It is a quick and easy-to-operate cluster computing system. If you want to speed up the computational result process and analyze big data easier and faster, then you should install apache spark on Ubuntu for the best results.
A framework used in a cluster computing environment for analyzing big data faster, Apache Spark allows the distribution of a workload throughout a group of computers in a single cluster for an effective, easy, simple, and fast processing of large sets of data. This platform has become extremely popular and supports a number of programming languages such as Python, Java, Scala, and more.
Why choose Spark for Ubuntu?
If you have big data workloads, it’s best to install Apache Spark as it is an open-source processing system that makes it easier for users to manage large data workloads and reduces human efforts. From optimized query execution to fast analytics queries against data for any size, it is an extremely viable choice for anyone who wants to manage their large data workloads well.
Apache Spark has become extremely popular amongst users from across the globe. It is also said to be Apache Community’s most advanced product to date.
Its various features such as cost efficiency, smart integration, in-built support system, multiple language support, easy evaluation, and reusability make it one of the best products when it comes to data processing. It is best known for its high-level API in programming languages such as Python and Java.
Factors to Keep in Mind Before Installing Spark on Ubuntu:
- Before you install Spark Ubuntu, please keep in mind that all spark apps run on Linux-based OS in real-time. This is why all the users need to understand how to install and run it on some Unix-based OS such as Ubuntu servers.
- Update your system to the latest version.
- Before installing spark, make sure that you already have installed Java 8 on your Ubuntu machine along with other dependencies.
- Install Hadoop on your machine.
- Make sure that you have installed Ubuntu OS on your computer
- Make sure that your computer has a minimum of 8 GB RAM.
- Make sure that your computer has at least 20GB of free space on the hard disk for the app to run smoothly.
What are the advantages and features of Apache Spark?
Excellent Speed: When it comes to data processing, Apache Spark is an extremely fast and compatible open-source processing system for large-scale data processing. It is better than any other distributed processing system as it works way faster than Apache Hadoop when it comes to large-scale data processing. According to reports, it is the fastest system in the world for large-scale on-disk sorting.
Pro tip: If you store all your data on your disk, Spark will work 10x faster.
Simple to Use: One of the best advantages of Apache Spark apart from its cost-efficiency and speed is that it is extremely simple and easy to use. This is possible because of the easy-to-use API integrated into its system for operating on large datasets.
Offers a unified engine: Another key advantage of Apache Spark is that it includes a number of higher-level libraries along with support for machine learning, streaming data, SQL queries, and graph processing. This increases developer productivity and simplifies complex workflows.
Apache Spark is extremely dynamic in nature given that it makes it easy for developers to develop a parallel application by providing 8o high-level operators.
The Spark code can easily be reused again for various purposes such as running ad-hoc queries on stream state, joining stream against previous data, or in case of batch-processing. It has been carefully designed to prevent and manage any kinds of failures in the cluster that also prevents any kind of data loss.
Another great feature of this popular and efficient data processing system is that it is smartly integrated with Apache Hadoop. This means that you can not only run Apache Spark independently and on its own but also on Hadoop YARN cluster Manager. This feature also allows Spark to read the current and existing data on Hadoop which makes it one of the most flexible data processing systems ever developed.
Why Is It Known as One of the Best Data Processing Systems?
Spark Apache is not only one of the fastest, most dynamic, and reusable data processing systems but also it will not hamper your budget a lot. When it comes to Big Data problems, Apache Spark is one of the most affordable systems when it comes to data processing on a larger scale.
One of the most important components of Spark—GraphX, helps simplify the highly complex graph analytics functions by collecting graph builders and algorithms. Along with a number of key features that have been integrated into Apache Spark for good user experience and for simplifying the complexities of data processing on a larger scale, it also offers extremely functional and smart tools that help in solving interactive queries, declarative queries, streaming data, and much more!
If you want zero risk while processing and managing your data and want to ensure that you do not lose any data during the processing and make sure that all your data is safe, install Apache Spark on Ubuntu. It is the fastest, eco-friendly, and simplest way to process large-scale data in extremely less time.
If you have big data workloads then installing Apache Spark on Ubuntu can be a great solution. It is also known as the new ‘king’ of big data because of its numerous advanced features. It is powerful, multilingual, easy to use, and budget-friendly.
Experts say that it has the power to transform the world of Big Data and its analytics. It is faster, more efficient, and simple to use as compared to all its alternatives in the market. It offers a number of benefits to all the small or large scale businesses involving big-data related work.