Sisense

SEPTEMBER 3, 2019

Fundamentally they are different than transactional databases we’ve seen in the past, and before we jump into how to build your data warehouse, it’s important to understand that distinction. OLTP vs OLAP. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing).

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

Data Virtualization

OCTOBER 28, 2020

Organizations today need a data architecture that can overcome a double challenge: satisfy new business needs that require more agility and self-service capabilities, while at the same time dealing with a growing, diverse, and fast-moving data ecosystem (new data sources,

Data Architecture 59

Data Architecture OLAP Data Warehouse Technology 59

AWS Big Data

AUGUST 1, 2024

Success criteria alignment by all stakeholders (producers, consumers, operators, auditors) is key for successful transition to a new Amazon Redshift modern data architecture. The success criteria are the key performance indicators (KPIs) for each component of the data workflow.

Data Warehouse 107

Data Warehouse KPI Optimization Cost-Benefit 107

AWS Big Data

OCTOBER 18, 2023

To connect to the Azure Synapse source data warehouse, choose Add source. For Connection name , enter a name (for example, olap-azure-synapse ). He is deeply passionate about Data Architecture and helps customers build analytics solutions at scale on AWS. Choose Azure Synapse and choose Next.

Analytics 110

Analytics Data Warehouse Dashboards Testing 110

TDAN

JULY 17, 2024

They are interesting to an extent, but mostly, they feel like a late-night re-run and remind me that data work is hard. If you haven’t heard about metrics stores yet, they’re “newish,” so you likely will. So, what is a metrics store? Most of the young vendors trying to create this category will tell you that […]

Metrics 52

Metrics OLAP Data Lake Data Architecture 52

Jet Global

MAY 1, 2023

Data Environment First off, the solutions you consider should be compatible with your current data architecture. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source. Requirement ODBC/JDBC Used for connectivity.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52