Making big data simple with Databricks
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Making big data simple with Databricks 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 Cluster Manager Notebooks Jobs Dashboards Third-Party Apps The ideal data platform How customers use Databricks How Databricks can help your business 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. • Managed Spark Clusters in the Cloud • Notebook Environment • Production Pipeline Scheduler • 3rd Party Applications Prepare data • Import data using APIs or connectors • Cleanse mal-formed data • Aggregate data to create a data warehouse Perform analytics • Explore large data sets in real-time • Find hidden patterns with regression analysis • Publish customized dashboards Build data products • Rapid prototyping • Implement advanced analytics algorithms • Create and monitor robust production pipelines Data democratization Higher productivity Faster deployment of data pipelines databricks.com [email protected] 1-866-330-0121
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Transcript of Making big data simple with Databricks
Making big data simple with Databricks
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
Cluster Manager
Notebooks Jobs Dashboards Third-Party Apps
The ideal data platform
How customers use Databricks
How Databricks can help your business
About DatabricksEnterprises 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.
• Managed Spark Clusters in the Cloud • Notebook Environment • Production Pipeline Scheduler • 3rd Party Applications
Prepare data
• Import data using APIs or connectors
• Cleanse mal-formed data
• Aggregate data to create a data warehouse
Perform analytics• Explore large data sets
in real-time
• Find hidden patterns with regression analysis
• Publish customized dashboards
Build data products• Rapid prototyping
• Implement advanced analytics algorithms
• Create and monitor robust production pipelines
Data democratizationHigher productivity Faster deployment of data pipelines
1-866-330-0121
Focus on finding answers. And capture the full value of your data.
Effortlessly manage large-scale Spark clustersSpin 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.
Accelerate your work with an interactive workspaceWork 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 scalePut 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.
Collaborate interactivelySeamlessly share notebooks, collaborate in the same code base, comment on each other’s work, and track activities.
Publish your analysis with customized dashboardsBuild and articulate your findings in dashboards in a few clicks. Set up dashboards to update automatically through jobs.
Connect your favorite appsRun your favorite BI tools or sophisticated third-party applications on Databricks Cloud.
