Cloudera

JUNE 25, 2019

Cloudera Unveils Industry’s First Enterprise Data Cloud in Webinar. Over 2000 customers and partners joined us in this live webinar featuring a first-look at our upcoming cloud-native CDP services. Cloudera received extraordinary interest in CDP from participants, exemplified by the more than 300 questions posed throughout the webinar.

Enterprise 87

Enterprise Cloud Data Data Center 87

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Machine Learning Artificial Inteligence Data 40

d2iq

AUGUST 29, 2022

AI and Kubernetes a Perfect Match Another force driving Kubernetes adoption is the rapid maturation of artificial intelligence (AI) and machine learning (ML). One growth area, in particular, Casey notes, is the natural pairing of Kuberntes with artificial intelligence (AI) and machine learning (ML), which he calls a “star duo.”

Survey 87

Survey Artificial Inteligence Serverless Artificial Intelligence 87

Cloudera

APRIL 9, 2021

However, legacy data warehouses have limited support for public and private cloud deployment architectures. Many data warehouse solutions use highly specialised scale-up hardware appliances consisting of hyper-converged, tightly coupled compute and storage. Efficiency. Price-Performance. Conclusion.

Data 58

Data Software Review Technical Review Architecture 58

Cloudera

NOVEMBER 2, 2020

Data streamed in is queryable in conjunction with historical data, avoiding need for Lambda Architecture. Figure 1 below shows a standard architecture for a Real-Time Data Warehouse. It has the key elements of fast ingest, fast storage, and immediate querying for BI purposes. Basic Architecture for Real-Time Data Warehousing.

Data 97

Data Analytics Storage Big Data 97

Cloudera

MAY 25, 2021

A modern streaming architecture supported by an enterprise data cloud meets the needs of today’s real-time data, driven by new connected data sources, and their sophisticated integration across business processes. Moreover, the ability to acquire and process data in real-time unlocks new possibilities through the use of machine learning.

Automotive 73

Automotive Analytics Construction Insurance 73

Actian

JULY 26, 2019

Hybrid infrastructure support: How well does your future warehouse need to support the various current and future operational requirements of your organization by enabling secure access from anywhere, ingesting data in real time, and providing elasticity to increase or decrease compute and storage resources when you need to?

Cloud 40

Cloud Data Analytics Case Study 40

AWS Machine Learning - AI

FEBRUARY 19, 2024

The popular architecture pattern of Retrieval Augmented Generation (RAG) is often used to augment user query context and responses. Internally, Amazon Bedrock uses embeddings stored in a vector database to augment user query context at runtime and enable a managed RAG architecture solution.

Knowledge Base 92

Knowledge Base Artificial Inteligence Applications Lambda 92

AWS Machine Learning - AI

APRIL 23, 2024

However, to unlock the long-term success and viability of these AI-powered solutions, it is crucial to align them with well-established architectural principles. After you create a knowledge base, you need to create a data source from the Amazon Simple Storage Service (Amazon S3) bucket containing the files for your knowledge base.

Knowledge Base 97

Knowledge Base Scalability Applications Generative AI 97