Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Up your liquidity risk management game Historically, technological limitations made it difficult for financial institutions to accurately forecast and manage liquidity risk.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

David Menninger's Analyst Perspectives

JANUARY 15, 2021

Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data.

IT 306

IT Data Architecture Big Data Data Processing 306

Cloudera

JULY 11, 2022

What used to be bespoke and complex enterprise data integration has evolved into a modern data architecture that orchestrates all the disparate data sources intelligently and securely, even in a self-service manner: a data fabric. Cloudera data fabric and analyst acclaim. Move beyond a fabric. Next steps.

Data Architecture 107

Data Architecture Data-driven Data Warehouse Cost-Benefit 107

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

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. Let’s explore some of the most important findings that the survey uncovered.

Data Architecture 94

Data Architecture Strategy Data Lake Data-driven 94

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. Third-generation – more or less like the previous generation but with streaming data, cloud, machine learning and other (fill-in-the-blank) fancy tools. See the pattern?

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

CIO Business Intelligence

NOVEMBER 26, 2024

Data is the lifeblood of the modern insurance business. It is the central ingredient needed to drive underwriting processes, determine accurate pricing, manage claims, and drive customer engagement. The fact is, even the world’s most powerful large language models (LLMs) are only as good as the data foundations on which they are built.

Insurance 131

Insurance Data-driven Data Architecture Technology 131

CIO Business Intelligence

MARCH 25, 2025

What CIOs can do: Avoid and reduce data debt by incorporating data governance and analytics responsibilities in agile data teams , implementing data observability , and developing data quality metrics. Security debt can accumulate when these risks are not adequately addressed.

Risk 123

Risk Cost-Benefit Data-driven Digital Transformation 123

Data Virtualization

SEPTEMBER 21, 2023

Reading Time: 2 minutes In the ever-evolving landscape of data management, one concept has been garnering the attention of companies and challenging traditional centralized data architectures. This concept is known as “data mesh,” and it has the potential to revolutionize the way organizations handle.

Management 105

Management Data Architecture Data Integration Data-driven 105

AWS Big Data

SEPTEMBER 11, 2024

Their large inventory requires extensive supply chain management to source parts, make products, and distribute them globally. This post describes how HPE Aruba automated their Supply Chain management pipeline, and re-architected and deployed their data solution by adopting a modern data architecture on AWS.

Data Architecture 109

Data Architecture Optimization Data Warehouse Metadata 109

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

NOVEMBER 28, 2023

To avoid the inevitable, CIOs must get serious about data management. Data, of course, has been all the rage the past decade, having been declared the “new oil” of the digital economy. Still, to truly create lasting value with data, organizations must develop data management mastery.

Management 131

Management Data Architecture Data Lake Data Strategy 131

Cloudera

AUGUST 1, 2024

The survey, ‘ The State of Enterprise AI and Modern Data Architecture ’ uncovered the challenges and barriers that exist with AI adoption, current enterprise AI deployment plans, and the state of data infrastructures and data management. EMEA and APAC regions.

Data Architecture 82

Data Architecture Enterprise Cost-Benefit Deep Learning 82

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

AWS Big Data

OCTOBER 17, 2024

Amazon OpenSearch Service is a managed service that makes it straightforward to deploy, operate, and scale OpenSearch domains in AWS. From configuring clusters to scaling for petabyte-scale analytics, we cover the most relevant use cases to help you build, manage, and optimize your OpenSearch environment.

Analytics 115

Analytics Optimization Data-driven Data Architecture 115

AWS Big Data

APRIL 12, 2024

Snowpipe Streaming, a newer feature released in March 2023, is suitable for rowset ingestion (streaming) use cases, such as loading a continuous stream of data from Amazon Kinesis Data Streams or Amazon Managed Streaming for Apache Kafka (Amazon MSK). Straightforward to use with no code – You don’t need to write applications.

Data Architecture 118

Data Architecture IoT Internet of Things Recreation/Entertainment 118

DataKitchen

SEPTEMBER 17, 2021

We see a DataOps process hub like the DataKitchen Platform playing a central supporting role in successfully implementing a data mesh. DataOps excels at the type of workflow automation that can coordinate interdependent domains, manage order-of-operations issues and handle inter-domain communication. Conclusion.

Testing 237

Testing Data Architecture Measurement Visualization 237

AWS Big Data

APRIL 29, 2024

In the realm of big data, securing data on cloud applications is crucial. This post explores the deployment of Apache Ranger for permission management within the Hadoop ecosystem on Amazon EKS. The following diagram illustrates the solution architecture.

Management 115

Management Big Data Data Warehouse Metadata 115

Ontotext

JULY 24, 2023

I did some research because I wanted to create a basic framework on the intersection between large language models (LLM) and data management. I urge early adopters to think of this as an extension of their existing efforts to get the data and associated processes within your organization defined, managed, and governed.

