Data Virtualization

DECEMBER 2, 2021

Practically overnight, organizations have been forced to adapt by modernizing their data architecture to support new types of analysis and new ways to connect to data. The post Modernize Your Data Architecture with Data Virtualization appeared first on Data Virtualization blog.

Data Architecture 52

Data Architecture Data Governance Technology Management 52

Data Virtualization

DECEMBER 2, 2021

Practically overnight, organizations have been forced to adapt by modernizing their data architectures to support new types of analysis and new ways to connect to data. The post Modernize Your Data Architecture with Data Virtualization appeared first on Data Virtualization blog.

Data Architecture 52

Data Architecture Data Governance Technology Management 52

Cloudera

MAY 10, 2024

Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

Data Architecture 103

Data Architecture Data Governance Big Data Marketing 103

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

Analytics 96

Analytics IoT Cost-Benefit Big Data 96

Data Virtualization

AUGUST 26, 2020

Recently, we have seen the rise of new technologies like big data, the Internet of things (IoT), and data lakes. But we have not seen many developments in the way that data gets delivered. Modernizing the data infrastructure is the.

Data Architecture 59

Data Architecture Internet of Things Data Lake IoT 59

AWS Big Data

APRIL 19, 2023

Independent data products often only have value if you can connect them, join them, and correlate them to create a higher order data product that creates additional insights. A modern data architecture is critical in order to become a data-driven organization.

Technology 82

Technology Data-driven Machine Learning Sales 82

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. With multiple speaking tracks focusing on technology, networks, and data & AI, industry leaders repeatedly highlighted the hybrid nature of their infrastructure. .

Optimization 78

Optimization Data Architecture Data Governance Digital Transformation 78

Cloudera

JUNE 6, 2024

Recently, Cloudera, alongside OCBC, were named winners in the“ Best Big Data and Analytics Infrastructure Implementation ” category at The Asian Banker’s Financial Technology Innovation Awards 2024. Lastly, data security is paramount, especially in the finance industry.

Contextual Data 83

Contextual Data Data Lake Data-driven Risk 83

Data Virtualization

JUNE 9, 2022

Reading Time: 4 minutes Join our discussion on All Things Data with Fred Baradari, Federal Partner and Channel Sales Director at Denodo, with a focus on how Data Governance and Security are the real champions in bringing IT transformation. Listen to “The Role of.

Data Governance 52

Data Governance IT Sales Data Integration 52

Cloudera

DECEMBER 1, 2023

Recent Government Initiatives on Public Sector AI Solutions In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively.

Data Governance 109

Data Governance Data-driven Strategy Data Architecture 109

AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 82

Data Lake Data Governance Data Architecture Data Warehouse 82

AWS Big Data

JUNE 10, 2024

In this post, we delve into the key aspects of using Amazon EMR for modern data management, covering topics such as data governance, data mesh deployment, and streamlined data discovery. Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated.

Data Lake 82

Data Lake Metadata Data Warehouse Data Processing 82

CIO Business Intelligence

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. Who has access to the data?

Manufacturing 80

Manufacturing Data Architecture Strategy Data Strategy 80

Cloudera

NOVEMBER 1, 2022

A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: The federal government spends nearly 75% of its annual information technology funding on operating and maintaining existing legacy information technology systems.

Cost-Benefit 89

Cost-Benefit Data Architecture Risk IoT 89

IBM Big Data Hub

JUNE 30, 2022

There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The diversity of data types, data processing, integration and consumption patterns used by organizations has grown exponentially.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

CIO Business Intelligence

MAY 2, 2022

Can you deliver meaningful results on a data project within one or two quarters? That’s a requirement for nearly any initiative undertaken by Petco Chief Data and Analytics Officer Rakesh Srinivasan, who invests the talent and resources to achieve results quickly.

Advertising 79

Advertising Data Governance Insurance Strategy 79

erwin

OCTOBER 16, 2020

And this time sensitivity is a massive issue, as taking a proactive and data-driven approach can literally mean life or death to your business or to your customers. And that’s where data analytics can play a huge role. 1 of erwin Insights 2020, our virtual conference on enterprise modeling and data governance/intelligence.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

CIO Business Intelligence

AUGUST 9, 2023

What does this have to do with technology? Traditional storage systems struggle to keep up with the massive influx of data, leading to bottlenecks in training and inference processes. In addition, managing the data created by generative AI models is becoming a crucial aspect of the AI lifecycle. Learn more here.

