ProjectPro

JUNE 6, 2025

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

Data scientists and engineers typically use the ETL (Extract, Transform, and Load) tools for data ingestion and pipeline creation. 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.

Big Data Tools 40

Big Data Tools Big Data Hadoop Kafka 40

ProjectPro

JUNE 6, 2025

Your data may be kept in relational databases, Excel spreadsheets,csv or.txt files, SAS or Stata files, or.csv or.txt files. Additionally, you can allow the tool to access and analyze data from Google technologies, including Campaign Manager 360, Google Analytics, MySQL , and Google Sheets.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

Sqoop is a SQL to Hadoop tool for efficiently importing data from a RDBMS like MySQL, Oracle, etc. Users can import one or more tables, the entire database to selected columns from a table using Apache Sqoop. Sqoop is compatible with all JDBC compatible databases. Sqoop ETL: ETL is short for Export, Load, Transform.

Hadoop 40

Hadoop MySQL Relational Database Java 40

ProjectPro

JUNE 6, 2025

The extracted data can be loaded into AWS S3 using various ETL tools or custom scripts. The next step is to transform the data using dbt, a popular data transformation tool that allows for easy data modeling and processing. Postgres is an open-source relational database management system that stores and manages structured data.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

Data sources may include relational databases or data from SaaS (software-as-a-service) tools like Salesforce and HubSpot. Talend Projects For Practice: Learn more about the working of the Talend ETL tool by working on this unique project idea.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

Rockset

OCTOBER 11, 2022

The flow of data often involves complex ETL tooling as well as self-managing integrations to ensure that high volume writes, including updates and deletes, do not rack up CPU or impact performance of the end application. That’s because it’s not possible for Logstash to determine what’s been deleted in your OLTP database.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

ProjectPro

JUNE 23, 2016

Sqoop is a SQL to Hadoop tool for efficiently importing data from a RDBMS like MySQL, Oracle, etc. Users can import one or more tables, the entire database to selected columns from a table using Apache Sqoop. Sqoop is compatible with all JDBC compatible databases. Sqoop ETL: ETL is short for Export, Load, Transform.

Hadoop 40

Hadoop MySQL Relational Database Java 40

AltexSoft

OCTOBER 8, 2021

The tool supports all sorts of data loading and processing: real-time, batch, streaming (using Spark), etc. ODI has a wide array of connections to integrate with relational database management systems ( RDBMS) , cloud data warehouses, Hadoop, Spark , CRMs, B2B systems, while also supporting flat files, JSON, and XML formats.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

AltexSoft

AUGUST 29, 2023

These are the most organized forms of data, often originating from relational databases and tables where the structure is clearly defined. Common structured data sources include SQL databases like MySQL, Oracle, and Microsoft SQL Server. Data sources can be broadly classified into three categories.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

JULY 27, 2021

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

DECEMBER 7, 2021

Data sources may include relational databases or data from SaaS (software-as-a-service) tools like Salesforce and HubSpot. 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 Data Lake 52

ProjectPro

JUNE 6, 2025

Whether you are looking to migrate your data to GCP, automate data integration, or build a scalable data pipeline, GCP's ETL tools can help you achieve your data integration goals. Numerous efficient ETL tools are available on Google Cloud, so you won't have to perform ETL manually and risk compromising the integrity of your data.

ETL Tools 40

ETL Tools Big Data Google Cloud Project 40