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Top 14 Must-Read Data Science Books You Need On Your Desk

Data Pine

That being said, here, we explore 14 of the best data science books in the world today, highlighting the very features, topics, and insights that make each of these institutional data-centric bibles crucial for the success of your career and business. Exclusive Bonus Content: The top books on data science summarized!

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Big Data Strategies Hinge on Using Drop Tables in SQL Servers

Smart Data Collective

In this article, you will be executing your examples on a fictional “Library” database with two tables: “‘Book” and “Author”. The “Author” and “Book” tables will have a one-to-many relationship. The relationship will be implemented via a foreign key column in the “Book” table that references the primary key of the “Author” table.

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A Comprehensive Guide to SQL Server Replication: Setup, Types, and Components

Astera

By maintaining multiple copies of data across different servers or locations, organizations can mitigate the risk of data loss due to hardware failures, disasters, or other unforeseen events. The choice of among them depends on the specific requirements of the data environment. Download Free Trial

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What is a database?

Astera

So, whether you’re checking the weather on your phone, making an online purchase, or even reading this blog, you’re accessing data stored in a database, highlighting their importance in modern data management. This allows data to be retrieved from various tables when needed, based on the established relationships.

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10 Big Data Examples Showing The Great Value of Smart Analytics In Real Life At Restaurants, Bars, and Casinos

Data Pine

After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs. However, the usage of data analytics isn’t limited to only these fields. Download our free summary outlining the best big data examples! “And

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What is Metadata Management? Benefits, Framework, Tools, Use Cases, Best Practices

Astera

As a result, your data becomes quick to discover, easier to understand, and more accessible by humans and machines. A library wouldn’t just store books on random shelves; it would categorize them, label them, and have entries in a catalog system. Metadata management does the same thing for your data.

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Top 8 Data Wrangling Tools for 2023

Astera

Repeatability and Documentation: You can easily create automated workflows or scripts to capture the steps performed during the data preparation process and then repeat them for consistency and reproducibility in analysis. Astera offers end-to-end data management from extraction to data integration, data warehousing and even API management.