Today at the 10th Spark Summit, Databricks CEO & Co-founder revealed Databricks Serverless, a new initiative to offer serverless computing for complex data science and Apache Spark workloads. Databricks Serverless is the first product to offer a serverless API for Apache Spark, greatly simplifying and unifying data science and big data workloads for both end-users and DevOps.
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Today at the 10th Spark Summit, Databricks CEO & Co-founder revealed Databricks Serverless, a new initiative to offer serverless computing for complex data science and Apache Spark workloads. Datab...
Join us for an evening of Bay Area Apache Spark Meetup at the 10th Spark Summit featuring tech-talks about using Apache Spark at scale from Pepperdata’s CTO Sean Suchter and RISELab’s Dan Crankshaw...
Apache Beam is an open source model and set of tools which help you create batch and streaming data-parallel processing pipelines. These pipelines can be written in Java or Python SDKs and run on o...
Apache Kylin is a distributed OLAP engine on Hadoop, which provides sub-second level query latency over datasets scaling to petabytes. Kylin’s superior query performance relies on pre-calculated mu...
Catalyst is becoming one of the most important components of Apache Spark, as it underpins all the major new APIs in Spark 2.0 and later versions, from DataFrames and Datasets to Streaming. At its ...
"Apache Spark is a powerful, scalable real-time data analytics engine that is fast becoming the de facto hub for data science and big data. However, in parallel, GPU clusters are fast becoming the ...
"With the continued success of deep learning techniques, there's been a rapid growth in applications for perception in many modalities, such as image classification, object detection and speech rec...
Graph-parallel algorithms such as PageRank operate on an entire graph at once. Efficient distributed implementations of these algorithms are important at scale. This session will introduce the two ...
"Salesforce has created a machine learning framework on top of Spark ML that builds personalized models for businesses across a range of applications. Hear how expanding type information about feat...
Both Spark and HBase are widely used, but how to use them together with high performance and simplicity is a very hard topic. Spark HBase Connector (SHC) provides feature-rich and efficient access ...
There has been growing interest in harnessing the parallelism of Graphics Processing Units (GPUs) to accelerate analytics workloads. GPUs have become the standard platform for many machine learning...
Organizations building big data analytics solutions for streaming environments struggle with adapting legacy batch systems for streaming, supporting multiple columnar analytical databases, providin...