O'Reilly Media - Data
SEPTEMBER 11, 2018
The problem is that data lasts a long time and takes a long time to move. The life cycle of data is very different than the life cycle of applications. Upgrading an application is a common occurrence, but data has to live across multiple such upgrades. The implications for big data.
TechCrunch
SEPTEMBER 30, 2021
Data centers are taking on ever-more specialized chips to handle different kinds of workloads, moving away from CPUs and adopting GPUs and other kinds of accelerators to handle more complex and resource-intensive computing demands. “We were grossly oversubscribed for this round,” he said.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
O'Reilly Media - Data
AUGUST 16, 2018
The deployment of big data tools is being held back by the lack of standards in a number of growth areas. Technologies for streaming, storing, and querying big data have matured to the point where the computer industry can usefully establish standards. Applications cannot swap storage engines if needed.
CTOvision
APRIL 27, 2020
Read Shinie Bentotahewa and Chaminda Hewage take a look at the challenges and obstacles faced by Big Data applications due to the GDPR on Infosec Magazine : The primary focus of the General Data Protection Regulation (GDPR) framework is on protecting the rights of individuals to privacy, without compromising their personal data stored by state […]. (..)
TechCrunch
AUGUST 4, 2022
As with the larger opportunity in enterprise IT, big data players like LiveEO are essentially the second wave of that development: applications built leveraging that infrastructure. Image Credits: LiveEO (opens in a new window) under a CC BY 2.0 opens in a new window) license. “That is what we are doing at scale.”
AWS Machine Learning - AI
NOVEMBER 6, 2024
Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning. For more information on how to manage model access, see Access Amazon Bedrock foundation models.
CIO
JUNE 14, 2023
Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.
Expert insights. Personalized for you.
226 
Let's personalize your content