IBM Big Data Hub

MARCH 29, 2024

Time-series metrics are a collection of data that is taken at regular intervals such as monthly sales data, or daily application traffic. Clear visibility into this type of data offers insights into patterns, trends and predictions for business planning. Prometheus uses PromQL to aggregate data and metrics.

Metrics 85

Metrics Visualization Measurement Optimization 85

Depict Data Studio

MAY 12, 2020

In April, I sat down with Amanda Makulec, one of my longtime data and evaluation friends, to learn about visualizing COVID-19 responsibly. Amanda is the Data Visualization Capability Lead at Excella; a co-organizer for Dataviz DC; and the Operations Director for the Data Visualization Society (DVS).

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

datapine

NOVEMBER 19, 2019

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. Visual analytics: Around three million images are uploaded to social media every single day. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

AUGUST 15, 2023

Mugunth Vaithylingam, CIO, College of Southern Nevada College of Southern Nevada Teams overseen by CSN CIO Mugunth Vaithylingam combined custom AI visuals, voice, and content to create this first-of-its-kind custom avatar, which is deployed and rendered from a web browser using client-side CPUs.

IT 91

IT Manufacturing IoT Cost-Benefit 91

Alation

JANUARY 17, 2023

Data would be pulled from various sources, organized into, say, a table, and loaded into a data warehouse for mass consumption. This was not only time-consuming, but the growing popularity of cloud data warehouses compelled people to rethink this process. There are two types of data warehouses: on-premises and cloud-based.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Cloudera

JANUARY 21, 2021

Cloudera’s Data Warehouse service allows raw data to be stored in the cloud storage of your choice (S3, ADLSg2). It will be stored in your own namespace, and not force you to move data into someone else’s proprietary file formats or hosted storage. Your data warehouse is ready. Tableau, Qlik, Power BI, etc).

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

datapine

FEBRUARY 22, 2022

Before going all-in with data collection, cleaning, and analysis, it is important to consider the topics of security, privacy, and most importantly, compliance. Businesses deal with massive amounts of data from their users that can be sensitive and needs to be protected. Ensure data literacy. click to enlarge**.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Jet Global

MAY 1, 2023

We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Plus, there is an expectation that tools be visually appealing to boot. They have mastered the art of displaying data in an intuitive way while at the same time driving effortless transactions in their products.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52