ProjectPro

JUNE 6, 2025

Well, in that case, you must get hold of some excellent big data tools that will make your learning journey smooth and easy. Table of Contents What are Big Data Tools? Why Are Big Data Tools Valuable to Data Professionals? Why Are Big Data Tools Valuable to Data Professionals?

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

ProjectPro

JUNE 6, 2025

Once the data has been extracted, it needs to be stored in a reliable and scalable data storage platform like AWS S3. The extracted data can be loaded into AWS S3 using various ETL tools or custom scripts. MongoDB stores the processed and aggregated results. Install all the necessary tools.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

In addition, to extract data from the eCommerce website, you need experts familiar with databases like MongoDB that store reviews of customers. AWS Glue You can easily extract and load your data for analytics using the fully managed extract, transform, and load (ETL) service AWS Glue.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

Knowledge Hut

DECEMBER 26, 2023

They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. They also make use of ETL tools, messaging systems like Kafka, and Big Data Tool kits such as SparkML and Mahout.

Data Science 97

Data Science BI Data Mining Business Intelligence 97

Edureka

FEBRUARY 9, 2023

Data is moved from databases and other systems into a single hub, such as a data warehouse, using ETL (extract, transform, and load) techniques. Learn about popular ETL tools such as Xplenty, Stitch, Alooma, and others. To store various types of data, various methods are used.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

JUNE 6, 2025

Furthermore, you will find a few sections on data engineer interview questions commonly asked in various companies leveraging the power of big data and data engineering. What is data modeling? Data modeling is a technique that defines and analyzes the data requirements needed to support business processes.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

SEPTEMBER 26, 2023

Programming languages like Python, Java, or Scala require a solid understanding of data engineers. Data is transferred into a central hub, such as a data warehouse, using ETL (extract, transform, and load) processes. Learn about well-known ETL tools such as Xplenty, Stitch, Alooma, etc.

Certification 52

Certification Data Engineering Data Engineer Engineering 52