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Azure Blob Storage: Hidden Gem of Cloud Storage Solutions

ProjectPro

Unlock the power of scalable cloud storage with Azure Blob Storage! This Azure Blob Storage tutorial offers everything you need to know to get started with this scalable cloud storage solution. By 2030, the global cloud storage market is likely to be worth USD 490.8

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MLFlow Mastery: A Complete Guide to Experiment Tracking and Model Management

KDnuggets

It also integrates with cloud storage for added flexibility. mlruns This command uses an SQLite database for metadata storage and saves artifacts in the mlruns directory. This format includes the model and its metadata. Metadata has the models framework, version, and dependencies.

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Data federation: Understanding what it is and how it works

RudderStack

Key components include metadata management, federation middleware, and role-based access controls to ensure governance and compliance. Connecting distributed sources The process starts by connecting to various data sources like relational databases, NoSQL databases, APIs, and cloud storage systems.

IT 59
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Build an Open Data Lakehouse with Iceberg Tables, Now in Public Preview

Snowflake

With this public preview, those external catalog options are either “GLUE”, where Snowflake can retrieve table metadata snapshots from AWS Glue Data Catalog, or “OBJECT_STORE”, where Snowflake retrieves metadata snapshots directly from the specified cloud storage location. Now, Snowflake can make changes to the table.

Building 120
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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms. In this blog, we will discuss: What is the Open Table format (OTF)? Why should we use it? A Brief History of OTF A comparative study between the major OTFs.

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Cloudera Data Warehouse outperforms Azure HDInsight in TPC-DS benchmark

Cloudera

Performance is one of the key, if not the most important deciding criterion, in choosing a Cloud Data Warehouse service. In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to Microsoft HDInsight (also powered by Apache Hive-LLAP) on Azure using the TPC-DS 2.9

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50 PySpark Interview Questions and Answers For 2025

ProjectPro

We can store the data and metadata in a checkpointing directory. In Spark, checkpointing may be used for the following data categories- Metadata checkpointing: Metadata rmeans information about information. It refers to storing metadata in a fault-tolerant storage system such as HDFS. appName('ProjectPro').getOrCreate()

Hadoop 68