Big Data’s New Open-Source Project: Apache Arrow Offers 100x Improvement On Analytical Workloads
PrwaTech congratulates Apache Arrow, on being announced as a new Top Level project. Apache Arrow is the latest addition to the Apache Open Source Software community; it is a cross system common data layer which helps in speeding up big data analytics.
As big data professional who has undergone Big Data Hadoop Course and attended Hadoop Training Classes you must make sure that you are always updated with latest news and trends around on big data. To face the challenging job market out there you need to constantly add new information and learn more about the industry as a whole, to serve the same purpose at PrwaTech we make endless efforts to keep our Big Data Hadoop Course, Hadoop Admin Training and Hadoop Online Course attendees up-to-date with everything that’s new and happening in the Big Data World.
Besides using it as an untainted infrastructure optimization alternative with cheaper storage or even as a batch processing system the other main requirements for customers to fully utilize the business value of Big data and Hadoop are high performance and scalable analytics. There’s been a remarkable amount of improvement in the open source community in the past few years to enable analytics across all the layers of the stack which includes in-memory processing layers (like Spark,Drill, Impala, Storm), columnar storage formats (like Parquet/ORC), and language APIs (like R, Python).
Arrow is the most recent addition to the stack and it represents an innovative memory-based data interchange format which can be used across all of these systems, programming languages and applications.
If multiple projects implement Arrow, they can easily share data with much less overhead, because the data won’t be serialized and deserialized between different proprietary, in-memory data formats. For systems placed on the same cluster who share memory on each node, the data would neither move nor get transformed in any way. Arrow will help to pipeline multiple products and projects together, wherein each of them will take turns in a cumulative method to work with data.
Apache Arrow is going to be a standard data interchange format which will offer new levels of interoperability between various big data analytics applications and systems.