CIO Business Intelligence

MAY 20, 2022

Modernizing a utility’s data architecture. These capabilities allow us to reduce business risk as we move off of our monolithic, on-premise environments and provide cloud resiliency and scale,” the CIO says, noting National Grid also has a major data center consolidation under way as it moves more data to the cloud.

IT 99

IT Digital Transformation Internet of Things Data Architecture 99

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Data Processing 85

Data Processing IoT Cost-Benefit Digital Transformation 85

Cloudera

SEPTEMBER 8, 2022

for machine learning), and other enterprise policies. With the volumes of data in telco accelerating with the rapid advancement of 5G and IoT, the time is now to modernize the data architecture. .

Data Governance 78

Data Governance B2B Data Architecture IoT 78

CIO Business Intelligence

AUGUST 7, 2023

While the changes to the tech stack are minimal when simply accessing gen AI services, CIOs will need to be ready to manage substantial adjustments to the tech architecture and to upgrade data architecture. Shapers want to develop proprietary capabilities and have higher security or compliance needs.

Modeling 91

Modeling Sales Cost-Benefit Data Processing 91

Cloudera

NOVEMBER 17, 2022

Farrukh Cheema, Client Engagement Partner, Blutech Consulting said, “Our goal for Habib Bank was a modern unified data platform that is built for growth and the analytics demands of tomorrow. The post Habib Bank manages data at scale with Cloudera Data Platform appeared first on Cloudera Blog.

Management 84

Management Data Lake Consulting Unstructured Data 84

CIO Business Intelligence

FEBRUARY 28, 2024

A retail company, for example, might have a 360-degree view of customers, which is all fed into analytics engines, machine learning, and other traditional AI to calculate the next best action. So by using the company’s data, a general-purpose language model becomes a useful business tool. They’re not great for knowledge.”

IT 119

IT Consulting Modeling Enterprise 119

Ontotext

DECEMBER 1, 2023

Most organisations are missing this ability to connect all the data together. from Q&A with Tim Berners-Lee ) Finally, Sumit highlighted the importance of knowledge graphs to advance semantic data architecture models that allow unified data access and empower flexible data integration.

Metadata 78

Metadata Sales Consulting Enterprise 78

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. Supporting multiple data formats and types to enable enrichment of data assets for different use cases and finally. In particular, SDX enables clients to: .

Cost-Benefit 79

Cost-Benefit Data Warehouse Data Processing Data Governance 79

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. times more effective than traditional mass marketing.

Internet Publishing and Broadcasting 121

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 121

Cloudera

AUGUST 11, 2022

But information broadly, and the management of data specifically, is still “the” critical factor for situational awareness, streamlined operations, and a host of other use cases across today’s tech-driven battlefields. . military installations spread across the globe.

Predictive Analytics 92

Predictive Analytics Data-driven Data Processing Data Architecture 92

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 115

Data Lake Analytics Dashboards Metrics 115

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK).

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

CIO Business Intelligence

AUGUST 10, 2022

Some organisations, for example, remain steadfastly off the cloud, making it difficult to leverage AI and machine learning capabilities, while others suffer from disorganised data architecture that can lead to incomplete or inaccessible analytics, vital for informing business strategy and enabling personalised experiences.

Data-driven 52

Data-driven Data Processing Risk Data Architecture 52

Cloudera

AUGUST 28, 2018

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Enterprise Machine Learning. TECHNICAL IMPACT.

Digital Transformation 65

Digital Transformation Consulting Machine Learning IoT 65

AWS Big Data

OCTOBER 18, 2023

Many customers migrate their data warehousing workloads to Amazon Redshift and benefit from the rich capabilities it offers, such as the following: Amazon Redshift seamlessly integrates with broader data, analytics, and AI or machine learning (ML) services on AWS , enabling you to choose the right tool for the right job.

Analytics 98

Analytics Data Warehouse Testing Dashboards 98

AWS Big Data

JULY 14, 2023

In this post, we discuss how the Amazon Finance Automation team used AWS Lake Formation and the AWS Glue Data Catalog to build a data mesh architecture that simplified data governance at scale and provided seamless data access for analytics, AI, and machine learning (ML) use cases.

Finance 86

Finance Metadata Big Data Recreation/Entertainment 86

AWS Big Data

MAY 30, 2024

The system had an integration with legacy backend services that were all hosted on premises. Solution overview Amazon Redshift is an industry-leading cloud data warehouse.

Data Warehouse 85

Data Warehouse Data Lake Cost-Benefit Structured Data 85

datapine

AUGUST 20, 2019

Big data: Architecture and Patterns. The Big data problem can be comprehended properly using a layered architecture. Big data architecture consists of different layers and each layer performs a specific function. The architecture of Big data has 6 layers. Artificial Intelligence. Self-Service.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

FineReport

MARCH 31, 2024

The selection of the best BI tools stands as a critical step in leveraging data effectively, driving success, and maintaining competitive advantage in modern markets. Data-driven Decisions: BI tools empower businesses to make informed decisions by furnishing actionable insights, optimizing operations, and uncovering growth opportunities.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

AWS Big Data

JUNE 7, 2023

Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. The job runs in the target account.

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

Cloudera

SEPTEMBER 7, 2023

Just like the open-source system, database, and machine learning (ML) technologies of the past, AI models are narrowing the gap with proprietary alternatives at an incredibly rapid pace. Find out more about CDP, modern data architectures and AI here. There’s one more thing. Even more training and upskilling.

Insurance 81

Insurance Risk Data-driven Finance 81

AWS Big Data

MARCH 10, 2023

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. Additionally, the task of maintaining and managing files in the data lake can be tedious and sometimes complex. Data can be organized into three different zones, as shown in the following figure.

Data Lake 105

Data Lake Sales Data Warehouse Snapshot 105

AWS Big Data

MARCH 27, 2023

An essential capability needed in such a data lake architecture is the ability to continuously understand changes in the data lakes in various other domains and make those available to data consumers. The data mesh producer account hosts the encrypted S3 bucket, which is shared with the central governance account.

Data Lake 88

Data Lake Data-driven Management Data Architecture 88

AWS Big Data

APRIL 28, 2023

When building a scalable data architecture on AWS, giving autonomy and ownership to the data domains are crucial for the success of the platform. Solution overview In the first post of this series, we explained how Novo Nordisk and AWS Professional Services built a modern data architecture based on data mesh tenets.

Data Governance 65

Data Governance Management Data-driven Data Lake 65

AWS Big Data

MARCH 26, 2024

This can be achieved using AWS Entity Resolution , which enables using rules and machine learning (ML) techniques to match records and resolve identities. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Jet Global

MAY 1, 2023

Data Environment First off, the solutions you consider should be compatible with your current data architecture. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source. Do what you expect your customers to do.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52