Data Engineering Podcast

NOVEMBER 4, 2021

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. Go to dataengineeringpodcast.com/montecarlo and start trusting your data with Monte Carlo today!

Data Warehouse 100

Data Warehouse Business Intelligence ETL System Data Lake 100

Grouparoo

OCTOBER 26, 2021

Origin The origin of a data pipeline refers to the point of entry of data into the pipeline. This includes the different possible sources of data such as application APIs, social media, relational databases, IoT device sensors, and data lakes. Thus, ETL systems are a subset of the broader term, “data pipeline”.

Data Pipeline 52

Data Pipeline ETL Tools Data Warehouse ETL System 52

Striim

AUGUST 31, 2023

Treating batch and streaming as separate pipelines for separate use cases drives up complexity, cost, and ultimately deters data teams from solving business problems that truly require data streaming architectures.

Data Integration 69

Data Integration Architecture Amazon Web Services Machine Learning 69

Knowledge Hut

NOVEMBER 28, 2023

The cloud could also be full of semi-structured or unstructured data with more than 225 no SQL schema data stores, which makes it one of the most important skills to be thorough with. The data storage platform you choose should be optimized to work effectively within your organization's budget constraints.

Data Engineer 52

Data Engineer Data Engineering Engineering Generalist 52

ProjectPro

NOVEMBER 30, 2021

Incremental Extraction Each time a data extraction process runs (such as an ETL pipeline), only new data and data that has changed from the last time are collected—for example, collecting data through an API. Using Delta Lake, you can use Databricks notebooks and your SQL expertise to query your data lake.

Process 52

Process Data Warehouse Data Pipeline AWS 52