Monte Carlo

DECEMBER 4, 2023

Simply ask ChatGPT to leverage popular tools or libraries associated with each destination. I'd like to import this data into my MySQL database into a table called products_table. Partitioning techniques Our sales_data table in MySQL has grown tremendously, containing records spanning several years.

PostgreSQL 52

PostgreSQL Data Lake ETL Tools MySQL 52

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

ProjectPro

JUNE 6, 2025

Airflow is an open-source workflow management tool by Apache Software Foundation (ASF), a community that has created a wide variety of software products, including Apache Hadoop , Apache Lucene, Apache OpenOffice, Apache CloudStack, Apache Kafka , and many more. Is Apache Airflow an ETL tool? Similarly many more!

MySQL 64

MySQL Python SQL Database 64

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. The connector does require installing and managing additional tooling, Kafka Connect.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

ProjectPro

FEBRUARY 18, 2022

This project generates user purchase events in Avro format over Kafka for the ETL pipeline. The events from the Kafka streams are pushed to influxDB through Kafka connect. Grafana generates graphs by connecting to various sources such as influxDB and MySQL. To begin, gather data and enter it into Kafka.

Project 52

Project Kafka AWS Healthcare 52

ProjectPro

JUNE 6, 2025

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

JANUARY 28, 2022

Rockset works well with a wide variety of data sources, including streams from databases and data lakes including MongoDB , PostgreSQL , Apache Kafka , Amazon S3 , GCS (Google Cloud Service) , MySQL , and of course DynamoDB. Results, even for complex queries, would be returned in milliseconds.

NoSQL 52

NoSQL MongoDB PostgreSQL ETL Tools 52

ProjectPro

JUNE 6, 2025

E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers How is a data warehouse different from an operational database? Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

DECEMBER 7, 2021

You can use big-data processing tools like Apache Spark , Kafka , and more to create such pipelines. Source Code: Build a Data Pipeline using Airflow, Kinesis, and AWS Snowflake Apache Kafka The primary feature of Apache Kafka , an open-source distributed event streaming platform, is a message broker (also known as a distributed log).

Data Pipeline 52

Data Pipeline Architecture Kafka Data Lake 52

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

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. 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. Pricing model. Suitable for.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

Knowledge Hut

MAY 2, 2024

It does work with a variety of other Data sources like Cassandra, MySQL, AWS S3 etc. Spark Streaming comes with Spark and one does not need to use any other streaming tools or APIs. Spark streaming also has in-built connectors for Apache Kafka which comes very handy while developing Streaming applications.

Scala 52

Scala Hospitality Retail 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. Apache Kafka and AWS Kinesis are popular tools for handling real-time data ingestion.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

JULY 27, 2021

E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers How is a data warehouse different from an operational database? Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing.

Data Engineer 40

Data Engineer Data Engineering 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. Recap is a young project.

Metadata 40

Metadata ETL Tools MySQL Data Lake 40