AWS Big Data

MARCH 26, 2024

You can use the same capabilities to serve financial reporting, measure operational performance, or even monetize data assets. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

datapine

AUGUST 20, 2019

Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc. The gigantic evolution of structured, unstructured, and semi-structured data is referred to as Big data. Self-Service.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

Ontotext

MAY 18, 2020

The capacity and performance of supercomputers is measured with the so-called FLOPS (floating point operations per second). Both the information inferred from the image analysis and from the raw textual data in the EHR records needs to be semantically normalized in order to be used for the generation of the multimodal knowledge graph.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

datapine

MAY 27, 2020

It is possible to structure data across a broad range of spreadsheets, but the final result can be more confusing than productive. By using an online dashboard , you will be able to gain access to dynamic metrics and data in a way that’s digestible, actionable, and accurate.

Reporting 245

Reporting Analytics Dashboards Sales 245

CIO Business Intelligence

JUNE 14, 2023

Admittedly, it’s still pretty difficult to visualize this difference. This can be achieved by utilizing dense storage nodes and implementing fault tolerance and resiliency measures for managing such a large amount of data. Consider data types. Here is how Cloudera visualizes and controls the data lifecycle.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64