What is Apache Spark?
Spark is an Apache project advertised as ‘lightning fast’.
Apache Spark is an open-source data-processing engine for machine learning and big data. The Spark was designed to deliver the speed, programmability required for big data, and reliability. Through a brief Apache Spark consulting, you can know its true core uses and benefits.
The engine can process data 10 to 100 times faster than its alternative, this makes it a favorite. It also includes APIs for different programming languages such as Java, Python, and R (all these are popular among data analysts and scientists).
Originally developed at the University of California, Berkeley’s AMPLab, the Spark codebase was later donated to the Apache Software Foundation, which has maintained it since.ed it since.
Interesting fact: Spark was invented because of MapReduce limitations. MapReduce has many steps, but with Spark, it requires only one step. With Spark data is read into memory, operations are performed and the results are written back-all this leads to faster execution of tasks.
Benefits of Apache Spark
• It’s Fast
Spark can be 100 times faster than Hadoop for big data companies. It currently holds the world record for large-scale on-disk sorting. To say it in simple terms, it can run fast…really fast against data of any size. This is beneficial for companies that process big data on regular basis. You can take Apache Spark consulting from us, Trigma, to gather more useful information on Spark uses for your business.
• It’s Easy to Use
During a long working schedule, it can become tough to process big data. Apache Spark comes in as a miracle for such days. It has easy-to-use APIs that can operate on big datasets. This has a collection of more than 100 operators from a familiar API framework.
• It’s Developer Friendly
As we told you before Spark is compatible with different languages, it supports Java, Scala, R, and Python. Such APIs makes it easy for developers because it eliminates the need high-level operators.
• It can Tackle Multiple Tasks
Apache Spark comes with the ability to run multiple workloads, including machine learning, real-time analytics, graph processing. These libraries increase developer efficiency and productivity to work long productive hours.
• Real-time Processing
Another huge advantage of Spark is that it allows the manipulation of real-time data. To stream data in Hadoop you need to integrate other frameworks but not with Spark, it can handle all this without going for all-around advantages.
• Expanding Community
Community support can either break or make the deal. A lot of programs fail because of low community support, this is what differentiates great from poor. Apache Spark seems like a one-time deal as it offers helpful community support and has expanding community.
Why Go for Apache Spark Consulting Service from Trigma?
We understand the value of Apache Spark and deliver its power to both technical and businesses. Spark as a service requires low maintenance meaning you can save money, any number of data sources can be accessed, no data links are needed and it is easy to use.
If you have any questions related to Apache Spark consulting, you can get in touch with us. Our expert will give you detailed information on Apache Spark consulting and answer your queries.