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15+ Best Data Engineering Tools to Explore in 2023

Knowledge Hut

Power BI Power BI is a cloud-based business analytics service that allows data engineers to visualize and analyze data from different sources. It provides a suite of tools for data preparation, modeling, and visualization, as well as collaboration and sharing.

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Snowflake Architecture and It's Fundamental Concepts

ProjectPro

Traditional data preparation platforms, including Apache Spark, are unnecessarily complex and inefficient, resulting in fragile and costly data pipelines. Multi-Cloud Support- Snowflake is a fully managed data warehouse deployed across various clouds while maintaining the same intuitive user interface.

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Big Data Analytics: How It Works, Tools, and Real-Life Applications

AltexSoft

A single car connected to the Internet with a telematics device plugged in generates and transmits 25 gigabytes of data hourly at a near-constant velocity. And most of this data has to be handled in real-time or near real-time. Variety is the vector showing the diversity of Big Data. Apache Kafka.

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

ProjectPro

There are open data platforms in several regions (like data.gov in the U.S.). These open data sets are a fantastic resource if you're working on a personal project for fun. Data Preparation and Cleaning The data preparation step, which may consume up to 80% of the time allocated to any big data or data engineering project, comes next.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Google BigQuery receives the structured data from workers. Finally, the data is passed to Google Data studio for visualization. 18) GCP Project to Explore Cloud Functions The three popular cloud service providers in the market are Amazon Web Services, Microsoft Azure, and GCP.

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70+ Azure Interview Questions and Answers to Prepare in 2023

ProjectPro

Azure Table Storage- Azure Tables is a NoSQL database for storing structured data without a schema. It lets you store organized NoSQL data in the cloud and provides a schemaless key/attribute storage. Huge quantities of structured data are stored in the Windows Azure Table storage service.

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Data Lake vs. Data Warehouse: Differences and Similarities

U-Next

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. Data lakes, however, are sometimes used as cheap storage with the expectation that they are used for analytics. Amazon Web Services S3 . Different Storage Options