Remove Agile Remove Analytics Remove IoT Remove Pharmaceuticals
article thumbnail

Data Lake vs Data Warehouse

The Crazy Programmer

While both a data lake and a data warehouse share the goal of the process data queries to facilitate analytics, their functions are different. A data lake is a repository that holds raw data, of which the purpose is not yet defined or requires a very high level of flexibility and agility. What is Data Lake?

Data 162
article thumbnail

Enable Transparent Tracking with NextGen Technologies for Cold Chain Logistics

Trigent

For the range of supplies labeled as perishables, particularly pharmaceuticals and food (produces), quality expires with time as they maintain chemical reactions, which can mostly be alleviated with lower temperatures. The use of real-time data enables real-time analytics and response. Every delay can have negative consequences.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Highlights from AWS CEO Adam Selipsky’s Keynote at re:Invent

Perficient

He also mentioned how Airbnb was better able to weather the downturn in demand in the hospitality industry during the COVID-19 pandemic because they were an early adopter of the cloud, which allowed them to operate more efficiently and be more agile. Amazon Redshift Integration for Apache Spark. Announcing Amazon OpenSearch Serverless.

AWS 64
article thumbnail

Digital Transformation in Healthcare: 7 Key Trends for 2023

Openxcell

The healthcare industry gains a lot from integrating cutting-edge technology like AI, Big Data, and IoT. These technologies offer agility to boost healthcare organizations’ operational effectiveness and enhance patients’ overall experiences. Technology such as Big Data, IoT, Web 3.0,

article thumbnail

And the winners are…. Congratulations to the Sixth Annual Data Impact Awards winners

Cloudera

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. It was deeply gratifying to see so many organizations deploying the tools and techniques of data science and advanced analytics to solve difficult and important problems.

article thumbnail

Data Virtualization: Process, Components, Benefits, and Available Tools

Altexsoft

Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. Then a variety of consumer applications and tools, each with its own semantic layer, can make use of that data for BI analytics and other tasks.

article thumbnail

Asset Tracking in Logistics: When and Which Technologies to Implement

Altexsoft

The same technologies can also be used to track people within the facility (mainly for security, navigation, or analytics purposes). food, pharmaceuticals, or military goods production), there are strict regulations and compliance requirements. Check our article to know more about how predictive maintenance works.