ProjectPro

JUNE 6, 2025

For implementing ETL, managing relational and non-relational databases, and creating data warehouses, big data professionals rely on a broad range of programming and data management tools. For data extraction using Talend, you must first establish a connection to the MySQL database.

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Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software.

Data Engineering 52

Data Engineering Data Engineer Engineering NoSQL 52

AltexSoft

JUNE 26, 2023

When developing machine learning models, you need several years’ worth of historical data (two-three years, at the very minimum), complemented with current information. Deep learning models consume even more — tens and hundreds of thousands of samples. They won’t make accurate predictions if trained on small datasets.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

JUNE 6, 2025

With Apache Hadoop combined with machine learning algorithms now tons of pages online can be easily ranked for its web users. Tools/Tech stack used: The tools and technologies used for such page ranking using Apache Hadoop are Linux OS, MySQL, and MapReduce. Followed by MySQL is the Microsoft SQL Server.

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U-Next

AUGUST 3, 2022

Additionally, they must be able to formulate those questions utilising a variety of tools, including analytic, economic, deep learning, and scientific techniques. Non-Technical Competencies. The people who have inquiries about data are known as Data Scientists. What are Data Scientist roles? Data Scientist Skills.

Data Science 52

Data Science Computer Science Retail Data Mining 52