APACHE CASSANDRA Certification Training
By the great ultimatums from various industries and their intense
needs, professionals have designed this fantastic CertOcean's Apache
Cassandra Certification Training. This excellent training helps you
master the multiple theories of Apache Cassandra, together with the
Cassandra Data Model, its Management, characteristics, and Cassandra
Architecture. You will be able to grasp fantastic concepts. Like how to
set up, organize, and examine Cassandra sideways through the
amalgamation with other Apache frameworks such as as- Kafka, Spark, and
A question may arise in your mind-
Why should one opt for Apache Cassandra?
* 10,000 available positions needing Cassandra Programmer and Administrative Skills- LinkedIn
* The total income of an Apache Cassandra Software Engineer seems to be $120,500 annually.
* Cassandra is commonly encountered throughout the sector by various businesses, including certain: Walmart, PayPal, Intuit, Netflix, Intel, and Microsoft.
Goal- Throughout this course, you can get a good overview of Big Data and how much it causes conventional database management issues such as Relational databases. You can also discover how Cassandra tackles these issues and learn the functionality of Cassandra.
Skills- Understanding the basic concept of Cassandra.
By lesson's the end, you would be competent to-.
1. Enlighten what Big Data is.
2. Be able to list the restrictions of RDBMS.
3. Define NoSQL and its qualities
4. Define the CAP Theorem.
5. Learn Cassandra
6. List the crucial features of Cassandra
7. Get a tour of CertOcean's VM.
1. Introduction to Big Data and Issues instigated by it.
2. 5V- Velocity, Veracity, Value, Volume, and Variety.
3. Conventional Database Management System.
4. Restrictions of RDMS.
5. NoSQL databases.
6. Common traits of NoSQL databases.
7. The theorem of CAP.
8. How Cassandra resolves the Limitations?
9. History of Cassandra
10. Cassandra's Attributes
CertOcean VM excursion
Data structure layout.
Data Modelling in Cassandra.
By the completion of this course, you would be capable to-.
1. Elucidate what Database Modelling and its qualities are.
2. Describe the various kinds of Data Models.
3. List the variances amongst the Cassandra Data Model and RDBMS.
4. Define the Cassandra Data Model.
5. Elucidate Cassandra Database Elements.
6. Execute keyspace, Updating, Deletion, and Creation.
7. Execute Table Deletion, Creation, and Updating.
1. Introduction to Database Model.
2. Recognize the analogy between Cassandra Data Model and RDBMS.
3. Comprehend subsequent Database Elements: Column, Keyspace, Cluster, and
4. Family Options of Column.
6. Skinny and Wide rows.
7. Dynamic and Static tables.
1. Learn producing tables.
2. Learn forming keyspace.
Goal- Read all about architecting and developing Cassandra Database Structures. In
particular, discover Cassandra's intricate internal dynamics, including Reading Repairs,
Gossip Protocol, and everything else.
1. At the lesson's end, you will be able to -
2. Clarify the Architecture of Cassandra.
3. Define the diverse layers of Cassandra Architecture.
4. Learn about Gossip Protocol.
5. Describe Snitches and Partitioning.
6. Explain Vnodes and How Read and Write Pathway operates.
7. Understand Anti Entropy, Tombstone, and Compaction.
8. Describe Repairs in Cassandra.
9. Explain Hinted Handoff.
1. Cassandra as a distributed database.
2. Critical components of Cassandra- SSTables, Commit log, and memtable.
3. Replication factor.
4. Data replication in Cassandra.
5. Gossip protocol- Detecting failures.
6. Gossip- uses.
7. Snitches- uses.
8. Distribution of Data.
9. Staged Event-Driven Architecture (SEDA)
10. Services and managers.
11. Virtual nodes- Write and read paths.
12. Uniformity level.
14. Incremental repair.
1. Table procedures.
2. Database operations.
At the lesson's end, it would be easy for you to:
