Ascend.io

DECEMBER 11, 2023

Data pipeline orchestration is characterized by a detailed understanding of pipeline events and processes. In comparison, general data orchestration does not offer this degree of contextual insight Why Data Orchestration Is Important (But an Unnecessary Complication?) Not every team needs data orchestration.

Data Workflow 52

Data Workflow Data Pipeline Data Lake Data 52

AltexSoft

MARCH 14, 2023

Moreover, over 20 percent of surveyed companies were found to be utilizing 1,000 or more data sources to provide data to analytics systems. These sources commonly include databases, SaaS products, and event streams. Databases store key information that powers a company’s product, such as user data and product data.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Ripple Engineering

MAY 27, 2021

At Ripple , we are moving towards building complex business models out of raw data. A prime example of this was the process of managing our data transformation workflows. This enables our analysts to focus on data curation and modelling rather than infrastructure. SQL Models A model is a single.sql file.

Building 52

Building Raw Data SQL Data 52

Data Engineering Weekly

JANUARY 15, 2023

. 🎯 I defined the modern data stack sometime back as; @sarahmk125 MDS is a set of vendor tools that solve niche data problems (lineage, orchestration, quality) with the side effect of creating a disjointed data workflow that makes data folks lives more complicated.","username":"ananthdurai","name":"at-ananth-at-data-folks

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Monte Carlo

APRIL 24, 2023

During data ingestion, raw data is extracted from sources and ferried to either a staging server for transformation or directly into the storage level of your data stack—usually in the form of a data warehouse or data lake. There are two primary types of raw data.

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

Hepta Analytics

FEBRUARY 14, 2022

When the business intelligence needs change, they can go query the raw data again. ELT: source Data Lake vs Data Warehouse Data lake stores raw data. The purpose of the data is not determined. The data is easily accessible and is easy to update. It is called Idempotency.

Data Ingestion 52

Data Ingestion Data Engineering Data Engineer Engineering 52

Monte Carlo

JUNE 14, 2023

Airbyte – An open source platform that easily allows you to sync data from applications. Data streaming ingestion solutions include: Apache Kafka – Confluent is the vendor that supports Kafka, the open source event streaming platform to handle streaming analytics and data ingestion.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52