ProjectPro

JUNE 23, 2016

Sqoop is a SQL to Hadoop tool for efficiently importing data from a RDBMS like MySQL, Oracle, etc. Sqoop works with several relational databases, including Oracle, MySQL, Netezza, HSQLDB, Postgres, and Teradata. Sqoop ETL: ETL is short for Export, Load, Transform. Yes, MySQL is the default database.

Hadoop 40

Hadoop MySQL Relational Database Java 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. Logstash is an event processing pipeline that ingests and transforms data before sending it to Elasticsearch.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

AltexSoft

OCTOBER 8, 2021

MySQL), file stores (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

ProjectPro

FEBRUARY 18, 2022

Grafana generates graphs by connecting to various sources such as influxDB and MySQL. Source Code- Real-Time E-commerce Dashboard with Spark, Grafana, and InfluxDB Build an End-to-End ETL Pipeline on AWS EMR Cluster Sales data aids in decision-making, better knowledge of your clients, and enhances future performance inside your company.

Project 52

Project AWS Kafka Healthcare 52

AltexSoft

AUGUST 29, 2023

Common structured data sources include SQL databases like MySQL, Oracle, and Microsoft SQL Server. Tools often used for batch ingestion include Apache Nifi, Flume, and traditional ETL tools like Talend and Microsoft SSIS. Semi-structured data sources. Examples include HTML, XML, and JSON files.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

MAY 2, 2024

It does work with a variety of other Data sources like Cassandra, MySQL, AWS S3 etc. Due to an increasing volume of data day by day, the tradition ETL tools like Informatic along with RDBMS are not able to meet the SLAs as they are not able to scale horizontally.

Scala 52

Scala Hospitality Machine Learning Healthcare 52

ProjectPro

DECEMBER 7, 2021

Talend Projects For Practice: Learn more about the working of the Talend ETL tool by working on this unique project idea. Talend Real-Time Project for ETL Process Automation This Talend big data project will teach you how to create an ETL pipeline in Talend Open Studio and automate file loading and processing.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JULY 27, 2021

E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing. Since non-RDBMS are horizontally scalable, they can become more powerful and suitable for large or constantly changing datasets.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Data Engineering Weekly

JANUARY 6, 2023

Our work required metadata, which we scraped from BigQuery, MySQL, Airflow, and other systems in an ad-hoc way. Data quality, data contract, data discovery, compliance, governance, and ETL tools all need metadata–row counts, cardinality, distribution, max, min, number of nulls, and so on.

Metadata 40

Metadata ETL Tools MySQL Data Lake 40