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 ...

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 ...

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 ...

Databricks Inc. today took some serious steps toward boosting the value proposition of the popular open-source Apache Spark big data processing engine, which is facing potent new competition. The San ...

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 ...

Apache Spark has become the de facto standard for processing data at scale, whether for querying large datasets, training machine learning models to predict future trends, or processing streaming data ...