CIO Business Intelligence

OCTOBER 24, 2024

The challenge is that these architectures are convoluted, requiring diverse and multiple models, sophisticated retrieval-augmented generation stacks, advanced data architectures, and niche expertise,” they said. They predicted more mature firms will seek help from AI service providers and systems integrators.

ROI 127

ROI Data-driven Enterprise Experimentation 127

Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions.

Data Architecture 62

Data Architecture Predictive Modeling Data Governance Data-driven 62

TDAN

SEPTEMBER 18, 2024

In the digital age, businesses rely on high-quality, easily accessible data to guide all manner of decisions and encourage growth. However, as a business grows, the way the organization interacts with its data can change, making processes less efficient and impairing progress toward business goals.

Data Architecture 52

Data Architecture Interactive Internet of Things IT 52

CIO Business Intelligence

MARCH 25, 2025

Build up: Databases that have grown in size, complexity, and usage build up the need to rearchitect the model and architecture to support that growth over time. Engineering teams also risk drowning in tangled service interactions instead of delivering new features.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI.

Metadata 84

Metadata Data Lake Dashboards Interactive 84

CIO Business Intelligence

OCTOBER 4, 2022

It’s yet another key piece of evidence showing that there is a tangible return on a data architecture that is cloud-based and modernized – or, as this new research puts it, “coherent.”. Data architecture coherence. Putting data in the hands of the people that need it. The study results don’t surprise us.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

IBM Big Data Hub

AUGUST 4, 2023

Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program. Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

DataKitchen

NOVEMBER 5, 2024

This architecture is valuable for organizations dealing with large volumes of diverse data sources, where maintaining accuracy and accessibility at every stage is a priority. It sounds great, but how do you prove the data is correct at each layer? How do you ensure data quality in every layer ?

Data Quality 198

Data Quality Testing Metrics Reporting 198

AWS Big Data

APRIL 8, 2025

In modern data architectures, Apache Iceberg has emerged as a popular table format for data lakes, offering key features including ACID transactions and concurrent write support. We show two example scripts demonstrating a practical implementation of error handling for data conflicts in Iceberg streaming jobs.

Snapshot 137

Snapshot Management Metadata Big Data 137

CIO Business Intelligence

OCTOBER 25, 2022

Improve risk, governance, and compliance with a comprehensive view of data contained in processes and interactions so it can be secured and protected to meet these regimes. The use of a data platforms to drive new product offers and address customer needs is already beginning.

Insurance 119

Insurance Data Architecture Data-driven Interactive 119

AWS Big Data

NOVEMBER 26, 2024

This post was co-written with Dipankar Mazumdar, Staff Data Engineering Advocate with AWS Partner OneHouse. Data architecture has evolved significantly to handle growing data volumes and diverse workloads. In Amazon S3 and AWS Glue, we can see our Hudi dataset and table along with the metadata folder.hoodie.

Metadata 104

Metadata Data Lake Snapshot Data Warehouse 104

Cloudera

JANUARY 7, 2025

A leading meal kit provider migrated its data architecture to Cloudera on AWS, utilizing Cloudera’s Open Data Lakehouse capabilities. This transition streamlined data analytics workflows to accommodate significant growth in data volumes.

Cost-Benefit 82

Cost-Benefit Optimization Strategy Data-driven 82

Cloudera

NOVEMBER 7, 2023

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? Hive, Spark, Impala, YARN, BI tools with S3 connectors can interact with Ozone using the s3a protocol. Only expected to be used by cluster administrators.

Unstructured Data 105

Unstructured Data Data Architecture Optimization Interactive 105

Cloudera

JUNE 7, 2022

Companies can now capitalize on the value in all their data, by delivering a hybrid data platform for modern data architectures with data anywhere. Cloudera Data Platform (CDP) is designed to address the critical requirements for modern data architectures today and tomorrow.

IT 112

IT Data Architecture Unstructured Data Big Data 112

CIO Business Intelligence

SEPTEMBER 17, 2024

The core product will still be there, but the way we interact with them will change.” The company’s advantage lies in its strong customer base, enterprise-grade data, and differentiator as a cloud-native company, Naik Lopez noted. The key thing with any AI strategy is your underlying platform and data,” said Naik Lopez.

IT 122

IT Recreation/Entertainment Finance Reporting 122

AWS Big Data

NOVEMBER 27, 2024

An AWS Identity and Access Management (IAM) user with sufficient permissions to interact with the AWS Management Console and related AWS services. Populate source data in Aurora MySQL You’re now ready to populate source data in Amazon Aurora MYSQL. Deploy dbt models to Amazon Redshift. Prerequisites A dbt Cloud account.

