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Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

Experience with using cloud services providing platforms like AWS/GCP/Azure. 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. To do that, a data engineer is likely to be expected to learn big data tools.

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Top Big Data Tools You Need to Know in 2023

Knowledge Hut

The more effectively a company is able to collect and handle big data the more rapidly it grows. Because big data has plenty of advantages, hence its importance cannot be denied. Ecommerce businesses like Alibaba, Amazon use big data in a massive way. We are discussing here the top big data tools: 1.

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?Data Engineer vs Machine Learning Engineer: What to Choose?

Knowledge Hut

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Apache Spark, Microsoft Azure, Amazon Web services, etc. Skills A data engineer should have good programming and analytical skills with big data knowledge.

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Top Big Data Hadoop Projects for Practice with Source Code

ProjectPro

How small file problems in streaming can be resolved using a NoSQL database. Problem Statement In this Hadoop project, you can analyze bitcoin data and implement a data pipeline through Amazon Web Services ( AWS ) Cloud. Extracting data from APIs using Python. Uploading the data on HDFS.

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How to Become a Big Data Engineer in 2023

ProjectPro

Build an Awesome Job Winning Data Engineering Projects Portfoli o Technical Skills Required to Become a Big Data Engineer Database Systems: Data is the primary asset handled, processed, and managed by a Big Data Engineer. You must have good knowledge of the SQL and NoSQL database systems.

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Top 10 Big Data Companies of 2023

Knowledge Hut

Through visualizations, machine learning models, and predictive analytics, the company's cloud platform assists businesses in making data meaningful. SAPC The HANA-in memory SQL server is the SAPC's primary big data tool; however, it also offers several analytics tools.