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Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

Good knowledge of various machine learning and deep learning algorithms will be a bonus. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Good communication skills as a data engineer directly works with the different teams.

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Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

They use tools like Microsoft Power BI or Oracle BI to develop dashboards, reports, and Key Performance Indicator (KPI) scorecards. They should know SQL queries, SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS) and a background in Data Mining and Data Warehouse Design.

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Top 20 Azure Data Engineering Projects in 2023 [Source Code]

Knowledge Hut

The goal is to create a data pipeline that collects and analyses surf data from the Surfline API before storing it in a Postgres data warehouse. Data Aggregation Working with a sample of big data allows you to investigate real-time data processing, big data project design, and data flow.

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12 Big Data Project Topics with Source Code 2023

Knowledge Hut

It is the ideal moment to begin working on your big data project if you are a big data student in your final year. Current suggestions for your next big data project are provided in this article. Big Data Cybersecurity It is among the important big data machine learning projects.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis. Data Analytics: A data engineer works with different teams who will leverage that data for business solutions.

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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning.

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How to Become a Big Data Engineer in 2023

ProjectPro

You shall know database creation, data manipulation, and similar operations on the data sets. Data Warehousing: Data warehouses store massive pieces of information for querying and data analysis. Your organization will use internal and external sources to port the data.