Remove directory
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Deploying LLM on RunPod

InnovationM

This may involve copying the model files into the appropriate directory within the RunPod filesystem and ensuring that any necessary dependencies are also included. You may need to optimize the model’s performance based on the available resources and constraints of the RunPod. Why to use RunPod?

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Applying Fine Grained Security to Apache Spark

Cloudera

This limited usage of Spark at security-conscious customers, as they were unable to leverage its rich APIs such as SparkSQL and Dataframe constructs to build complex and scalable pipelines. . Fine grained access control (FGAC) with Spark. Introducing Spark Secure Access Mode. Starting with CDP 7.1.7 Running Spark job.

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Building a Scalable Search Architecture

Confluent

Software projects of all sizes and complexities have a common challenge: building a scalable solution for search. For this reason and others as well, many projects start using their database for everything, and over time they might move to a search engine like Elasticsearch or Solr. You might be wondering, is this a good solution?

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Metadata Management: Process, Tools, Use Cases, and Best Practices

Altexsoft

It helps understand the data lifecycle, provides full visibility into data usage, and enables traceability (e.g., Data lineage graph. Performing them manually is too much of a hassle. Robust data cataloging solutions provide tools for metadata profiling and enrichment (with tags, annotations, or any other context).

Tools 59
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DBFS (Databricks File System) in Apache Spark

Perficient

In the world of big data processing, efficient and scalable file systems play a crucial role. Parquet files are well-suited for Spark applications because they offer efficient storage and optimized performance for columnar data processing. What is DBFS? If the file exists, it prints “File exists.”;

System 52
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Introducing Apache Iceberg in Cloudera Data Platform

Cloudera

This unprecedented level of big data workloads hasn’t come without its fair share of challenges. The data architecture layer is one such area where growing datasets have pushed the limits of scalability and performance. Fast query planning enables lower latency SQL queries and increases overall query performance. .

Data 105
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Group vs Fine-Grained Access Control in Cloudera Data Platform Public Cloud

Cloudera

RAZ for S3 and RAZ for ADLS introduce FGAC and Audit on CDP’s access to files and directories in cloud storage making it consistent with the rest of the SDX data entities. Let’s say that both Jon and Remi belong to the Data Engineering group. Without RAZ: Group-based access control with IDBroker.

Groups 61