1. Define diverse data types used in Cassandra.
2. Explain types of collection.
3. Describe what CRUD processes are.
4. Apply to select, insert, delete, and update different elements.
5. Apply different operations utilized in Cassandra.
6. Describe the significance of indexing and roles.
7. Understand tombstones in Cassandra.
1. Replication Factor.
2. Replication strategy.
3. Define columns and types of data.
4. Describing a partition key.
5. Identifying a partition key.
6. Denoting a descendant cluster order.
7. Data updating.
9. Data deletion.
10. Utilizing TTL.
11. Upgrading a TTL.
1. Create keyspace in Cassandra.
2. Review created Keyspace in System_Schema.keyspaces.
3. An upgrade replication factor of the previously created keyspace.
4. Drop previously created keyspace.
5. Create a table utilizing cqlsh.
6. Create a table using TIMEUUID and UUID.
7. Create a table utilizing the UDT column and collection.
8. Create a secondary index on a table.
9. Insert data into the table.
10. Insert data into the table with TIMEUUID and UUID columns.
11. Insert data using the COPY command.
12. Deleting data from a table.
Operations of nodes.
By the end, you will quickly:
1. Explain the nodes of Cassandra.
2. Learn the seed nodes.
3. Set up the nodes of seed by Cassandra. yaml folder.
4. Either bootstrap or add a node in the cluster.
5. To decommission a cluster's node, utilize the utility of Nodetool.
6. Eliminate a dead node from the cluster.
7. Explain the requirement to repair the nodes.
8. Utilize Nodetool repair command.
1. Nodes of Cassandra.
2. Ways to postulate the nodes of seeds.
3. Bootstrapping a node.
4. Addition of a node (commission) in the cluster.
5. Removing a dead node.
6. Eliminating a decommissioned node.
8. Read repair.
9. What's fresh in incremental repair
10. Running a repair operation.
11. Spark and Cassandra Application.
1. Commission of a node.
2. Nodetool commands.
3. Decommission of a node.
By the end:
1. Define the different examining tools accessible.
2. Apply Nodetool usefulness to accomplish a cluster.
3. Utilizing JConsole to examine JMX statistics.
4. Understand the OpsCenter tool.
1. Monitoring tools of Cassandra.
4. Utilizing JConsole.
5. Utilizing Nodetool utility.
6. Understanding about OpsCenter.
7. Runtime Tools of Analysis.
2. JConsole and JMX.
Goal- Throughout this course, you can read regarding the current value of Restore and
Backup with Cassandra and Generate Screenshots in Cassandra. Through Cassandra, you can
know regarding Hardware Choice and Reliability Optimization. You can also understand
Cassandra incorporation with such a range of many other systems.
1. Tuning's performance.
2. Design Principles of Cassandra.
3. Restoration and Backup.
At the end:
1. Study restore functionality and backup and its significance.
2. By using the Nodetool, you can produce a snapshot.
3. Reinstate a snapshot.
4. Comprehend how to select the correct equilibrium of the following resources: disks,
CPU, memory, network, and several nodes.
5. Comprehend all the logs shaped by Cassandra.
6. Clarify the significance of various files of logs.
7. Set up the log files.
8. Study about Tuning of performance.
9. Collaborations with Kafka and Spark.
1. RAM and CPU references.
2. Developing a snapshot.
3. Snapshot restoration.
4. Choices of hardware.
5. Storage selection.
6. Streams and load balance.
7. Kinds of storage to ignore.
8. In contradiction of vast sets of data by alteration of Cassandra with end to end
1. Amalgamation with a spark.
2. Amalgamation with Kafka.
3. Snapshots creation.
1. Continues assistance of Cassandra operational data.
2. Implementation of design.
At the end of the session:
1. Apply the function on the cloud by the Cassandra database.
2. Produce the end to end project utilizing Cassandra.
3. Study about the DataStax.
1. Presenting on Cloud a Cassandra Database.
3. Continues aid of the Functional data by Cassandra.
On the Amazon assistance of web presenting a Cassandra Database.
Cassandra is indeed a higher aggregate, decentralized Apache database equipped to accommodate large volumes of unstructured information. Apache Cassandra certification training protects Server processes, table functions, node activities in such a server, cluster administration and management, backup/restore, configuration management, and Cassandra cloud service networking. Among several Apache systems, including Kafka, Spark, and Hadoop, you can also need to implement Cassandra.
