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DevOps Roadmap to Become a Successful DevOps Engineer

Knowledge Hut

PowerShell for windows: A cross-platform automation and configuration framework or tool, that deals with structured data, REST APIs and object models. Go : Go is an open-source programming language developed by Google. Some of the cloud providers and what they offer are listed below- A. It has a command-line tool.

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What are Web Services? Types, Components, Examples

Knowledge Hut

Let’s look at these in detail: SOAP (Simple Object Access Protocol) Web Services Soap is simply a protocol designed with the motive that programs that are built on different programming languages can easily exchange information. It is a message protocol specification for exchanging structured data.

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15+ Best Data Engineering Tools to Explore in 2023

Knowledge Hut

Here, we'll take a look at the top data engineer tools in 2023 that are essential for data professionals to succeed in their roles. These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. What are Data Engineering Tools?

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Top Data Lake Vendors (Quick Reference Guide)

Monte Carlo

Amazon S3 and/or Lake Formation Amazon S3 is a popular storage platform to build and store data lakes thanks to its high availability and low latency access. It’s especially attractive for organizations that would like to leverage other complementary Amazon Web Services (AWS) services or database engines like Aurora.

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Snowflake Architecture and It's Fundamental Concepts

ProjectPro

Multi-Cloud Support- Snowflake is a fully managed data warehouse deployed across various clouds while maintaining the same intuitive user interface. Snowflake meets its users where they are most at ease, reducing the need to transfer data over the internet from their cloud environment to Snowflake.

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Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

Monte Carlo

Google BigQuery – Google’s cloud warehouse, BigQuery, provides a serverless architecture that allows for quick querying due to parallel processing, as well as separate storage and compare for scalable processing and memory. Does data quality need to be high will directionally accurate suffice?

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20 Solved End-to-End Big Data Projects with Source Code

ProjectPro

This project will teach you how to design and implement an event-based data integration pipeline on the Google Cloud Platform by processing data using DataFlow. MLOps on GCP Project for Autoregression using uWSGI Flask Here is a project that combines Machine Learning Operations (MLOps) and Google Cloud Platform (GCP).