Cloudera

SEPTEMBER 12, 2022

And second, for the data that is used, 80% is semi- or unstructured. Combining and analyzing both structured and unstructured data is a whole new challenge to come to grips with, let alone doing so across different infrastructures. The post Chose Both: Data Fabric and Data Lakehouse appeared first on Cloudera Blog.

Unstructured Data 74

Unstructured Data Data Architecture Data Lake Snapshot 74

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. Fuel growth with speed and control.

IT 110

IT Data Architecture Unstructured Data Big Data 110

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

IBM Big Data Hub

DECEMBER 1, 2023

To achieve digital transformation with AI, insurance companies need to get a good understanding of structured and unstructured data, organize it, manage it in a secure manner (while complying with industry regulations) and enable instant access to the “right” data. Sign up for a free trial to put watsonx.ai

Insurance 99

Insurance Digital Transformation Unstructured Data Risk 99

Data Virtualization

MAY 26, 2021

Over the last decade, the explosion of structured and unstructured data as well as digital technologies in general, has enabled. The post Easing Data Woes and Creating Tangible Business Value Through Data Virtualization in the Financial Services Industry appeared first on Data Virtualization blog.

Unstructured Data 80

Unstructured Data Optimization Marketing Technology 80

CIO Business Intelligence

APRIL 25, 2022

Now generally available, the M&E data lakehouse comes with industry use-case specific features that the company calls accelerators, including real-time personalization, said Steve Sobel, the company’s global head of communications, in a blog post.

Recreation/Entertainment 102

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 102

IBM Big Data Hub

FEBRUARY 2, 2023

This approach has several benefits, such as streamlined migration of data from on-premises to the cloud, reduced query tuning requirements and continuity in SRE tooling, automations, and personnel. This enabled data-driven analytics at scale across the organization 4.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

Cloudera

NOVEMBER 17, 2022

With CDP, HBL will manage data at scale through a centralized data lake, serving Pakistan, Sri Lanka, Singapore and other international territories. The bank will be able to secure, manage, and analyse huge volumes of structured and unstructured data, with the analytic tool of their choice. .

Management 84

Management Data Lake Consulting Unstructured Data 84

BizAcuity

APRIL 14, 2022

There are a wide range of problems that are presented to organizations when working with big data. Challenges associated with Data Management and Optimizing Big Data. Unscalable data architecture. Scalable data architecture is not restricted to high storage space. Unstructured Data Management.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

CDW Research Hub

MARCH 12, 2021

For organizations trying to get a better handle on their data so they can see how it affects their business outcomes, the digital age has accelerated the need for modernizing the data centers. Converged technologies that improve the efficiency of your data center can also yield a major reduction of your operational costs.

Unstructured Data 52

Unstructured Data Internet of Things IoT Optimization 52

AWS Big Data

OCTOBER 3, 2023

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. Choose Next to create your stack.

Data Lake 104

Data Lake Metadata Snapshot Recreation/Entertainment 104

Cloudera

SEPTEMBER 15, 2022

Mark: While most discussions of modern data platforms focus on comparing the key components, it is important to understand how they all fit together. The high-level architecture shown below forms the backdrop for the exploration. Luke: Let’s talk about some of the fundamentals of modern data architecture.

Data Lake 81

Data Lake Data Architecture Data-driven Data Warehouse 81

IBM Big Data Hub

AUGUST 1, 2022

As a company, we have been entrusted with organizing data on a national scale, made revolutionary progress in data storing technology and have exponentially advanced trustworthy AI using aggregated structured and unstructured data from both internal and external sources. .

Unstructured Data 52

Unstructured Data Deep Learning Data Quality Data Architecture 52

Cloudera

DECEMBER 7, 2020

This blog is a first in a series that will examine the pillars and the successful customer case studies that have resulted. Leaders are moving to “segments of one,” defined as tracking and understanding individual behaviors across all touchpoints using the data to customize offers, products, or services to the individual customer.

Cost-Benefit 61

Cost-Benefit Interactive Unstructured Data Big Data 61

erwin

JANUARY 9, 2020

They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. CCPA vs. GDPR: Key Differences.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

Ontotext

JULY 9, 2020

What lies behind building a “nest” from irregularly shaped, ambiguous and dynamic “strings” of human knowledge, in other words of unstructured data? There is no easy answer to these questions but we still need to make sense of the data around us and figure out ways to manage and transfer knowledge with the finest granularity of detail.

Data Architecture 128

Data Architecture Unstructured Data Enterprise Technology 128

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Components of a Data Mesh. How CDF enables successful Data Mesh Architectures.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Alation

APRIL 19, 2022

Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. Only then can you extract insights across fragmented data architecture.

Cost-Benefit 52

Cost-Benefit Data Governance Manufacturing Data Architecture 52

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

AWS Big Data

JANUARY 8, 2024

Therefore, it is critical for organizations to embrace a low-latency, scalable, and reliable data streaming infrastructure to deliver real-time business applications and better customer experiences. Refer to Amazon Kinesis Data Streams integrations for additional details.

Analytics 115

Analytics IoT Data-driven Snapshot 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. To overcome these issues, Orca decided to build a data lake. By decoupling storage and compute, data lakes promote cost-effective storage and processing of big data.

Data Lake 89

Data Lake Analytics Snapshot Optimization 89

CIO Business Intelligence

SEPTEMBER 21, 2023

Enterprises still aren’t extracting enough value from unstructured data hidden away in documents, though, says Nick Kramer, VP for applied solutions at management consultancy SSA & Company. Data warehouses then evolved into data lakes, and then data fabrics and other enterprise-wide data architectures.

Enterprise 123

Enterprise Consulting Modeling Cost-Benefit 123