Smart Data Collective

JANUARY 26, 2021

However, big data often encapsulates using constantly growing data sets to determine business intelligence objectives, such as when to expand into a new market, which product might perform overseas, and which regions to expand into. How Does Big Data Architecture Fit with a Translation Company?

Data Architecture 121

Data Architecture Big Data Data Strategy Data-driven 121

Alation

NOVEMBER 2, 2022

Alation has raised $123M in Series E funding at a valuation of in excess of $1.7B, a material increase from the Series D round in June of last year, particularly in the context of the recent stock-market decline. So why invest now, and in this turbulent market? Sands sees that market need as a major product opportunity.

Data Governance 98

Data Governance Marketing Finance Data Lake 98

AWS Big Data

NOVEMBER 14, 2023

In this post, we show how Wallapop adopted Redshift Serverless and data sharing to modernize their data warehouse architecture. Wallapop’s initial data architecture platform Wallapop is a Spanish ecommerce marketplace company focused on second-hand items, founded in 2013.

Data Warehouse 59

Data Warehouse Analytics Testing Cost-Benefit 59

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 97

Data Warehouse Data Lake Analytics Machine Learning 97

Alation

JULY 7, 2022

Two data-driven careers. In 2013 I joined American Family Insurance as a metadata analyst. What roles will they be filling, not just in data-driven businesses, but in a data driven-society? In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Jet Global

MAY 1, 2023

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52