Thanks to an impressive grab bag of improvements in version 2.0, Spark's quasi-streaming solution has become more powerful and easier to manage Flink and Dataflow bring new innovations and target some ...
Spark Summit 2016 opened today at the Hilton San Francisco Union Square with Matei Zaharia, chief technology officer at Databricks, Inc. and creator of Spark, revealing the latest version of Spark 2.0 ...
In Spark 2.0, DataFrames and Datasets were extended to handle real time streaming data. This not only provides a single programming abstraction for batch and streaming data, it also brings support for ...
今天,在其年度 Data + AI Summit 上,Databricks 宣布将其核心声明式 ETL 框架以 Apache Spark Declarative Pipelines 的名义开源,并将在即将发布的版本中向整个 Apache Spark 社区提供。 Databricks 于 2022 年推出了该框架,命名为 Delta Live Tables(DLT),并自那时起不断扩展其功能 ...
Spark has generated huge excitement in the big data community. It has provided the path for making the speed or velocity layer of big data reality, simplified some of the gotchas of MapReduce, and ...
The Spark streaming analytics engine is one of the most popular open source tools for weaving big data into modern applications architectures with over 800 contributors from 200 organizations. It ...
Two years in the making, Apache Spark 2.0 will officially debut in a few weeks from Databricks Inc., which just released a technical preview so Big Data developers could get their hands on the "shiny ...
You probably did not hear it here first. Spark has been making waves in big data for a while now, and 2017 has not disappointed anyone who has bet on its meteoric rise. That was a pretty safe bet ...
At its Data + AI Summit, Databricks today made the requisite number of announcements one would expect from a company’s flagship developer event. Among those are the launch of Delta Lake 2.0, the next ...
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