Unstructured Data 84

Unstructured Data Modeling Data Architecture Enterprise 84

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Forbes Technology Council.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

Cloudera

SEPTEMBER 15, 2022

July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. A key area of focus for the symposium this year was the design and deployment of modern data platforms. What is a data fabric?

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

Cloudera

SEPTEMBER 19, 2023

Adding another position may not be terribly appealing, but there is one C-suite role every company should consider—chief data and analytics officer (CDO or CDAO). CDO inspires the data team To succeed, leaders need to inspire their teams to be passionate, productive, and willing to work with other stakeholders toward common goals.

IT 78

IT Data Strategy ROI Data-driven 78

Cloudera

MAY 28, 2024

It’s not enough for businesses to implement and maintain a data architecture. The unpredictability of market shifts and the evolving use of new technologies means businesses need more data they can trust than ever to stay agile and make the right decisions.

Data Architecture 88

Data Architecture Data Lake Data Warehouse Cost-Benefit 88

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. IBM has been the pioneer in paving the way for data management technologies and advancements for decades, from the first commercial database to quantum computing systems.

Data Lake 86

Data Lake Data Warehouse Publishing Structured Data 86

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Cloudera

DECEMBER 1, 2022

Full-stack observability is a critical requirement for effective modern data platforms to deliver the agile, flexible, and cost-effective environment organizations are looking for. Data observability provides insight into the condition and evolution of the data resources from source through the delivery of the data products.

Metrics 84

Metrics Data Quality Data Lake Statistics 84

CIO Business Intelligence

APRIL 29, 2022

The strategy should put formalized processes in place to quantify the value of different types of information, leveraging the skills of a chief data officer (CDO), who should form and chair a data governance committee. The challenge is formalizing that in terms of people, process, and technology.

Digital Transformation 111

Digital Transformation Strategy Data-driven Data Strategy 111

Ontotext

NOVEMBER 16, 2023

Data mesh solves this by promoting data autonomy, allowing users to make decisions about domains without a centralized gatekeeper. It also improves development velocity with better data governance and access with improved data quality aligned with business needs.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

Cloudera

JUNE 29, 2023

Technology alone would not have prevented the banking crisis, but the fact remains that financial institutions still aren’t leveraging technology as creatively, intelligently, and cost-effectively as they should be. Apply emerging technology to intraday liquidity management. Enhance counterparty risk assessment.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

AWS Big Data

MAY 17, 2023

Credit: Phil Goldstein Jerry Wang, Peloton’s Director of Data Engineering (left), and Evy Kho, Peloton’s Manager of Subscription Analytics, discuss how the company has benefited from using Amazon Redshift. The new instance … was a great feature for us,” Wang says. “It

Data Warehouse 111

Data Warehouse Cost-Benefit Sales Data-driven 111

Alation

JULY 30, 2021

From a technical perspective, you want to quickly move only the right data to a cloud data warehouse and implement this migration in a cost-efficient manner. This goes back to knowing what you are doing and maintaining and evolving your catalog, architecture, and strategy.”. Clean it up before or as part of switching and moving.

Data Warehouse 52

Data Warehouse Data Governance Machine Learning Data-driven 52

AWS Big Data

MARCH 10, 2023

Tracking data changes and rollback Build your transactional data lake on AWS You can build your modern data architecture with a scalable data lake that integrates seamlessly with an Amazon Redshift powered cloud warehouse. Data can be organized into three different zones, as shown in the following figure.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

Alation

MARCH 1, 2023

Blockchain technology delivers a secure record of transaction, using cryptography to interlink records. We looked at how we wanted to use data, how we wanted to make sure it is self-service to people and that it scales, whilst making it understandable and discoverable. What are the goals of your data team?

Data Strategy 52

Data Strategy Strategy Metadata Interactive 52

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Data Architecture 84

Data Architecture Cost-Benefit Digital Transformation Business Driver 84

Cloudera

AUGUST 21, 2020

Data-in-motion is predominantly about streaming data so enterprises typically have two different ways or binary ways of looking at data. Data-in-motion on the other hand is data constantly coming into an enterprise or into the cloud that doesn’t have any finite end to it.

Enterprise 62

Enterprise Data Lake Strategy Metadata 62

AWS Big Data

JUNE 29, 2023

With Amazon Redshift, you can analyze your data to derive holistic insights about your business and your customers. In many organizations, one or multiple Amazon Redshift data warehouses run daily for data and analytics purposes. He enjoys working with AWS customers and partners on data and analytics requirements.

Data Warehouse 60

Data Warehouse Dashboards Testing Visualization 60

Cloudera

FEBRUARY 15, 2024

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes.

Insurance 88

Insurance Data Architecture Risk Management Risk 88