Smart Data Collective

APRIL 2, 2019

Data Lakes are among the most complex and sophisticated data storage and processing facilities we have available to us today as human beings. Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation.

Data Lake 106

Data Lake Big Data OLAP Testing 106

AWS Big Data

AUGUST 6, 2024

Online Analytical Processing (OLAP) is crucial in modern data-driven apps, acting as an abstraction layer connecting raw data to users for efficient analysis. It organizes data into user-friendly structures, aligning with shared business definitions, ensuring users can analyze data with ease despite changes.

OLAP 108

OLAP Analytics Visualization Dashboards 108

AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 93

Analytics Data Warehouse Data Lake Metadata 93

TDAN

JULY 17, 2024

If you haven’t heard about metrics stores yet, they’re “newish,” so you likely will. They are interesting to an extent, but mostly, they feel like a late-night re-run and remind me that data work is hard. 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

OCTOBER 7, 2020

In the future, customers will be able to deploy Data Entities and replicate transactional tables in an Azure Data Lake. Jet Analytics provides a pre-built data warehouse , OLAP cubes , and tabular models with a platform for non-technical users to easily create their own reports in Excel or Power BI.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

AWS Big Data

AUGUST 1, 2024

The success criteria are the key performance indicators (KPIs) for each component of the data workflow. This includes the ETL processes that capture source data, the functional refinement and creation of data products, the aggregation for business metrics, and the consumption from analytics, business intelligence (BI), and ML.

Data Warehouse 113

Data Warehouse KPI Optimization Cost-Benefit 113

BizAcuity

APRIL 1, 2023

Data governance and security measures are critical components of data strategy. KPI Analysis: the process of evaluating the performance of an organization using a set of measurable metrics infrastructure: refers to the hardware, software, and other key resources that are used to manage, maintain and analyze data within an organization.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52