Cloudera

MAY 14, 2024

But getting there requires data, and a lot of it. More than that, though, harnessing the potential of these technologies requires quality data—without it, the output from an AI implementation can end up inefficient or wholly inaccurate. Something that Cloudera and Foundry research found 36% of IT leaders said ranked as a top challenge.

Data Architecture 99

Data Architecture Data Governance Unstructured Data Structured Data 99

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. Meet the data lakehouse.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

CIO Business Intelligence

OCTOBER 18, 2022

The old stadium, which opened in 1992, provided the business operations team with data, but that data came from disparate sources, many of which were not consistently updated. The new Globe Life Field not only boasts a retractable roof, but it produces data in categories that didn’t even exist in 1992.

Data Transformation 141

Data Transformation Consulting Data Lake Reporting 141

Ontotext

JULY 24, 2023

Examples of these types of applications are content summarization, programming tasks, data extraction, and conversational assistants (chatbots). Data Meaning is Critical It is important to note that LLMs are just ‘text prediction agents.’ It was emphasized many times that LLMs are only as good as the data sources.

Modeling 98

Modeling Management Structured Data Data Architecture 98

AWS Big Data

JANUARY 6, 2025

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. We demonstrated how the complexities of data integration are minimized so you can focus on deriving actionable insights from your data.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

IBM Big Data Hub

AUGUST 15, 2023

To overcome these challenges will require a shift in many of the processes and models that businesses use today: changes in IT architecture, data management and culture. A common phrase you’ll hear around AI is that artificial intelligence is only as good as the data foundation that shapes it.

IT 74

IT Data Governance Modeling Cost-Benefit 74

CIO Business Intelligence

APRIL 25, 2022

You can think that the general-purpose version of the Databricks Lakehouse as giving the organization 80% of what it needs to get to the productive use of its data to drive business insights and data science specific to the business. Features focus on media and entertainment firms.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

datapine

AUGUST 20, 2019

Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc. The gigantic evolution of structured, unstructured, and semi-structured data is referred to as Big data.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Legacy architecture The customer’s platform was the main source for one-time, batch, and content processing.

Data Warehouse 115

Data Warehouse Data Lake Cost-Benefit Structured Data 115

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 133

Unstructured Data Metadata Management Analytics 133

Cloudera

SEPTEMBER 12, 2022

It sounds straightforward: you just need data and the means to analyze it. 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 75

Unstructured Data Data Architecture Data Lake Snapshot 75

erwin

OCTOBER 24, 2019

However, most organizations don’t use all the data they’re flooded with to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or make other strategic decisions. They don’t know exactly what data they have or even where some of it is. Metadata Is the Heart of Data Intelligence.

Metadata 104

Metadata Management Data-driven Data Architecture 104

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. Introduction to the Data Mesh Architecture and its Required Capabilities.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Ontotext

MAY 30, 2019

Let’s imagine Johnny Mnemonic – Keanu Reeves’ character from the cyberpunk action thriller movie of the same name – who is carrying a data package inside his head. He has been tasked with smuggling data – not in the 90s as the movie had it, but these days. 6 Linked Data, Structured Data on the Web.

Cost-Benefit 87

Cost-Benefit Big Data Technology Metadata 87

AWS Big Data

DECEMBER 21, 2023

The data volume is in double-digit TBs with steady growth as business and data sources evolve. smava’s Data Platform team faced the challenge to deliver data to stakeholders with different SLAs, while maintaining the flexibility to scale up and down while staying cost-efficient. Only the cluster’s storage incurs charges.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

AWS Big Data

JANUARY 22, 2024

Acast found itself with diverse business units and a vast amount of data generated across the organization. The existing monolith and centralized architecture was struggling to meet the growing demands of data consumers. Data can be shared in files, batched or stream events, and more.

Data-driven 118

Data-driven Advertising Metadata Data Architecture 118

AWS Big Data

NOVEMBER 9, 2023

Building a data platform involves various approaches, each with its unique blend of complexities and solutions. In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform.

Data Warehouse 126

Data Warehouse Testing Data Quality Reporting 126

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

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. When we look ahead, that same architectural foundation we have spent decades perfecting and innovating is also bringing Db2 into future. No one knows your data like you do.

Data Lake 86

Data Lake Data Warehouse Publishing Structured Data 86

AWS Big Data

JANUARY 12, 2024

In this post, we walk through a high-level architecture and a specific use case that demonstrates how you can continue to scale your organization’s data platform without needing to spend large amounts of development time to address data privacy concerns. The data will be consumed by downstream analytical processes.

