Start Data Engineering

JULY 11, 2020

Intro A very common use case in data engineering is to build a ETL system for a data warehouse, to have data loaded in from multiple separate databases to enable data analysts/scientists to be able to run queries on this data, since the source databases are used by your applications and we do not want these analytic queries to affect our application (..)

Systems 130

Systems Designing ETL System Data Warehouse 130

Data Engineering Podcast

NOVEMBER 4, 2021

Summary The precursor to widespread adoption of cloud data warehouses was the creation of customer data platforms. Acting as a centralized repository of information about how your customers interact with your organization they drove a wave of analytics about how to improve products based on actual usage data.

Data Warehouse 100

Data Warehouse Business Intelligence ETL System Data Lake 100

Grouparoo

FEBRUARY 9, 2022

ETL testing is also used to verify that the ETL process runs smoothly without any bottlenecks or major performance issues. The testing process is often performed during the initial setup of a data warehouse after new data sources are added to a pipeline and after data integration and migration projects.

Process 52

Process ETL System Data Warehouse Metadata 52

Grouparoo

OCTOBER 26, 2021

This includes the different possible sources of data such as application APIs, social media, relational databases, IoT device sensors, and data lakes. This may include a data warehouse when it’s necessary to pipeline data from your warehouse to various destinations as in the case of a reverse ETL pipeline.

Data Pipeline 52

Data Pipeline ETL Tools ETL System Data Warehouse 52

Knowledge Hut

NOVEMBER 28, 2023

Data Pipelines Data lakes continue to get new names in the same year, and it becomes imperative for data engineers to supplement their skills with data pipelines that help them work comprehensively with real-time streams, daily occurrence raw data, and data warehouse queries.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

ProjectPro

SEPTEMBER 30, 2014

"Hadoop is a key ingredient in allowing LinkedIn to build many of our most computationally difficult features, allowing us to harness our incredible data about the professional world for our users," said Jay Kreps, Principal Engineer, LinkedIn.

Hadoop 52

Hadoop Unstructured Data ETL Tools ETL System 52

Ascend.io

DECEMBER 21, 2022

The last three years have seen a remarkable change in data infrastructure. ETL changed towards ELT. Now, data teams are embracing a new approach: reverse ETL. Cloud data warehouses, such as Snowflake and BigQuery, have made it simpler than ever to combine all of your data into one location.

ETL Tools 52

ETL Tools ETL System Data Warehouse Data Consolidation 52