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. Understanding the database and its structures requires knowledge of SQL.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 52

ProjectPro

DECEMBER 7, 2021

In addition, to extract data from the eCommerce website, you need experts familiar with databases like MongoDB that store reviews of customers. You can use big-data processing tools like Apache Spark , Kafka , and more to create such pipelines. However, it is not straightforward to create data pipelines.

Data Pipeline 52

Data Pipeline Architecture Kafka Data Lake 52

Knowledge Hut

SEPTEMBER 26, 2023

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. Popular Big Data tools and technologies that a data engineer has to be familiar with include Hadoop, MongoDB, and Kafka.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Rockset

DECEMBER 9, 2021

It is now possible to continuously capture changes as they happen in your operational database like MongoDB or Amazon DynamoDB. Confluent Cloud, in particular, provides a lower-ops, more-affordable alternative to Apache Kafka. Your Next Move Some companies have parts of the modern real-time data stack today such as a Kafka stream.

Transportation 52

Transportation BI SQL Data Warehouse 52

ProjectPro

JUNE 6, 2025

ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse. Get familiar with popular ETL tools like Xplenty, Stitch, Alooma, etc. Hadoop , MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with.

Data Engineer 49

Data Engineer Data Engineering Engineering Certification 49

AltexSoft

OCTOBER 8, 2021

There are also out-of-the-box connectors for such services as AWS, Azure, Oracle, SAP, Kafka, Hadoop, Hive, and more. MongoDB), SQL databases (e.g., Xplenty will serve companies that don’t have extensive data engineering expertise in-house and are in search of a mature easy-to-use ETL tool. Pricing model. Suitable for.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

Knowledge Hut

NOVEMBER 17, 2023

ETL Processes : Knowledge of ETL (Extract, Transform, Load) processes and familiarity with ETL tools like Xplenty, Stitch, and Alooma is essential for efficiently moving and processing data. Data engineers should have a solid understanding of SQL for querying and managing data in relational databases.

Data Engineer 52

Data Engineer Data Engineering Engineering Scala 52

ProjectPro

JUNE 6, 2025

E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB Check Out ProjectPro's Complete Data Engineering Traning with Enterprise-Grade Data Engineering Projects ! Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers How is a data warehouse different from an operational database? What is data modeling?

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JANUARY 19, 2022

ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse. Get familiar with popular ETL tools like Xplenty, Stitch, Alooma, etc. Hadoop, MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with.

Data Engineer 52

Data Engineer Data Engineering Engineering Certification 52

ProjectPro

JULY 27, 2021

E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling? Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers How is a data warehouse different from an operational database? E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40