1. Deep NoSQL database awareness, with attributes including Fault Tolerance, Scalability, and Fast Processing, High Availability.
2. Comprehensive knowledge of Cassandra Database and it's architecture.
3. Capacity to consume data and execute separate procedures in Cassandra.
4. Simple & Multi-Node Cluster configuration background and multiple Node Processes utilizing Nodetool.
5. The Cassandra Cluster Capacity to Control and Track.
6. Awareness of different Cassandra Protection and Recovery functionality.
7. Exposure to several ventures focused on real-life sectors.
8. Research papers that include finance, communications, social networking sites, and e-commerce fields are involved in scope.
standards and best practices to benefit from it. In addition to the right scientific expertise, you will need to focus on real-life Cassandra ventures as part of the approach plan. It's indeed freely available and has been used by several corporations, such as Spotify, eBay, Comcast, Adobe, NASA, Netflix, and Twitter,
contributing to a rise throughout Cassandra Realm.
THROUGH OUR APACHE CASSANDRA QUALIFICATION PRACTICE, AND WHAT WERE THE TECHNIQUES THAT YOU CAN DISCOVER?
By giving you detailed information about Cassandra, it is intrinsic and the requisite hands-on knowledge for resolving various manufacturing big data ventures, this will improve your expertise.
You would be directed and taught through our specialist teachers throughout the Cassandra Training with:
1. Maestro the NoSQL database principles & grasp where Cassandra will be used.
2. To grasp the CAP hypothesis, the Background of Cassandra.
3. Setup and maintain your Cassandra Single Node Cluster.
4. Describe the Architecture of Apache Cassandra.
5. Applications to build and model Cassandra.
6. Know from Tables, Keyspaces.
7. Execute Cassandra Admin Procedures for Cluster Management.
8. Study Cassandra Efficiency Tuning based principles.
9. Integrate Cassandra Backup and Recovery Techniques.
10. On Cloud host Cassandra.
The Big Data analytics industry is rising worldwide, and this apparent trend of development transforms into a fantastic chance for all IT specialists. A few of the popularly used NoSQL databases seem to be the massively scalable and super quick Cassandra.
Our mentoring in Apache Cassandra tends to help you to capture this chance and speed up your future. It is most suitable for:
1. Developer / Administrator / Architect / Analyst / Engineer for Big Data Architect / Engineer / Developer of Software
2. Adviser on Solution Delivery
3. Senior BI / Developer of ETL
4. Developer for NoSQL Big Data
1. 4GB Minimum RAM Required: (Recommended: 8GB).
2. Lowest possible free space on disc: 25-GB.
3. Minimum i3 or above CPU.
4. 64-bit Operating System.
5. Participant devices must endorse a visitor picture of the 64-bit VirtualBox.
The CEO of www.purhaseitnow.com is David. He has so far been reportedly marketing 300k items throughout separate classes each day. There have been tons of dealers listed mostly on the platform who have millions of items.
David eventually finds that concerning the quality of goods offered by many retailers, his revenues are declining monthly. He then chose to classify the goods such that his clients could obtain decent products from the platform. He approached John, his CTO, to create that very same feature.
John proposed to him that unless they encourage consumers to provide reviews throughout the context of like & dislike on the brand they bought, they may prefer such items over most similar companies.
John and the Marketing Director collected some specifications and agreed to use the Agile technique to build them.
1. Get Details of Apps by User Id
2. Get Product Information by ProductId
3. Get all User-Liked apps
4. Get the stuff you want from several users.
John solely has information on RDBMS, and it has proposed the following data model:
a. Id of User
b. Name of Consumer
2. The Product
a. Ids of Product
b. Name of Product
c. Definition of Item
3. Likes of User Product
a. Id of User (FK user table)
b. Id of Item (FK product table)
Shortly afterward, the last table accrued tremendous results, resulting in a device disparity.
They attempted to apply all methods of automation yet struggled to solve the problem.
They found after some searching that the very last two questions will not do well because of this.
1. Due to the broad catalog, the tables would be massive.
2. It would require more prolonged effort for products/users to retrieve
They employ you to resolve this since you have a specific background in NoSQL databases.
