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 Engineering 52

Data Engineering Data Engineer Engineering Data Mining 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 Engineering Data Engineer Engineering 52

AltexSoft

OCTOBER 8, 2021

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. Talend Open Studio: versatile open-source tool for innovative projects. Talend is an ETL tool for batch data processing in the first place.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 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. Also check out tools such as Apache Superset and Grafana to help you build modern real-time data visualizations. Change data capture (CDC) streams. The problem?

Transportation 52

Transportation BI SQL Database 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 Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Rockset

OCTOBER 11, 2022

Introduction Managing streaming data from a source system, like PostgreSQL, MongoDB or DynamoDB, into a downstream system for real-time analytics is a challenge for many teams.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

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 Engineering 52

Data Engineering Data Engineer Engineering Data Storage 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. Talend Projects For Practice: Learn more about the working of the Talend ETL tool by working on this unique project idea.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JULY 27, 2021

E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling? Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing. E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. What is the best way to capture streaming data in Azure?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40