CDW Research Hub

JULY 22, 2019

To do so, these companies need a modern data warehouse, such as Snowflake. Snowflake’s cloud-built data warehouse enables the data-driven enterprise with instant elasticity, secure data sharing, and per-second pricing across multiple clouds.

Data Warehouse 54

Data Warehouse Business Intelligence Structured Data Data Architecture 54

IBM Big Data Hub

JULY 5, 2022

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. Deploy a unified enterprise data platform that runs anywhere with Db2. An integrated multicloud data platform . Vektis improves healthcare quality through data .

Data Lake 99

Data Lake Data Warehouse Publishing Structured Data 99

AWS Big Data

NOVEMBER 9, 2023

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. Use case The Enterprise Data Analytics group of a large jewelry retailer embarked on their cloud journey with AWS in 2021. It’s raw, unprocessed data straight from the source.

Data Warehouse 100

Data Warehouse Testing Data Quality Reporting 100

Ontotext

JULY 26, 2019

In this article, we argue that a knowledge graph built with semantic technology (the type of Ontotext’s GraphDB) improves the way enterprises operate in an interconnected world. Such an approach, no matter what name we use for it, is all about improving the way enterprises operate in an interconnected world. Epilogue: Food For Thought.

Technology 75

Technology Enterprise Data Integration Management 75

AWS Big Data

JANUARY 12, 2024

Before data records land on Amazon S3, we implement an ingestion layer to bring all data streams reliably and securely to the data lake. Kinesis Data Streams is deployed as an ingestion layer for accelerated intake of structured and semi-structured data streams.

Data Lake 90

Data Lake Cost-Benefit Visualization Structured Data 90

CIO Business Intelligence

APRIL 4, 2023

In order to move AI forward, we need to first build and fortify the foundational layer: data architecture. This architecture is important because, to reap the full benefits of AI, it must be built to scale across an enterprise versus individual AI applications. Constructing the right data architecture cannot be bypassed.

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

Ontotext

JULY 26, 2019

Such an approach, no matter what name we use for it, is all about improving the way enterprises operate in an interconnected world. Examples of such continuous improvement are technological giants like Google and Amazon who use semantic technology principles to build better data architectures for better user experiences.

Technology 40

Technology Data Integration Enterprise Structured Data 40

AWS Big Data

MARCH 25, 2024

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed enterprise document database service that supports native JSON workloads. Data streaming enables you to ingest data from a variety of databases across various systems.

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

Ontotext

JANUARY 10, 2024

The reason is that the inherent complexity of big enterprises is such that this is the simplest model that enables them to “connect the dots” across the different operational IT systems and turn the diversity of their business into a competitive advantage. This requires new tools and new systems, which results in diverse and siloed data.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Cloudera

SEPTEMBER 12, 2022

First, organizations have a tough time getting their arms around their data. More data is generated in ever wider varieties and in ever more locations. Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making. Unified data fabric.

Unstructured Data 71

Unstructured Data Data Architecture Data Lake Snapshot 71

AWS Big Data

OCTOBER 25, 2023

Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media. By some estimates, unstructured data can make up to 80–90% of all new enterprise data and is growing many times faster than structured data.

Unstructured Data 115

Unstructured Data Metadata Management Analytics 115

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

erwin

OCTOBER 24, 2019

Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. This isn’t an easy task.

Metadata 104

Metadata Management Data-driven Data Architecture 104

Ontotext

MAY 30, 2019

A Headful of Linked Data. The deconstructed Johnny’s data problems are three: 1. Which are not so different from the concerns of any other enterprise having to deal with data management. 6 Linked Data, Structured Data on the Web. Linked Data or Semantic Technology? Retrieval and 3.

Cost-Benefit 87

Cost-Benefit Technology Big Data Metadata 87

CDW Research Hub

OCTOBER 12, 2021

Business leaders need to quickly access data—and to trust the accuracy of that data—to make better decisions. As organizations grow and evolve, many find a need for more sophisticated analytics across an ever-increasing amount of digital and consumer data. Unreliable Data as a Service (DaaS) implementations.

Data Warehouse 52

Data Warehouse Big Data Data Architecture Cost-Benefit 52

Ontotext

MAY 30, 2019

A Headful of Linked Data. The deconstructed Johnny’s data problems are three: 1. Which are not so different from the concerns of any other enterprise having to deal with data management. 6 Linked Data, Structured Data on the Web. Linked Data or Semantic Technology? Retrieval and 3.

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

Ontotext

APRIL 25, 2019

Deep and rich search results are paramount for thorough and accurate analysis across enterprise information systems. Data, Databases and Deeds: A SPARQL Query to the Rescue. The SPARQL query is a way to search, access and retrieve structured data by pulling together information from diverse data sources.

Cost-Benefit 75

Cost-Benefit Enterprise Structured Data Data Architecture 75

AWS Big Data

MARCH 26, 2024

Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels. The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

Ontotext

APRIL 25, 2019

quintillion bytes of data created each day, the bar for enterprise knowledge and information systems, and especially for their search functions and capabilities, is raised high. The SPARQL query is a way to search, access and retrieve structured data by pulling together information from diverse data sources.

Cost-Benefit 40

Cost-Benefit Enterprise Structured Data Data Architecture 40

IBM Big Data Hub

AUGUST 15, 2023

A hybrid multicloud environment offers this, giving you choice and flexibility across your enterprise. Building and training foundation models Creating foundations models starts with clean data. This includes building a process to integrate, cleanse, and catalog the full lifecycle of your AI data.

IT 85

IT Data Governance Modeling Cost-Benefit 85

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 121

Metadata Cost-Benefit Enterprise Interactive 121