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Discover And De-Clutter Your Unstructured Data With Aparavi

Data Engineering Podcast

Summary Unstructured data takes many forms in an organization. From a data engineering perspective that often means things like JSON files, audio or video recordings, images, etc. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

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Unstructured Data: Examples, Tools, Techniques, and Best Practices

AltexSoft

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

This is particularly beneficial in complex analytical queries, where processing smaller, targeted segments of data results in quicker and more efficient query execution. Additionally, the optimized query execution and data pruning features reduce the compute cost associated with querying large datasets.

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Most important Data Engineering Concepts and Tools for Data Scientists

DareData

Our goal is to help data scientists better manage their models deployments or work more effectively with their data engineering counterparts, ensuring their models are deployed and maintained in a robust and reliable way. Examples of technologies able to aggregate data in data lake format include Amazon S3 or Azure Data Lake.

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Top Data Lake Vendors (Quick Reference Guide)

Monte Carlo

We continuously hear data professionals describe the advantage of the Snowflake platform as “it just works.” Snowpipe and other features makes Snowflake’s inclusion in this top data lake vendors list a no-brainer. It’s frustrating…[Lake Formation] is a step-level change for how easy it is to set up data lakes,” he said.

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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

Using big data, we are able to transform unstructured data, such as customer reviews, into actionable insights, which enables businesses to better understand how and why customers prefer their products or services and to make improvements to their operations as quickly as is practically possible.

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Data Warehousing Guide: Fundamentals & Key Concepts

Monte Carlo

Data can be loaded using a loading wizard, cloud storage like S3, programmatically via REST API, third-party integrators like Hevo, Fivetran, etc. Data can be loaded in batches or can be streamed in near real-time. Structured, semi-structured, and unstructured data can be loaded. They need to be transformed.