Five Reasons Why Spark with Inceptez Technologies www.inceptez.in www.inceptez.com info@inceptez.com 1. Spark is A Unified Computational and Analytics Engine Apache Spark so popular is its ease-of-use and ability to unify complex data workflows. Spark comes packaged with numerous libraries, including support for SQL queries, streaming data, machine learning and graph processing. These libraries increase developer productivity and enable teams to build robust data workflows with a single engine. It offers100 high-level operators and supports familiar programming languages such as Java, Scala, Python, and R, to ease development. 2. Lightning Fast Analytics at Scale Spark is 100x faster than Hadoop for large scale data processing by exploiting in-memory computing and other optimizations. Spark is fast when data is stored on disk, and currently holds the world record for large-scale on-disk sorting. This is critical for highly iterative machine learning where you need to build fast and reliable data pipelines that scale to meet the needs of the data scientists. From there, they are able to build and train better, more accurate models. 3. Spark is at the Forefront of Innovation Built for performance, scale, and fault-tolerance, Spark enables teams to deliver on some of the most cutting-edge big data and AI use cases. Additionally, built-in libraries for machine learning (MLlib), stream processing (structured streaming), graph processing (GraphX) and Spark SQL / DataFrames and easy integration with other common tools including popular deep learning frameworks like TensorFlow and Keras, have enabled innovations across industries. 4. Huge Demand For Spark Experts Adoption of Apache Spark with Kafka, Nifi, Elastic Search, Kibana and Cloud platform as a big data analytics engine continues to rise. Today, there are well over 1, 000 contributors to the Apache Spark project across 250+ companies worldwide. Some of the biggest and fastest growing companies use Spark to process data and enable downstream analytics and machine learning. Recently, Indeed.com listed over 2, 400 full-time open positions for Apache Spark professionals across various industries including enterprise technology, ecommerce/retail, healthcare, and life sciences, oil and gas, manufacturing, and more. 5. Increase Your Earnings Potential Internet powerhouses like Google and Netflix are changing the way enterprises are approaching their business. In order to compete in a technology-first world, enterprises across industries are focusing more on how to leverage big data and AI technologies to fuel innovation and their business strategies, the value of workers who can enable that strategy is very high.