Data Lake 119

Data Lake Cost-Benefit Visualization Structured Data 119

Ontotext

APRIL 25, 2019

Data, Databases and Deeds: A SPARQL Query to the Rescue. 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. In a world of 2.5 What is a SPARQL query and Why Does It Matter to Us, the Knowledge Seekers?

Cost-Benefit 75

Cost-Benefit Enterprise Structured Data Data Architecture 75

Ontotext

MAY 30, 2019

Let’s imagine Johnny Mnemonic – Keanu Reeves’ character from the cyberpunk action thriller movie of the same name – who is carrying a data package inside his head. He has been tasked with smuggling data – not in the 90s as the movie had it, but these days. 6 Linked Data, Structured Data on the Web.

Cost-Benefit 75

Cost-Benefit Big Data Technology Metadata 75

Ontotext

JULY 26, 2019

Connectivity in the sense of connecting data from different sources and assigning these data additional machine-readable meaning. 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 75

Technology Enterprise Data Integration Structured Data 75

AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Lakehouse provides an open data architecture that reduces data silos and unifies data across Amazon Simple Storage Service (Amazon S3) data lakes, Redshift data warehouses, and third-party and federated data sources. With AWS Glue 5.0, AWS Glue 5.0 AWS Glue 5.0 Apache Iceberg 1.6.1,

Analytics 62

Analytics Data Lake Metadata Data Warehouse 62

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. Data sharing also provided the flexibility to independently scale the producer and consumer data warehouses.

Data Warehouse 111

Data Warehouse Analytics Data Lake Data Science 111

AWS Big Data

OCTOBER 1, 2024

Amazon Redshift enables you to efficiently query and retrieve structured and semi-structured data from open format files in Amazon S3 data lake without having to load the data into Amazon Redshift tables. Amazon Redshift extends SQL capabilities to your data lake, enabling you to run analytical queries.

Data Lake 116

Data Lake Statistics Broadcasting Optimization 116

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

AWS Big Data

MARCH 25, 2024

This data usually comes from third parties, and developers need to find a way to ingest this data and process the data changes as they happen. However, the value of such important data diminishes significantly over time. Streaming storage provides reliable storage for streaming data.

Data Lake 122

Data Lake Unstructured Data Management Snapshot 122

AWS Big Data

APRIL 19, 2023

Different departments within an organization can place data in a data lake or within their data warehouse depending on the type of data and usage patterns of that department. Nasdaq’s massive data growth meant they needed to evolve their data architecture to keep up.

Data Warehouse 59

Data Warehouse Data Lake Unstructured Data Optimization 59

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 103

Data Strategy Strategy Data Warehouse Prescriptive Analytics 103

Ontotext

JANUARY 10, 2024

This requires new tools and new systems, which results in diverse and siloed data. And each of these gains requires data integration across business lines and divisions. Any type of metadata or universal data model is likely to slow down development and increase costs, which will affect the time to market and profit.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

AWS Big Data

MARCH 28, 2023

A slowly changing dimension (SCD) is a data warehousing concept that contains relatively static data that can change slowly over a period of time. There are three major types of SCDs maintained in data warehousing: Type 1 (no history), Type 2 (full history), and Type 3 (limited history). Choose Create crawler.

Data Lake 103

Data Lake Testing Snapshot Big Data 103

IBM Big Data Hub

JANUARY 18, 2023

A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Value of the data projects are difficult to realize. It was Datawarehouse.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Ontotext

APRIL 25, 2019

The SPARQL query is a way to search, access and retrieve structured data by pulling together information from diverse data sources. One such way towards better search (and better informed actions) is the SPARQL query. What is a SPARQL query and Why Does It Matter to Us, the Knowledge Seekers? The Heavy-Lifting Before the Magic.

Cost-Benefit 40

Cost-Benefit Enterprise Structured Data Data Architecture 40

Ontotext

JULY 26, 2019

Connectivity in the sense of connecting data from different sources and assigning these data additional machine-readable meaning. 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

CIO Business Intelligence

APRIL 4, 2023

Operationalizing AI at scale mandates that your full suite of data–structured, unstructured and semi-structured get organized and architected in a way that makes it useable, readily accessible and secure. In order to move AI forward, we need to first build and fortify the foundational layer: data architecture.

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52