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Top 10 AWS Applications and Their Use Cases [2024 Updated]

Knowledge Hut

AWS, which stands for Amazon Web Services, is a range of cloud computing services, including services for computing power, storage, and databases. Regardless of whether it is in computing power, storage, databases, or machine learning, AWS allows us to use the services that are right for the use case. What is AWS? Why Use AWS?

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What are the Various AWS Products?

Knowledge Hut

Amazon Web Services (AWS) delivers on-demand computing resources and facilities in the cloud. AWS Computation tools Amazon EC2 Amazon Elastic Compute Cloud (Amazon EC2) is a web facility that allows users to resize and compute large data on the cloud. AWS offers a pay-as-you-go pricing package which is calculated hourly.

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Striim Cloud on AWS: Unify your data with a fully managed change data capture and data streaming service

Striim

When you run Striim on AWS, it lets you create real-time data pipelines for Redshift, S3, Kinesis, Databricks, Snowflake and RDS for enterprise workloads. It comes with pre-built data connectors that can automate your data movement from any source to AWS Redshift or S3 within a few minutes.

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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

Do ETL and data integration activities seem complex to you? AWS Glue is here to put an end to all your worries! Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 billion by 2026?

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Make Database Performance Optimization A Playful Experience With OtterTune

Data Engineering Podcast

It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more. We spend countless hours designing the data model, updating engine versions, and tuning performance. RudderStack’s smart customer data pipeline is warehouse-first.

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Building Your Data Warehouse On Top Of PostgreSQL

Data Engineering Podcast

Summary There is a lot of attention on the database market and cloud data warehouses. While they provide a measure of convenience, they also require you to sacrifice a certain amount of control over your data. In this episode Thomas Richter and Joshua Drake share their advice on how to build a production ready data warehouse with Postgres.

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Cloud Computing Syllabus: Chapter Wise Summary of Topics

Knowledge Hut

Furthermore, via hands-on projects, applicants learn the ways to utilize public cloud computing platforms like Microsoft Azure and Amazon Web Services (AWS). Therefore, learning cloud computing can serve as a gateway for a high-paying career. However, not all of these courses are created equal. lakh per annum.