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With the Hydrolix Spark Connector, Databricks users can use the Hydrolix streaming data lake to extract deeper insights faster and cheaper from their real-time and historical log data. According to a ...

Databricksと Hugging Faceは共同で、Apache Sparkデータフレームから Hugging Face データセットを作成することができる新機能を発表した。人工知能（AI）モデルのトレーニングや微調整のためのデータのロードと変換をより簡単にする方法を提供する。ユーザは、Spark ...

Spark Declarative Pipelines provides an easier way to define and execute data pipelines for both batch and streaming ETL workloads across any Apache Spark-supported data source, including cloud ...

Databricks, the company founded by the team that created Apache® Spark™, today announced that Apache Spark 2.0 is generally available on its just-in-time data platform, making it the first vendor to ...

Hydrolix, the company transforming the economics of log data with its streaming data lake platform, is unveiling a new Apache Spark connector that democratizes the power of Databricks to customers’ ...

New Spark-native offering makes Senzing the first entity resolution vendor to offer batch, transactional, and hybrid ...