Immersive Hands-on training with combination of theoretical learning, hands-on exercises, group discussions, assignments and intensive Q&A sessions.
Ask questions, get clarifications, and engage in discussions with instructors and other participants.
Get Mentored by Industry practitioners having more than 10 years of experience
Don’t gain just theoretical or practical knowledge. Understand the WHAT, WHY, and HOW of a subject. Simplify the subject matter and get in-depth comprehension.
Get reviews and timely feedback on your assignments and projects from professional developers.
We emphasize on learning the concepts through examples and help you in building a portfolio of projects through the course of training
Free lifetime enrolment into any of the upcoming batches to help you refresh the concepts
The Curriculum goes through multiple levels of design and preparation by the experts to keep the topics/modules relevant to everyday changes in technology.
Learn to use collaborative mediums to share opinions and improve your coding skills with assistance from the instructors and other participants.
Learning Objective: Get introduced to Apache Cassandra and some of its design considerations and components and learn about various use cases of Cassandra.
Learning Objective: Learn to run Command-Line Client Interface, connect to a server. Also, learn about the relational data model, design differences between RDBMS and Cassandra.
Hands-on: Run Command- Line Client Interface. Read and write data.
Learning Objective: Learn to configure a data model.
Hands-on: Configure a data model using Token calculation, node tool, validators, comparators.
Learning Objective: 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.
Hands-on: Problems that Cassandra was designed to solve
Learning Objective: 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.
Learning Objective: Learn to start the cluster, examine its performance, make an adjustment, and test.
Hands-on:- Sizing hardware and computer resources for Cassandra deployments
Learning Objective: 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.
Hands-on: - Using the Cassandra-Stress tool discover opportunities for improvement
Learning Objective: Learn to scale your cluster horizontally, as well as to remove and replace failed nodes.
Hands-on:- Adding and removing nodes
Learning Objective: Learn about the wide variety of options available for monitoring and logging for Apache Cassandra, which will help in identifying issues proactively.
Hands-on: 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.
Learning Objective: Learn the correct use cases and database selection. Discover the DataStax Java driver, its behaviors and configurations, and how it interacts with Apache Cassandra.
Hands-on: - Select Driver
Learning Objective: 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.
By the end of this workshop you would have fully understood the uses of NoSQLs and Cassandra and how to use it to power large databases and perform operations and manipulations of data. This is a great tool to learn if you are interested in Big Data.
There are no prerequisites but participants would benefit if they have basic programming knowledge.
Engineers working with large volume websites, or those who are expected to design fault tolerant database systems and students and individuals who wish to learn more about Cassandra will find this course beneficial.
Since its invention in the labs of Facebook, Cassandra has been widely implemented by organizations that require a distributed database with elastic scalability that can handle huge amounts of data. Becoming hands-on with this technology will help engineers, database architects and even students embark on a bright career in organizations that require large-scale, high-volume websites. Our course on Cassandra uses an in-depth courseware and hands-on, practice exercises to familiarize you with the various concepts of the architecture and the operational side of this database.
The workshops at Zeolearn are always interactive, immersive and intensive hands-on programs. There are 3 modes of Delivery and you can select based on the requirements -
We follow the below mentioned procedure for all the training programs by dividing the complete workshop experience into 3 stages i.e Pre, Workshop and Post. This is a tried and tested approach using which we have been able to upskill thousands of engineers.
Before the start of training program, we make sure that you are ready to understand the concepts from Day 1. Hence, as a process of preparation for the intensive workshop, we provide the following -
The training is completely hands-on and you receive the below mentioned deliverables from Zeolearn team -
We don’t just impart skills but also make sure that you implement them in the project. And for that to happen, we are always in touch with you either through newsletters or webinars or next version trainings. Some of the post-training deliverables lined-up for you are -
Yes, Zeolearn has well-equipped labs with the latest version of hardware and software. We provide Cloudlabs to explore every feature of Cassandrathrough hands-on exercises. Cloudlabs provides an environment that lets you build real-world scenarios and practice from anywhere across the globe. You will have live hands-on coding sessions and will be given practice assignments to work on after the class.
At Zeolearn, we have Cloudlabs for all the major categories like Web development, Cloud Computing, and Data Science.
Covers building Cassandra applications.
This course is delivered by industry-recognized experts who would be having more than 10 years of real-time experience in Cassandra.
Not only will they impart knowledge of the fundamentals and advanced concepts, they will provide end-to-end mentorship and hands-on training to help you work on real-world projects with regards to Cassandra.
Once you register for the course you will be provided with system requirements and lab setup document which contains detailed information to prepare the environment for the course.
