With the increase in the business day by day, a huge amount of data processing in those businesses are also increasing, expenses of the cloud software are also increasing at a greater level and also on the other hand is a limiting factor. What a business need in this time is to help them and assist them in optimizing various jobs with a great level of success and this is exactly what Qubole provides.

Meaning

The term Apache Spark means a combination or group of platforms of computing that are designed with the purpose to be quick, fast, and for general purpose. In the term Apache Spark, the word Spark means a computational engine that works like an engine that has the responsibility of many things such as it helps in scheduling, distribution, and monitoring process of many applications which are all consist of the task related to computation across many clusters which need computation and across many machines which need this type of computation platform.

Benefits of Apache Spark

No doubt, the design of spark is such that it covers a wide range of a load of work that is previously separated and requires a separate system of distribution which includes in itself many things such as batch applications, queries that are very interactive, algorithms that are extremely iterative, necessary streaming which is sometimes useful in the production of analysis of pipelines related to data. Apart from this as well, there are many other benefits of Apache Spark. Some of them are as follows:

•  It is extended to a popular model that is MapReduce which provides support to it and assists it in providing efficiency and helps in supporting many types of computations.
• The design of this product is in such a way that it is highly accessible to all, it offers many other facilities and helps in Python, Java, SQL, and Scala, and helps in building their library rich.
• Apache Spark helps in the close integration of many big tools of the data present. It can operate and run in the other clusters as well and helps in access to many sources of database management systems.
• It provides a lot of parameters related to or associated with the configuration that allows us to optimize the application of Spark.

Overview of the Spark Application

Spark is made up of a single driver and consists of multiple executors. It is configured in such a way that it can have a single executor or you can have as many executors as you need or require processing the application. Autoscaling is supported by Spark and it provides us a facility of configuring a minimum and a maximum number of executors as per our need. Each executor consists of a separate Java Virtual Machine and run tasks and allows for the distribution processing. Four major resources are needed and are crucial for the optimization. They are memory, CPU, disk, and most importantly network. Memory and the CPU are the most expensive of all.

Features of Apache Spark

• Provides Ease of use
• Is designed in such a manner that provides fast and quick distribution processing
• Allows users to support different languages
• Apache Sparks allows us to use custom or prebuilt packages and offers a robust data science in the ecosystem
• Enables us to stream for real-time data processing tool, batch processing, and ad-hoc queries across various sources of data; hence, handles a large amount of workload

Businesses, that consist of a large amount of data tools needs experts that can revolutionize the big analytics of the data. Qubole offers a very enhanced and optimized service that makes a perfect development platform.