dbt Developer Hub

NOVEMBER 3, 2022

Let’s discuss how to convert events from an event-driven microservice architecture into relational tables in a warehouse like Snowflake. In the past we relied upon an ETL tool (Stitch) to pull data out of microservice databases and into Snowflake. However, BI tools and dbt models aren’t typically written this way.

Kafka 52

Kafka ETL Tools BI Database 52

ProjectPro

OCTOBER 28, 2015

Apache Sqoop and Apache Flume are two popular open source etl tools for hadoop that help organizations overcome the challenges encountered in data ingestion. Table of Contents Hadoop ETL tools: Sqoop vs Flume-Comparison of the two Best Data Ingestion Tools What is Sqoop in Hadoop?

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Lyft Engineering

OCTOBER 3, 2023

For example, we can almost instantly validate that each record is well-formed and complete during event generation. Our Analytic Event Lifecycle below demonstrates the workflow of how much of our data gets to Hive. We log these events asynchronously at the order of millions per second.

Big Data 84

Big Data Metadata Data Warehouse Data 84

ProjectPro

FEBRUARY 16, 2023

The process of data extraction from source systems, processing it for data transformation, and then putting it into a target data system is known as ETL, or Extract, Transform, and Load. ETL has typically been carried out utilizing data warehouses and on-premise ETL tools. But cloud computing is preferred over the other.

AWS 52

AWS Data Management ETL Tools Management 52

Maxime Beauchemin

JANUARY 20, 2017

The fact that ETL tools evolved to expose graphical interfaces seems like a detour in the history of data processing, and would certainly make for an interesting blog post of its own. Let’s highlight the fact that the abstractions exposed by traditional ETL tools are off-target.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Cloudera

JUNE 16, 2022

For governance and security teams, the questions revolve around chain of custody, audit, metadata, access control, and lineage. Apache Flink is a distributed processing engine for stateful computations ideally suited for real-time, event-driven applications.

Kafka 86

Kafka Manufacturing Data Lake SQL 86

AltexSoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. Learn about scheduled online and live meetups on the Kafka Events page.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93