The video presentation below discusses how big data engines like Apache Spark are being deployed to help detect and put an end to ad fraudulence. Spark allows for enterprises across various sectors, including security firms, to extract data in real time to catch patterns and help halt fraudulent activities and breaches earlier.
Databricks, the company behind Apache Spark, launched a new set of APIs that will enable enterprises to automate their Spark infrastructure to accelerate the deployment of production data-driven applications.
Databricks, the company behind Apache Spark, today announced the beta release of Databricks Community Edition, a free version of the cloud-based big data platform at Spark Summit East. This service will provide users with access to a micro-cluster as well as a cluster manager and notebook environment, making it ideal for developers, data scientists, data engineers and other IT professionals to learn Spark.
The “Data Exploration on Databricks” jump start video below will show you how go from data source to visualization in a few easy steps. Specifically, you’ll see how to take semi-structured logs, easily extract and transform them, analyze and visualize the data using Spark SQL, so you can quickly understand your data.
In this talk, Xiangrui Meng of Databricks shares his experience in developing MLlib. The talk covers both higher-level APIs, ML pipelines, that make MLlib easy to use, as well as lower-level optimizations that make MLlib scale to massive data sets.
Big data is going Spark crazy! Here’s a whopping 6 hour intensive, fast-paced and vendor agnostic look at Spark Core presented by Sameer Farooqui, a client services engineer at Databricks.
In this special guest feature, Denny Lee of Databricks, talks about the versatility of Spark – essentially comparing it to the Swiss Army Knife of on your camping trip, called Big Data/Analytics.
Databricks, the company founded by the creators of Apache Spark, released the findings of a survey of more than 1,400 respondents from the Spark community to identify how organizations and users are utilizing the data analytics and processing engine.
Databricks, the company founded by the creators of Apache Spark, launched major enhancements to its cloud-based platform with the 2.0 release.
Databricks, the company behind Apache Spark, today announced the general availability of its cloud-hosted data platform (formerly known as Databricks Cloud).