AltexSoft

OCTOBER 21, 2022

Kafka can continue the list of brand names that became generic terms for the entire type of technology. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka?

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

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 Machine Learning Business Intelligence 97

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 AWS Kafka Healthcare 52

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 PostgreSQL MongoDB ETL Tools 52

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 AWS 52