You might end up with a fantastic collection of databases, including schema architecture.
When You Have Completed Designing, You Must:
1. Provide details on the kind of database you use for GRAPH / RDBMS / NoSQL?
2. Deliver database details about why you chose it?
3. Provide descriptions of the schema alongside Primary/Composite/Clustering/Partition keys?
Enhancement to the issue above:
4. You must also revert product names to get enough items a person value.
Get all the names of users who enjoyed every product.
DOMAIN: BANK Case Study 2:
Statement of Problem:
A global bank recently hired our consultancy company to help increase the usability of their new network. There have been tons of records of transactions obtained by large programs.
MySQL's new storage is insufficient to manage all of the logs. The company also needs to address several joint ventures.
You need to overhaul the current code and migrate your old data.
You also provided endpoints or the path of log files where information is analyzed.
On the platform, you have multiple sites that might be a search site, promotional page, day page contract, etc. You must use this log and layout schema; thus, the steady demand counts every day can be collected.
1. Amount of clicks on the Android device's deal of the day page on 11 May 2017
2. Amount of clicks to address the IOS device page on 11 May 2017
3. Amount of clicks on the Chrome browser home page, 11 May 2017
4. Amount of clicks on the Firefox browser home page, 11 May 2017
Case Study 3: Application Customer Service Desk
Statement of Problem:
Develop a Customer Service Desk program to monitor and collect complaints from customers in such a family of Cassandra columns.
Cassandra table Help Desk captures these specifics seen in the photo attached.
The Action Time, Ticket Id, Customer Id, and rows are the primary keys. The Customer id column is translated into the Partition key. The documents are saved throughout the Ticket Id. Action Time sorted order. This would be to ensure that perhaps the specifics of the significant change are available first.
1.Build a Help Desk list according to the specifications described.
2.In Help Desk, additional info. Action Time ought to get the latest Timestamp for any document entered.
3.To view all of the information throughout the layout stated, just use CQL command.
4.Write the question set to download information from either a given date and period. Around 2017-11-12 19:14:00 and 2017-11-13 19:20:00, for instance.
Case Study 4: Application for Hotel Booking
Statement of Problem:
Create the application data model for a hotel suite booking. Access file available rooms.csv procured. Besides two small hotels with five bedrooms apiece, the available_rooms.csv document includes a month's stock levels.
1. Construct a table available-rooms-by-hotel-date with hotel-id while the separation key as required, according to date and room number columns are clustered.
2. High volume load to table available-rooms-by-hotel-data from rooms.csv available
3. Display all documents for just a specific hotel id (ex: AZ123) and room number in available rooms besides the hotel date (ex: 101). Note that both hotel-id and room-number are part of the primary composite key.
4. Exhibit all data in decreasing order of date for just a specific venue among two different incorporating data.
5. Continue writing a UDF that returns 1 when an option is available, otherwise return 0 Give a decision to both the UDF to show the table results available while the hotel date.
24hrs of Online Live Instructor-led Classes. Weekend class: 8 sessions of 3 hours each
Real-life Case Studies
Towards the end of the Course, you will work on a real-life case study.
Each class has practical assignments which shall be finished before the next class and helps you to apply the concepts taught during the class.
You get lifetime access to the Learning Management System (LMS). Class recordings and presentations can be viewed online.
24 x 7 Expert Support
We have 24x7 online support team available to help you with any technical queries you may have during the course.
End of the course, you will be working on a project. Edureka certifies you as a Apache Cassandra Professional based on the project.
Frequently Asked Questions (FAQs):
A lesson at ertOceanC you'll never forget! You can choose any of the available possibilities:
1. Monitor a captured class session accessible via your LMS.
2. In every other live set, you could join the skipped session.
Now, in only three simple steps, you would be capable of building a perfect resume. To use specific frameworks through multiple positions and designations, you would have unrestricted access. Anything you will have to do is sign in to your LMS and press mostly on the choice to build your resume option.
Alas, however, participating in a live class through registering isn't feasible. You should go over the sample class video, which can offer a good view of how are the courses, the consistency of teachers, and the degree of participation in such a classroom.
Have a Get Ahead Approved.