In the advanced digital era, Data is the seed for the flourishment of business; boosting its growth. Almost every business around the globe is dependent on data. The organizations get the prospect to tackle a large amount of consumer data. This leads to the need for an ideal and efficient infrastructure to deal with a massive amount of data i.e. its storage, analysis and processing.
For quite some time Apache Cassandra has made a distinct name in the world of big data analytics.
The following Apache Cassandra tutorial will cover many aspects, starting from the definition of Apache Cassandra; It features and working. Above all the discussion would also demonstrate Cassandra’s application. You can consider the following discussion as a guide on its fundamentals.
What Is Appache Casandra?
The Apache Cassandra tutorial will enlighten you about the Apache Cassandra definition. However, to learn about Cassandra it is essential to have some knowledge about requirements. Fundamental expertise in JAVA is required to start benefiting from the tutorial.
For better learning about Apache Cassandra, a little know-how of data concepts and Linum are advantageous. Now, let’s talk about its definition, it is defined as delivery of high scalability and high purpose with the assistance of distributed database system. It ensures better availability without any failure point by delivering throughout various commodity servers. Thus delivering expert functionalities; for tackling a large amount of data.
Now you must be wondering, Why choose Cassandra when you have several other options available. Apache Cassandra is a NoSQL database that will give you all the answers. Apache Cssandra significance can be reflected by a comparison between NoSQL databases with a relational database.
Why Are Nosql Databases Important?
The contrary is not in direct to a common SQL database by NoSQL database. Knowledge of the NoSQL database is essential to every Cassandra tutorial. NoSQL has evident SQL capability. Procedure for storage and retrieval of data can be provided by this database in comparison to the relational databases with tabular elations. Consistency, assistance for easy replication, management of a large amount of data, simple APIs, the scheme- free functionality are few services provided by NoSQL. Horizontal scaling, availability control, gaining a design of simplicity are primary emphasize of NoSQL database.
One of the striking differences between NoSQL and relational database is the data structure type. As a consequence NoSQL database provides more efficient speed in case of certain operations. A specific use case is determined according to the specific NoSQL database.
Learners must know the drawbacks of the NoSQL database. It only assists in the simple query language. On the contrary relational databases aids in the powerful query language.
NoSQL doesn’t aid in transactions as compared to relational databases that are capable to do so. MongoDB and Apache HBase are NoSQL’s two common types, other than Apache Casandra.
So why Apache Cassandra and what is its uniqueness? Distributed, decentralized and open-system are its few capabilities of the storage system and also its basics. The Cassandra tutorial will also make the learner aware of the key characteristics of Apache Cassandra, scalability, tolerance of fault, uniformity are some important points.
Apache Casandra is a column-oriented and key-value database. It folloes the design of Amazon DynamoDB and mirrors Google Bigtable.
Dynamo-style replication model unescorted by any failure point is another striking highlight of it. A high-performance column family data model is also available. One of its attractive features is you can find some distinguished great names here i.e. Twitter, FB, Netflix name in the user base.
Origins Of Apache Cassandra
Cassandra’s tutorial will also throw light on Apache Cassandra’s origin. Its idea was concepted when the inborn search problem of FB aroused and got addressed. Avinash and Prachant; the author of Amazon Dynama, in 2008 give birth to Cassandra.
Initially, its architect was based on the idea of column families and super column families. A bit today it can serve key-value store functionalities. The latest version is launched in 2014, at that time it was raised as an open-source project.
It has an impressive architect to manage big data workloads on several nodes without any failure points. Correct and effective distribution of data across various nodes in the form of clusters is ensured by the peer-to-peer gossip communication protocol. One of the things you should note in the tutorial is that every node is bestowed with the capacity to read/write. One of the reasons in case of a node failure, the other node network survives and aids in the request.
Why Cassandra? This can also be answered by the aspect that it can replicate data. One or multiple nodes in a cluster stands and serves as a specific data piece copy.
Nodes with out-dated values could be detected when Cassandra delivers the client the latest result, it starts in the background a repair to upgrade stale data.
One of the reasons for its growing popularity is its features. Its basic traits and architecture are its striking advantages. Here are some features that you can find in the tutorial.
- Elastic Scalability
- Reliable support for all data formats
- Addresses a large amount of data
- Support for running on commodity hardware
Apache Cassandra has the capability to simplify big data analytics. Various data related operations including storage and management are made easier. It has versatile features and faster storage. On the contrary, the newbies should know about the Apache Cassandra’s shortcomings. You will get a little impression of its setbacks on the NoSQL database option if you don’t reflect on the tutorial. Explore more about the Apache Cassandra with Mastering Apache Cassandra Training Course.