GitHub - delta-io/delta: An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Delta Lake is an open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs for Scala, Java, Rust, Ruby, and Python. See the Delta Lake Documentation for details. See the Quick Start Guide to get started with Scala, Java and Python. Note, this repo is one of many Delta Lake repositories in the delta.i
Open Sourcing TensorFlowOnSpark: Distributed Deep Learning on Big-Data Clusters
Today, we are pleased to offer TensorFlowOnSpark to the community, our latest open source framework for distributed deep learning on big-data clusters. Deep learning (DL) has evolved significantly in recent years. At Yahoo, we’ve found that in order to gain insight from massive amounts of data, we need to deploy distributed deep learning. Existing DL frameworks often require us to set up separate
Apache Spark @Scale: A 60 TB+ production use case
Facebook often uses analytics for data-driven decision making. Over the past few years, user and product growth has pushed our analytics engines to operate on data sets in the tens of terabytes for a single query. Some of our batch analytics is executed through the venerable Hive platform (contributed to Apache Hive by Facebook in 2009) and Corona, our custom MapReduce implementation. Facebook has
SnappyData, MemSQL-Spark & Cassandra-Spark: A Performance Benchmark
The TIBCOÂ Platform introduces a new control plane that will enable your IT operations staff to more easily monitor and manage an evolving set of your TIBCO solutions from a single location. With this brand new experience, you will be able to: Gain complete visibility over your TIBCO components across on-premises, cloud, and edge environments. Discover, monitor, and manage existing on-premises TIBC
Concord.io is For Sale | BrandBucket
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GraphX Programming Guide - Spark 1.0.0 Documentation
GraphX Programming Guide Overview Background on Graph-Parallel Computation GraphX Replaces the Spark Bagel API Migrating from Spark 0.9.1 Workaround for Graph.partitionBy in Spark 1.0.0 Getting Started The Property Graph Example Property Graph Graph Operators Summary List of Operators Property Operators Structural Operators Join Operators Neighborhood Aggregation Map Reduce Triplets (mapReduceTrip
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GitHub - kubeflow/spark-operator: Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
Deep Learning with Apache Spark and TensorFlow
https://www.linkedin.com/pulse/combining-druid-spark-interactive-flexible-analytics-scale-butani
https://jp.techcrunch.com/2015/01/21/20150120google-partners-with-cloudera-to-bring-cloud-dataflow-to-apache-spark/
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