BizAcuity

SEPTEMBER 22, 2022

Teradata is an integrated platform that provides functionality to store, access, and analyze organizational data on the Cloud as well as On-Premise infrastructure. Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format. Data disk space allocation.

Optimization 52

Optimization Data Warehouse Management Modeling 52

Sisense

JULY 10, 2019

Before jumping headlong into merely porting code from one OS to the other, it was necessary to think whether it made sense to migrate all components as-is or instead, to see what language or architecture would work best for the task at hand. We also recruited Java experts to help guide and govern the design. Data connectors.

IT 69

IT Testing Technology Sales 69

IBM Big Data Hub

MARCH 21, 2024

Low-band 5G transmits data on frequencies between 600 and 900 MHz Mid-band 5G transmits between 1 and 6 GHz High-band 5G transmits from 24 to 47 GHz. Like previous wireless technology standards, such as 3G, 4G and 4G LTE, 5G sends and receives data on radio waves. Here are some key differences between 5G and its predecessors.

IoT 96

IoT Internet of Things Technology Enterprise 96

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data-driven 73

Data-driven Data Architecture Predictive Modeling Digital Transformation 73

Cloudera

AUGUST 9, 2022

The previous decade has seen explosive growth in the integration of data and data-driven insight into a company’s ability to operate effectively, yielding an ever-growing competitive advantage to those that do it well. Data is integral for both long-term strategy and day-to-day, or even minute-to-minute operation.

Data Lake 75

Data Lake Data Warehouse Data-driven IoT 75

IBM Big Data Hub

OCTOBER 12, 2023

Connecting AI models to a myriad of data sources across cloud and on-premises environments AI models rely on vast amounts of data for training. Once trained and deployed, models also need reliable access to historical and real-time data to generate content, make recommendations, detect errors, send proactive alerts, etc.

Cost-Benefit 83

Cost-Benefit Metadata Data Governance Modeling 83

Cloudera

OCTOBER 25, 2022

Enabling data and analytics in the cloud allows you to have infinite scale and unlimited possibilities to gain faster insights and make better decisions with data. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

Sisense

SEPTEMBER 23, 2019

The guidelines above are applicable to any API, but for simplicity, in this post, we assume the most widely used Web API architecture — REST over HTTP. Sure, you can publish a new version of the API someday (e.g., /api/v2/), api/v2/), but even then backward compatibility might still be a requirement).

Testing 89

Testing Strategy Modeling ROI 89

AWS Big Data

AUGUST 14, 2023

This post is the first in a series dedicated to the art and science of practical data mesh implementation (for an overview of data mesh, read the original whitepaper The data mesh shift ). Taken together, the posts in this series lay out some possible operating models for data mesh within an organization.

Management 79

Management Risk Measurement Optimization 79

Jet Global

MAY 1, 2023

The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. By leveraging data analysis to solve high-value business problems, they will become more efficient. This is in contrast to traditional BI, which extracts insight from data outside of the app.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52