating system, a modern web browser and a fast internet connection.
You can easily get access to the Cassandra certification program in Calgary through KnowledgeHut. By KnowledgeHut you will be provided 24 hours of Instructor LED sessions with suitable tutor, 60 hours of MCQ?s and assignments, 2 industry use cases and 22 hours of hands-on live session. In online courses, you can log into live learning at a schedule timing. You will be learnt through doing practical case study which include Cassandra application creating. For more information you can get through official KnowledgeHut website. Corroboration will be provided after the course.