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Monte Carlo + Databricks Doubles Mutual Customer Count—and We’re Just Getting Started

Monte Carlo

After launching our partnership with Databricks last year, Monte Carlo has aggressively expanded our native Databricks and Apache Spark™ integrations to extend data observability into the Delta Lake and Unity Catalog, and in the process, drive even more value for Databricks customers.

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Optimizing Kafka Streams Applications

Confluent

However, as a programming interface, such a tedious development cycle should not be the design philosophy of the Streams DSL. For this specific case, when the StreamBuilder#build() method is called, Streams will “push up” the repartitioning phase of the logical plan based on the captured metadata before compiling it to the processor topology.

Kafka 90
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100+ Big Data Interview Questions and Answers 2023

ProjectPro

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. HBase storage is ideal for random read/write operations, whereas HDFS is designed for sequential processes. Data Processing: This is the final step in deploying a big data model. No reliability exists.