Cloudera

AUGUST 9, 2022

The truth is, the future of data architecture is all about hybrid. Hybrid data capabilities enable organizations to collect and store information on premises, in public or private clouds, and at the edge — without sacrificing the important analytics needed to turn that information into insight. Do we need more than one?

Data Architecture 88

Data Architecture Data Strategy Strategy Data-driven 88

CIO Business Intelligence

AUGUST 17, 2022

Fortunately, technology has evolved to the point where it can support the need for speed – now companies of all sizes have the ability to build data architectures that can leverage data for powerful, in-the-moment user experiences. These particular challenges, however, don’t rank as highly for data leaders.

Data Architecture 99

Data Architecture Strategy Data-driven Data Strategy 99

AWS Big Data

SEPTEMBER 7, 2023

This blog post presents an architecture solution that allows customers to extract key insights from Amazon S3 access logs at scale. We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights.

Metadata 98

Metadata Dashboards Metrics Visualization 98

Corinium

MARCH 8, 2021

Organizations aiming to become data-driven need to overcome several challenges, like that of dealing with distributed data or hybrid operating environments. What are the key trends in companies striving to become data-driven. Get the report today!

Data-driven 195

Data-driven Enterprise Data Architecture Data Governance 195

Sisense

AUGUST 28, 2020

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is.

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

Alation

MARCH 31, 2023

Actually, with Solomon-like wisdom, Zaidi and Thanaraj suggest a scenario where data fabric and data mesh work together — a Reese’s Peanut Butter Cup of data architecture, representing a “meshy fabric” scenario I presented last year.

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

Cloudera

DECEMBER 7, 2020

As the pandemic’s stress test of e-commerce, in-store insights, supply chain visibility, and fulfillment capabilities have revealed shortcomings, and long-lasting consumer experiences— it has also allowed many companies to pivot to very successful strategies built on enterprise data and the digitization efforts that accompany it.

Cost-Benefit 61

Cost-Benefit Interactive Unstructured Data Big Data 61

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. The communication between business units and data professionals is usually incomplete and inconsistent. Introduction to Data Mesh. Source: Thoughtworks.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 91

Strategy Data Architecture Cost-Benefit Reporting 91

AWS Big Data

APRIL 17, 2024

The AaaS model accelerates data-driven decision-making through advanced analytics, enabling organizations to swiftly adapt to changing market trends and make informed strategic choices. In this post, we explore how AaaS providers scale their processes with Amazon Redshift to deliver insights to their customers.

Data Warehouse 91

Data Warehouse Analytics Cost-Benefit Modeling 91

Cloudera

JANUARY 29, 2021

within the Manufacturing value chain reward disparate data sources and data management platforms that tailor to unique siloed solutions. These niche solutions limit enterprise value considering only a fraction of the insight cross-enterprise data can offer, while dividing the business and limiting collaboration opportunities.

Internet of Things 53

Internet of Things Manufacturing ROI Machine Learning 53

DataKitchen

NOVEMBER 29, 2021

Data Gets Meshier. 2022 will bring further momentum behind modular enterprise architectures like data mesh. The data mesh addresses the problems characteristic of large, complex, monolithic data architectures by dividing the system into discrete domains managed by smaller, cross-functional teams.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

TDAN

DECEMBER 19, 2023

Dark data remains one of the greatest untapped resources in business. This is due to the vast amounts of usable data that exists within an organization, but is not utilized or analyzed to serve a specific purpose. Since dark data represents missed opportunities for […]

Data Architecture 52

Data Architecture Data Governance Business Intelligence Management 52

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. Telco organizations are planning to move towards hybrid multi-cloud to manage data better and support their workforces in the near future. 2- AI capability drives data monetization.

Optimization 78

Optimization Data Architecture Data Governance Digital Transformation 78

AWS Big Data

FEBRUARY 9, 2023

Customers across industries seek meaningful insights from the data captured in their Customer Relationship Management (CRM) systems. To achieve this, they combine their CRM data with a wealth of information already available in their data warehouse, enterprise systems, or other software as a service (SaaS) applications.

Data Warehouse 74

Data Warehouse Data-driven Snapshot Testing 74

IBM Big Data Hub

OCTOBER 31, 2019

This isn’t surprising given the influx of multiple types of data from disparate sources and the popularity of open source methods to capture and turn it into insight.

Data Architecture 41

Data Architecture Enterprise Reporting Management 41

CIO Business Intelligence

OCTOBER 25, 2022

Not only are traditional financial services companies using data and technology to change the game, a plethora of “FinTech” startups are using digital products to dislodge traditional players. He shares his insight, expertise, and experiences in helping financial services firm become data-driven. This podcast features Peter Ku.

Insurance 102

Insurance Data Architecture Data-driven Interactive 102

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

Cloudera

MARCH 28, 2024

But, even with the backdrop of an AI-dominated future, many organizations still find themselves struggling with everything from managing data volumes and complexity to security concerns to rapidly proliferating data silos and governance challenges.

