Remove Cloud Remove Metadata Remove Unstructured Data
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Bring Order To The Chaos Of Your Unstructured Data Assets With Unstruk

Data Engineering Podcast

Summary Working with unstructured data has typically been a motivation for a data lake. Kirk Marple has spent years working with data systems and the media industry, which inspired him to build a platform for automatically organizing your unstructured assets to make them more valuable.

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Databricks Delta Lake: A Scalable Data Lake Solution

ProjectPro

." - Matt Glickman, VP of Product Management at Databricks Data Warehouse and its Limitations Before the introduction of Big Data, organizations primarily used data warehouses to build their business reports. Lack of unstructured data, less data volume, and lower data flow velocity made data warehouses considerably successful.

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Manage Your Unstructured Data Assets Across Cloud And Hybrid Environments With Komprise

Data Engineering Podcast

Summary There are a wealth of options for managing structured and textual data, but unstructured binary data assets are not as well supported across the ecosystem. Today’s episode is Sponsored by Prophecy.io – the low-code data engineering platform for the cloud.

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Your Enterprise Data Needs an Agent

Snowflake

Agents need to access an organization's ever-growing structured and unstructured data to be effective and reliable. As data connections expand, managing access controls and efficiently retrieving accurate informationwhile maintaining strict privacy protocolsbecomes increasingly complex.

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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

For e.g., Finaccel, a leading tech company in Indonesia, leverages AWS Glue to easily load, process, and transform their enterprise data for further processing. Another leading European company, Claranet, has adopted Glue to migrate their data load from their existing on-premise solution to the cloud. How Does AWS Glue Work?

AWS 66
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Azure Data Factory vs AWS Glue-The Cloud ETL Battle

ProjectPro

A survey by Data Warehousing Institute TDWI found that AWS Glue and Azure Data Factory are the most popular cloud ETL tools with 69% and 67% of the survey respondents mentioning that they have been using them. Azure Data Factory and AWS Glue are powerful tools for data engineers who want to perform ETL on Big Data in the Cloud.

AWS 40
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Simplifying Multimodal Data Analysis with Snowflake Cortex AI

Snowflake

This major enhancement brings the power to analyze images and other unstructured data directly into Snowflakes query engine, using familiar SQL at scale. Unify your structured and unstructured data more efficiently and with less complexity. Introducing Cortex AI COMPLETE Multimodal , now in public preview.