Remove ETL Tools Remove NoSQL Remove Structured Data
article thumbnail

Sqoop vs. Flume Battle of the Hadoop ETL tools

ProjectPro

Hadoop Sqoop and Hadoop Flume are the two tools in Hadoop which is used to gather data from different sources and load them into HDFS. Sqoop in Hadoop is mostly used to extract structured data from databases like Teradata, Oracle, etc., Need for Apache Sqoop How Apache Sqoop works? Need for Flume How Apache Flume works?

article thumbnail

Your 101 Guide to Becoming an ETL Data Engineer in 2025

ProjectPro

Experts predict that by 2025, the global big data and data engineering market will reach $125.89 billion, and those with skills in cloud-based ETL tools and distributed systems will be in the highest demand. Clean, reformat, and aggregate data to ensure consistency and readiness for analysis.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

How to Become A Data Modeler in 2025?

ProjectPro

Kickstart your data engineer career with end-to-end solved big data projects for beginners. What does a Data Modeler do? The data modeler builds, implements, and analyzes data architecture and data modeling solutions using relational, dimensional, and NoSQL databases. data warehouses).

NoSQL 40
article thumbnail

Sqoop vs. Flume Battle of the Hadoop ETL tools

ProjectPro

Hadoop Sqoop and Hadoop Flume are the two tools in Hadoop which is used to gather data from different sources and load them into HDFS. Sqoop in Hadoop is mostly used to extract structured data from databases like Teradata, Oracle, etc., Need for Apache Sqoop How Apache Sqoop works? Need for Flume How Apache Flume works?

article thumbnail

Top 10 Data Engineering Tools You Must Learn in 2025

ProjectPro

This is important since big data can be structured or unstructured or any other format. Therefore, data engineers need data transformation tools to transform and process big data into the desired format. Database tools/frameworks like SQL, NoSQL , etc.,

article thumbnail

Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

The responsibilities of Data Analysts are to acquire massive amounts of data, visualize, transform, manage and process the data, and prepare data for business communications. In other words, they develop, maintain, and test Big Data solutions.

article thumbnail

Top 25 DBT Interview Questions and Answers for 2025

ProjectPro

Imagine your organization has a mix of structured and semi-structured data. How can DBT handle transformations for both types of data? For structured data, standard DBT models can be created using SQL transformations that take advantage of relational databases' capabilities.