Modeling 98

Modeling Management Structured Data Data Architecture 98

CIO Business Intelligence

JUNE 9, 2023

Such is the case with a data management strategy. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. For many organizations, the real challenge is quantifying the ROI benefits of data management in terms of dollars and cents.

Strategy 116

Strategy Management Key Performance Indicator Cost-Benefit 116

AWS Big Data

JULY 16, 2024

The Zurich Cyber Fusion Center management team faced similar challenges, such as balancing licensing costs to ingest and long-term retention requirements for both business application log and security log data within the existing SIEM architecture.

Insurance 130

Insurance Management Cost-Benefit Optimization 130

AWS Big Data

NOVEMBER 22, 2024

This integration enables data teams to efficiently transform and manage data using Athena with dbt Cloud’s robust features, enhancing the overall data workflow experience. This enables you to extract insights from your data without the complexity of managing infrastructure.

Data Lake 99

Data Lake Data Warehouse Cost-Benefit Data Transformation 99

AWS Big Data

FEBRUARY 26, 2025

This recognition, we feel, reflects our ongoing commitment to innovation and excellence in data integration, demonstrating our continued progress in providing comprehensive data management solutions. Santosh also led AWS Data Integration as the General Manager. This graphic was published by Gartner, Inc.

Data Integration 96

Data Integration Data Lake Data Warehouse Unstructured Data 96

Cloudera

DECEMBER 17, 2024

Since 5G networks began rolling out commercially in 2019, telecom carriers have faced a wide range of new challenges: managing high-velocity workloads, reducing infrastructure costs, and adopting AI and automation. High-velocity workloads like network data are best managed on-premises, where operators have more control and can optimize costs.

Enterprise 62

Enterprise Data Architecture Data-driven Optimization 62

CIO Business Intelligence

NOVEMBER 26, 2024

AI is at the core of this vision, driving smart governance, efficient resource management, and enhanced quality of life for residents and visitors alike. With Gen AI interest growing, organizations are forced to examine their data architecture and maturity.

Technology 85

Technology Data Architecture Data-driven Consulting 85

CIO Business Intelligence

FEBRUARY 20, 2024

Where all data – structured, semi-structured, and unstructured – is sourced, unified, and exploited in automated processes, AI tools and by highly skilled, but over-stretched, employees. Legacy data management is holding back manufacturing transformation Until now, however, this vision has remained out of reach.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

CIO Business Intelligence

JULY 28, 2023

Enterprises are dealing with increasing amounts of data, and managing it has become imperative to optimize its value and keep it secure. Data lifecycle management is essential to ensure it is managed effectively from creation, storage, use, sharing, and archive to the end of life when it is deleted.

Risk 98

Risk Management Data mining Cost-Benefit 98

DataKitchen

DECEMBER 30, 2020

In June of 2020, CRN featured DataKitchen’s DataOps Platform for its ability to manage the data pipeline end-to-end combining concepts from Agile development, DevOps, and statistical process control: DataKitchen. DMI Awards 2020 Best Data Ops Solution Provider. Top Executive: Christopher Bergh, CEO. DataKitchen.

Testing 241

Testing Big Data Statistics Manufacturing 241

AWS Big Data

OCTOBER 25, 2023

Additionally, we show how to use AWS AI/ML services for analyzing unstructured data. Why it’s challenging to process and manage unstructured data Unstructured data makes up a large proportion of the data in the enterprise that can’t be stored in a traditional relational database management systems (RDBMS).

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

JANUARY 15, 2025

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. With the addition of these technologies alongside existing systems like terminal operating systems (TOS) and SAP, the number of data producers has grown substantially.

IoT 110

IoT Machine Learning Metadata Data-driven 110

DataKitchen

NOVEMBER 5, 2024

The Race For Data Quality In A Medallion Architecture The Medallion architecture pattern is gaining traction among data teams. It is a layered approach to managing and transforming data. It sounds great, but how do you prove the data is correct at each layer?

Data Quality 195

Data Quality Testing Metrics Reporting 195

DataKitchen

JUNE 1, 2022

They have a Low Change Appetite: Teams have complicated in place data architectures and tools. There is no single pane of glass: no ability to see across all tools, pipelines, data sets, and teams in one place. How do SpaceX and NASA manage risk? They fear change in what already running. Build a Mission Control.

Risk 100

Risk Management Testing Dashboards 100

AWS Big Data

DECEMBER 4, 2024

While traditional extract, transform, and load (ETL) processes have long been a staple of data integration due to its flexibility, for common use cases such as replication and ingestion, they often prove time-consuming, complex, and less adaptable to the fast-changing demands of modern data architectures. What is zero-ETL?

Data Integration 112

Data Integration Data Lake Statistics Data-driven 112

AWS Big Data

NOVEMBER 8, 2024

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it cost-effective to analyze your data using standard SQL and business intelligence tools. However, if you want to test the examples using sample data, download the sample data. Raza Hafeez is a Senior Product Manager at Amazon Redshift.

Data Lake 105

Data Lake Data Warehouse Optimization Testing 105