Simplify Advertising Analytics Click Prediction with Databricks Unified Analytics Platform

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Advertising teams want to analyze their immense stores and varieties of data requiring a scalable, extensible, and elastic platform.  Advanced analytics, including but not limited to classification, clustering, recognition, prediction, and recommendations allow these organizations to gain deeper insights from their data and drive business outcomes. As data of various types grow in volume, Apache...

Simplify Streaming Stock Data Analysis Using Databricks Delta

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Traditionally, real-time analysis of stock data was a complicated endeavor due to the complexities of maintaining a streaming system and ensuring transactional consistency of legacy and streaming data concurrently.  Databricks Delta helps solve many of the pain points of building a streaming system to analyze stock data in real-time. In the following diagram, we provide...

Introducing Low-latency Continuous Processing Mode in Structured Streaming in Apache Spark 2.3

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Structured Streaming in Apache Spark 2.0 decoupled micro-batch processing from its high-level APIs for a couple of reasons. First, it made developer’s experience with the APIs simpler: the APIs did not have to account for micro-batches. Second, it allowed developers to treat a stream as an infinite table to which they could issue queries as...