Remove hdfs-snapshot-best-practices
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HDFS Snapshot Best Practices

Cloudera

Introduction The snapshots feature of the Apache Hadoop Distributed Filesystem ( HDFS) enables you to capture point-in-time copies of the file system and protect your important data against corruption, user-, or application errors. Using snapshots to protect data is efficient for a few reasons. on that file/directory.

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Enforce fine-grained access control on Open Table Formats via Amazon EMR integrated with AWS Lake Formation

AWS Big Data

Copy Hudi JAR file to Amazon EMR HDFS To use Hudi with Jupyter notebooks , you need to complete the following steps for the EMR cluster, which includes copying a Hudi JAR file from the Amazon EMR local directory to its HDFS storage, so that you can configure a Spark session to use Hudi: Authorize inbound SSH traffic (port 22).

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Exploring real-time streaming for generative AI Applications

AWS Big Data

Batch processing is not the best fit in this scenario. Stream processing, however, can enable the chatbot to access real-time data and adapt to changes in availability and price, providing the best guidance to the customer and enhancing the customer experience. For building such a data store, an unstructured data store would be best.

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Keeping Small Queries Fast – Short query optimizations in Apache Impala

Cloudera

We’ll discuss the architecture and features of Impala that enable low latencies on small queries and share some practical tips on how to understand the performance of your queries. The new Catalog design means that Impala coordinators will only load the metadata that they need instead of a full snapshot of all the tables.