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Amazon RDS vs. DynamoDB-A Comprehensive Comparison

ProjectPro

Amazon offers top database services, such as RDS, Aurora , Redshift , DynamoDB, etc., which allow users to create relational, graph, wide-column, and other use-case-specific data models. These databases are completely managed by AWS, relieving users of time-consuming activities like server provisioning, patching, and backup.

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7 Real-World Applications of SQL Across Industries

ProjectPro

Top 7 Common Applications of SQL Here are seven practical applications of SQL that will show you how to leverage SQL for data-driven initiatives- Applications of SQL in Data Science Data science professionals use SQL to quickly analyze data, extract data from large databases, and generate new insights.

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How To Choose Right AWS Databases for Your Needs

ProjectPro

They include relational databases like Amazon RDS for MySQL, PostgreSQL, and Oracle and NoSQL databases like Amazon DynamoDB. Types of AWS Databases AWS provides various database services, such as Relational Databases Non-Relational or NoSQL Databases Other Cloud Databases ( In-memory and Graph Databases).

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15 of the Best Data Science Roles to pursue Right Now

ProjectPro

FAQs on Data Science Roles Data Science Roles - The Growing Demand Every industry from retail, FMCG, finance, healthcare , media and entertainment to transportation leverages data science for business growth. Technical knowledge of relational database systems Knowledge of data management strategies.

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Machine Learning Case Studies with Powerful Insights

ProjectPro

Machine Learning Case Study on AutoDesk Autodesk is a US-based software company that provides solutions for 3D design, engineering, and entertainment industries. Capital One leverages AWS to transform data into valuable insights using machine learning, enabling the company to innovate rapidly on behalf of its customers.

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The Rise of Unstructured Data

Cloudera

Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. The IDC categorizes data into four types: entertainment video and images, non-entertainment video and images, productivity data, and data from embedded devices.

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Data Engineering Weekly #186

Data Engineering Weekly

40+ speakers - 12th September 2024 - Three simultaneous virtual tracks - Panels, Workshops, Lighting Talks, Keynotes, Fireside Chats and Entertainment. The author writes an overview of the performance implication of disaggregated systems compared to traditional monolithic databases. It will be fun and educational. -