Data Architecture 89

Data Architecture Strategy Data Lake Data-driven 89

CIO Business Intelligence

JUNE 19, 2023

The distributed architecture now outperforms the original core host platform, notably with lower latency. Enhancing data-driven decisions: turning information into insight Financial institutions are repositories of vast amounts of data, increasing by over 30% every year. Huawei’s new Data Intelligence Solution 3.0

Finance 96

Finance Unstructured Data Data Processing Data Architecture 96

Cloudera

JUNE 7, 2022

We are a Gartner Peer Insights Customer Choice for Cloud DBMS products. Also, Cloudera DataFlow is rated highly in the GigaOm Radar for Streaming Data Platforms. Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. Where data flows, ideas follow.

IT 108

IT Data Architecture Unstructured Data Big Data 108

CIO Business Intelligence

JUNE 15, 2023

The distributed architecture now outperforms the original core host platform, notably with lower latency. Enhancing data-driven decisions: turning information into insight Financial institutions are repositories of vast amounts of data, increasing by over 30% every year. Huawei’s new Data Intelligence Solution 3.0

Unstructured Data 85

Unstructured Data Finance Data Processing Data Architecture 85

CIO Business Intelligence

MARCH 18, 2024

Meanwhile, SAP is leveraging NVIDIA’s accelerated computing platforms and NVIDIA AI Enterprise data science software, including Nvidia Rapids, Rapids cuDF, and cuML, to make it easier for data scientists to access data and enhance ML workload performance in Datasphere. “We

Digital Transformation 96

Digital Transformation Optimization Modeling Enterprise 96

BI-Survey

JANUARY 15, 2023

Data architecture is a topic that is as relevant today as ever. It is widely regarded as a matter for data engineers, not business domain experts. Statements from countless interviews with our customers reveal that the data warehouse is seen as a “black box” by many and understood by few business users. But is it really?

Data Warehouse 52

Data Warehouse IT Data Architecture Measurement 52

CIO Business Intelligence

JUNE 28, 2023

The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. “We This allowed us to derive insights more easily.” Finally, our goal is to diminish consumer risk evaluation periods by 80% without compromising the safety of our products.”

Digital Transformation 87

Digital Transformation Cost-Benefit Informatics Data mining 87

Sisense

JULY 6, 2020

The volume and types of data are growing by the day, making data processing and generation of data insights more and more complicated. According to Experian’s 2019 Global Data Benchmark Report , companies believe that 29% of their customer and prospect data is inaccurate in some way.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

Cloudera

APRIL 19, 2023

With the vast amount of data collected from customers, transactions, and market movements, among other sources, this abundance offers tremendous potential for financial institutions to extract valuable insights that can inform business decisions, improve customer service, and create new revenue streams.

Data-driven 70

Data-driven Data Architecture Measurement Risk 70

DataKitchen

JULY 3, 2023

Teams Did Not Build Current Architecture For Rapid And Low-Risk Changes Those Systems Teams have complicated in-place data architectures and tools and fear changes to what is already running. Constant Data And Tool Errors In Production Teams cannot see across all tools, pipelines, jobs, processes, datasets, and people. .’

Testing 130

Testing Risk Data-driven Statistics 130

erwin

OCTOBER 16, 2020

Without automation and the development of a governed data pipeline, you’ll never have enough data scientists in the front office to put the data to work. The benefits of fast time to insights is clear, regardless of the industry you’re in. Where is the data? Subscribe to the erwin Expert Blog.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

CIO Business Intelligence

JUNE 16, 2022

Data interoperability across various elements of a data ecosystem determines the effectiveness of delivering business value with data. These disparate systems often create a level of complexity that directly impacts the speed business can deliver insights. It also impacts data security, governance, and change management.

IT 124

IT Experimentation IoT Data-driven 124

CIO Business Intelligence

JUNE 23, 2022

We are a Gartner Peer Insights Customer Choice for Cloud DBMS products. Also, Cloudera DataFlow is rated highly in the GigaOm Radar for Streaming Data Platforms. Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. Where data flows, ideas follow.

IT 80

IT Data Architecture Unstructured Data Big Data 80

IBM Big Data Hub

DECEMBER 16, 2022

Building the foundation: data architecture. Collecting, organizing, managing, and storing data is a complex challenge. A fit-for-purpose data architecture underpins effective data-driven organizations. Read more: Why IBM recommends a data fabric architecture as a solution.

Enterprise 52

Enterprise Data Architecture ROI Data-driven 52

Srividya Sridharan

APRIL 10, 2020

The time of year has finally arrived when the sun lingers on the horizon longer and longer, life creeps back into the trees, and weather forecasts look much more favorable. But this normally welcome period of seasonal change coincides with unprecedented change in how we are forced to conduct business. In the midst of the […].

Forecasting 81

Forecasting Analytics Customer Analytics Data Architecture 81

Cloudera

JANUARY 5, 2023

And with the anticipated deployment of 5G networks across the region, this volume of data will increase significantly. In APAC, we have observed that organizations are doing (or aiming to do) more with their data, and reduce the time to value. They also address the concerns of IT teams in allowing access to organizational data. .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

CIO Business Intelligence

APRIL 12, 2023

He had been trying to gather new data insights but was frustrated at how long it was taking. Most current data architectures were designed for batch processing with analytics and machine learning models running on data warehouses and data lakes. Sound familiar?) It isn’t easy.

Machine Learning 135

Machine Learning Cost-Benefit Data-driven Strategy 135

DataKitchen

JANUARY 3, 2022

Their business unit colleagues ask an endless stream of urgent questions that require analytic insights. Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. Business analysts often find themselves in a no-win situation with constraints imposed from all sides.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245