Remove Relational Database Remove Structured Data Remove Unstructured Data
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Data Integrity for AI: What’s Old is New Again

Precisely

The goal of this post is to understand how data integrity best practices have been embraced time and time again, no matter the technology underpinning. In the beginning, there was a data warehouse The data warehouse (DW) was an approach to data architecture and structured data management that really hit its stride in the early 1990s.

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Sqoop vs. Flume Battle of the Hadoop ETL tools

ProjectPro

Hadoop Sqoop and Hadoop Flume are the two tools in Hadoop which is used to gather data from different sources and load them into HDFS. Sqoop in Hadoop is mostly used to extract structured data from databases like Teradata, Oracle, etc., The complexity of the big data system increases with each data source.

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Top ETL Use Cases for BI and Analytics:Real-World Examples

ProjectPro

However, the vast volume of data will overwhelm you if you start looking at historical trends. The time-consuming method of data collection and transformation can be eliminated using ETL. You can analyze and optimize your investment strategy using high-quality structured data.

BI 45
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100 Data Modelling Interview Questions To Prepare For In 2025

ProjectPro

A primary key is a column or set of columns in a relational database management system table that uniquely identifies each record. To avoid null values and duplicate entries, the primary key constraint is applied to the column data. List a few benefits of using surrogate keys in relational databases.

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Data federation: Understanding what it is and how it works

RudderStack

Connecting distributed sources The process starts by connecting to various data sources like relational databases, NoSQL databases, APIs, and cloud storage systems. The federation layer maps schemas and data types from each source to create a unified model, identifying relationships between data elements across systems.

IT 59
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A 2025 Guide to Ace the Netflix Data Engineer Interview

ProjectPro

Netflix Analytics Engineer Interview Questions and Answers Here's a thoughtfully curated set of Netflix Analytics Engineer Interview Questions and Answers to enhance your preparation and boost your chances of excelling in your upcoming data engineer interview at Netflix: How will you transform unstructured data into structured data?

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Data Engineering- The Plumbing of Data Science

ProjectPro

Decide the process of Data Extraction and transformation, either ELT or ETL (Our Next Blog) Transforming and cleaning data to improve data reliability and usage ability for other teams from Data Science or Data Analysis. Dealing With different data types like structured, semi-structured, and unstructured data.