Making big data simple with Databricks About Databricks Enterprises have been collecting ever-larger amounts of data with the goal of extracting insights and creating value, but are finding out that there are many challenges in their journey to operationalize their data pipeline. These challenges include, cluster management, deploying, upgrading and configuring Spark, interactively exploring data to get insights, and ultimately building data products. Databricks’ vision is to dramatically simplify big data processing. It was founded by the team that created and continues to drive Apache Spark, a powerful open source data processing engine built for sophisticated analytics, ease of use, and speed. The ideal data platform Databricks offers a cloud platform powered by Spark, that makes it easy to turn data into value, from ingest to production, without the hassle of managing complex infrastructure, systems and tools. A complete solution for data scientists and engineers. Databricks Notebooks Jobs Dashboards Third-Party Apps Cluster Manager • Managed Spark Clusters in the Cloud • Notebook Environment • Production Pipeline Scheduler • 3rd Party Applications How customers use Databricks Prepare data Perform analytics Build data products • Import data using APIs • Explore large data sets in real-time • Rapid prototyping or connectors • Cleanse mal-formed data • Aggregate data to create a data warehouse • Find hidden patterns with regression analysis • Publish customized dashboards • Implement advanced analytics algorithms • Create and monitor robust production pipelines How Databricks can help your business databricks.com [email protected] 1-866-330-0121 Higher productivity Faster deployment of data pipelines Data democratization Focus on finding answers. And capture the full value of your data. Effortlessly manage large-scale Spark clusters Accelerate your work with an interactive workspace Spin up and scale out clusters to hundreds of nodes and beyond with just a few clicks, without IT or DevOps. Easily harness the power of Spark for streaming, machine learning, graph processing, and more. Work interactively while automatically documenting your progress in notebooks — in R, Python, Scala, or SQL. Visualize data in just a few clicks, and use familiar tools like matplotlib, ggplot or d3. Run your production jobs at scale Collaborate interactively Put new applications in production with one click by scheduling either notebooks or JARs. Monitor the progress of production jobs and set up automated alerts to notify you of changes. Seamlessly share notebooks, collaborate in the same code base, comment on each other’s work, and track activities. Publish your analysis with customized dashboards Connect your favorite apps Build and articulate your findings in dashboards in a few clicks. Set up dashboards to update automatically through jobs. Run your favorite BI tools or sophisticated third-party applications on Databricks Cloud.
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