Cloudera

NOVEMBER 25, 2021

This extends our CDP performance advantage, provides fine-grained security in S3 Storage, and adaptive autoscaling with Elastic Kubernetes Service to deliver more savings. Customer use cases can be grouped into three categories. . Common Use Cases for Cloud and Data Solutions .

Machine Learning 90

Machine Learning IoT Risk Business Objectives 90

Insight

AUGUST 12, 2019

For a good overview of what DevOps entails and how to transition, check out this blog post. DevOps Engineers must be both good software developers and infrastructure experts and, as such, they are expected to know Linux infrastructure, networking, algorithms, and DevOps tools such as Terraform, Docker, and Kubernetes.

Software 65

Software Data-driven Testing Interactive 65

IBM Big Data Hub

MAY 12, 2023

A global fast-moving consumer goods (FMCG) enterprise needed to modernize its product portfolio, focusing on high-growth categories like pet care, coffee and consumer health.

Consulting 74

Consulting Cost-Benefit Dashboards Optimization 74

Cloudera

MAY 17, 2021

The Forrester Wave TM : Cloud Data Warehouse, Q1 2021 which helps rank and measure providers that matter most and how they measure up in key categories. These values are equally present in private cloud, based on openshift, or in public cloud, using kubernetes.

Data Warehouse 90

Data Warehouse Measurement Reporting Testing 90

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. Assumptions. In our data adventure we assume the following: . Company data exists in the data lake.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

IBM Big Data Hub

SEPTEMBER 20, 2023

These can broadly be described in two categories: Time/cost to deploy: Each deployment consists of several layers of hardware and software that need to be installed, configured and tested prior to deployment. This enables enterprises to scale AI deployments at the edge, reducing the time and cost to deploy with faster response times.

Modeling 83

Modeling Enterprise Software Data Science 83

IBM Big Data Hub

DECEMBER 20, 2023

Cloud computing services and management products fall into three primary categories: Software-as-a-Service (SaaS) offers applications hosted on a cloud server and distributed to end-users over the public internet. Hybrid multiclouds are typically built on open-source , cloud-native technologies like Kubernetes.

Strategy 93

Strategy Cost-Benefit Digital Transformation Optimization 93

Insight

MARCH 25, 2020

In this blog, I will share how I built Pair , a scalable web application that takes in a product image, analyzes its design features using convolutional neural network, and recommends products in other categories with similar style elements. Multiple such index libraries are generated for different furniture categories.

Deep Learning 53

Deep Learning Metrics Data Processing Interactive 53

AWS Big Data

SEPTEMBER 12, 2024

In this blog post, we will highlight how ZS Associates used multiple AWS services to build a highly scalable, highly performant, clinical document search platform. The LLMs are hosted on Amazon Elastic Kubernetes Service (Amazon EKS) with GPU-enabled node groups to ensure rapid inference processing.

Unstructured Data 111

Unstructured Data Metadata Machine Learning Consulting 111

IBM Big Data Hub

JANUARY 18, 2023

Just as Istio applies security governance to containers in Kubernetes, the data fabric will apply policies to data according to similar principles, in real time. Here, data assets can be published into categories, creating an enterprise-wide data marketplace. appeared first on Journey to AI Blog. Data discoverability.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52