To attend Cassandratraining program, the basic hardware and software requirements are as mentioned below -
All our training programs are quite interactive and fun to learn with plenty of time spent on lot of hands-on practical training, use case discussions and quizzes. Our instructors also use an extensive set of collaboration tools and techniques which improves your online training experience.
This will be live interactive training led by an instructor in a virtual classroom.
You will receive a registration link to your e-mail id from our training delivery team. You will have to log in from your PC or other devices.
Yes, for all the online public workshops there would be participants logging in from different locations.
In case of any queries, you can reach out to our 24/7 dedicated support at any of the numbers provided in the link below: https://www.zeolearn.com/contact-us, or send an email to email@example.com.
We also have Slack workspace for the corporates to discuss the issues. If the query is not resolved by email, we will facilitate a one-on-one discussion session with our trainers.
If you miss a class, you can access the class recordings anytime from our LMS. At the beginning of every session, there will be a 10-12 minute recapitulation of the previous class. You can watch the online recording and clarify your doubts at that time. You may need to login 15 minutes before the main lecture begins to avail this facility.
We also have a Free Lifetime enrollment for most of our courses. In case you miss out a class, you can also enroll for another complete workshop or only for a particular session.
Typically, Zeolearn’s training are exhaustive and the mentors help you out in understanding the in-depth concepts.
However, if you find it difficult to cope, you may discontinue within the first 4 hours of training and avail a 100% refund. Learn more about our refund policy here.
Zeolearn offers a 100% money back guarantee if the candidates withdraw from the course right after the first session. To learn more about the 100% refund policy, visit our refund page.
Yes, we have scholarships available for Students and Veterans. We do provide grants that can vary upto 50% of the course fees.
To avail scholarships, please get in touch with us at firstname.lastname@example.org. The team shall send across the forms and instructions to you. Based upon the responses and answers that we receive, the panel of experts take a decision on the Grant. The entire process could take around 7 to 15 days.
Yes, we do have instalment options available for the course fees. To avail instalments, please get in touch with us at email@example.com. The team shall explain how the instalments work and would provide the timelines for your case.
Usually we allow payment in 2 to 3 instalments but have all to be paid before you complete the course.
The evolution of Big Data is changing the landscape of big businesses. While this raw data is difficult to harness, new technologies such as NoSQL databases are providing a perfect solution for storage and retrieval of data. Apache Cassandra, the open source NoSQL distributed database management system can handle huge amounts of data across many commodity servers. Cassandra being among the most widely used NoSQLs, Cassandra developers are in high demand earning lucrative salaries and enviable job offers.
How do you get started with Cassandra?
Zeolearn’s Cassandra coaching teaches you all about the fundamentals of Cassandra, progressing from the basics to the more advanced concepts. You will learn Cassandra Data models, Cassandra Architecture, about how to configure, read and write data and integrate it with Hadoop from our Cassandra training which also includes practice sessions for your better understanding. Knowledge of this new-age technology is just what you need to have a successful career and our trainers will help you excel at it!
Register for the Cassandra course provided by our academy, schedule your classes and obtain a Cassandra certification that proves your knowledge and helps you to get your dream job.
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
Conquering the Big Data World with Cassandra
Cassandra is a free and open-source distributed database management system. It helps in seamlessly storing and retrieving large amounts of data from distributed data centres in various locations. Cassandra has a master-less architecture where there is easy replication between various data centres to ensure decentralized data storage. With the rise of big data applications around the world, Cassandra is an essential skill to possess for anyone aspiring to be a big data professional. Acquire Cassandra training in Chicago from the ease of your home with Zeolearn’s online academy. Undergoing Cassandra certification in Chicago would boost your career since the city is home to many large enterprises working on big data.
The Cassandra certification course in Chicago provided by Zeolearn gives you the freedom to choose from a variety of formats in which the course is delivered: an online course, classroom coaching course, one-to-one trainer delivered a course or as a corporate skill development workshop. Cassandra classes in Chicago are led by experienced instructors who tutor you on the foundations and basics using first principle approach. The lectures and material for this Cassandra course in Chicago have been designed keeping the learner in mind. The hands-on online training with multiple demo and practice sessions makes this course highly desirable for amateur learners.
The Apache Cassandra training in Chicago is complemented by training to build Cassandra applications for a 360-degree learning experience, with 24-hour support from our Cassandra experts. The cost and fee structure to enrol for this career-changing course on Cassandra certification in Chicago (online and offline institute course) are in the range of USD 990 to USD 1099. Register now to avail early bird discounts on Zeolearn.