The IT Skills Taught in Databricks Training
Big data came to the forefront of technology in the mid- to late 2000s. As organizations started to gather more and more data, they struggled in finding ways to store and process it, which ultimately may have resulted in a fewer major innovations. Although the Apache Hadoop project gained popularity quickly, many organizations faced technical challenges in working with the distributed processing framework. But when a group of UC Berkeley students built Apache Spark, it was quickly recognized as the next major step of big data processing. Those students went on to start the company Databricks, leveraging their intimate knowledge of the Apache Spark framework to build a web-based platform for working with Spark. Databricks offers automated cluster management and IPython-style notebooks that make working with data very easy for data scientists and developers alike. Databricks also developed Delta Lake, the open source storage layer for data lakes. Due to its ability to execute and the completeness of its vision, Databricks has been named a leader in Gartner’s Magic Quadrant for Data Science and Machine Learning for three years in a row.
In order to help fulfill its customers’ growing needs for training, Databricks chose ExitCertified to be its lone certified training partner in North America. So if you’re looking for a in-depth 3 day Apache Spark Programming class or are interested in Data Engineering with Databricks or Scalable Machine Learning with Apache Spark, ExitCertified has you covered. Explore the Databricks training courses below and get started on your learning journey.