Data Warehouse 108

Data Warehouse Analytics Testing Sales 108

CIO Business Intelligence

MARCH 6, 2024

Menninger sees generative AI unlocking the power of ERP and similar software applications by transforming the fundamental nature of how users interact with them. ERP applications and others require people to think like computers, to understand how they work, and to frame their interactions in the structured way that they operate,” he said. “A

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

CIO Business Intelligence

JUNE 23, 2022

Companies can now capitalize on the value in all their data, by delivering a hybrid data platform for modern data architectures with data anywhere. Cloudera Data Platform (CDP) is designed to address the critical requirements for modern data architectures today and tomorrow.

IT 97

IT Data Architecture Unstructured Data Big Data 97

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists.

Snapshot 110

Snapshot Metadata Cost-Benefit Data Architecture 110

AWS Big Data

MARCH 6, 2025

We also use RBAC in Amazon Redshift to demonstrate access restrictions on sales data based on the region column, making sure that regional sales managers only see data for their assigned regions, while global sales managers have full access. The credentials make sure that only authorized users can interact with the Redshift data.

Visualization 101

Visualization Sales Data Warehouse Management 101

CIO Business Intelligence

SEPTEMBER 19, 2024

The challenge is that these architectures are convoluted, requiring multiple models, advanced RAG [retrieval augmented generation] stacks, advanced data architectures, and specialized expertise.” “Agentic AI is all the rage as companies push gen AI beyond basic tasks into more complex actions,” Chaurasia and Maheshwari say.

IT 138

IT Cost-Benefit Consulting Modeling 138

AWS Big Data

SEPTEMBER 21, 2023

Satori accelerates implementing data security controls on datawarehouses like Amazon Redshift, is straightforward to integrate, and doesn’t require any changes to your Amazon Redshift data, schema, or how your users interact with data. Satori interacts with identity providers either via API or by using the SAML protocol.

Data Warehouse 112

Data Warehouse Interactive Data Architecture Data-driven 112

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Timo Elliott

NOVEMBER 22, 2022

“According to Jidoka, what the employee needs is not just a UI to interact with the digitized business process, but rather the way to customize the process quickly and easily. Of course, in the end, we want a consistent and integrated data architecture across the whole enterprise.

Digital Transformation 122

Digital Transformation Data Architecture Sales Interactive 122

DataKitchen

JUNE 12, 2023

They need to learn customers’ interactions with their brand and marketing touchpoints. Data tools will continue to evolve, and as-built systems will continue to run. That feeling that something is going to go wrong, you’ll have no idea how to find it, and fixing it will put off all the other tasks that need to get done.

Testing 130

Testing Dashboards Data Science Data Lake 130

AWS Big Data

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving.

Data Lake 120

Data Lake Metadata Snapshot Recreation/Entertainment 120

Octopai

APRIL 20, 2023

Data mesh is an approach to data architecture that is intentionally distributed, where data is owned and governed by domain-specific teams who treat the data as a product to be consumed by other domain-specific teams. What are the principles behind data mesh architecture?

Data-driven 97

Data-driven Data Architecture Sales Interactive 97

Cloudera

JANUARY 30, 2023

Citizen 360 : Having a complete picture of the citizen and their interactions with government agencies has wide-ranging positive outcomes from reducing fraud, waste, and abuse, to rooting out bias and providing more accurate and timely services.

IoT 83

IoT Data Architecture Data Lake Machine Learning 83

Cloudera

JULY 20, 2021

Invest in maturing and improving your enterprise business metrics and metadata repositories, a multitiered data architecture, continuously improving data quality, and managing data acquisitions. enhanced customer experiences by accelerating the use of data across the organization.

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

AWS Big Data

JANUARY 31, 2023

In this post, we are excited to summarize the features that the AWS Glue Data Catalog, AWS Glue crawler, and Lake Formation teams delivered in 2022. Whether you are a data platform builder, data engineer, data scientist, or any technology leader interested in data lake solutions, this post is for you.

Data Lake 98

Data Lake Data Governance Data Architecture Machine Learning 98

IBM Big Data Hub

DECEMBER 1, 2023

Role of generative AI in digital transformation and core modernization Whether used in routine IT infrastructure operations, customer-facing interactions, or back-office risk analysis, underwriting and claims processing, traditional AI and generative AI are key to core modernization and digital transformation initiatives.

Insurance 96

Insurance Digital Transformation Unstructured Data Risk 96

Cloudera

DECEMBER 7, 2020

These pillars are based upon personalized interactions, customer-centric merchandising, supply chain agility, and reimagining stores. As people are central to retail, we will start with insights founded on accelerating customer insight and relevance through personalized interactions. . Personalized Interactions Driven by Data.

Cost-Benefit 62

Cost-Benefit Interactive Unstructured Data Big Data 62

Cloudera

JUNE 13, 2024

Cloudera’s true hybrid approach ensures you can leverage any deployment, from virtual private cloud to on-premises data centers, to maximize the use of AI. Reliability – Can you trust that your data quality will yield useful AI results? Responsibility – Can you trust your AI models will give meaningful insight?

Big Data 103

Big Data Machine Learning Contextual Data Data Lake 103

IBM Big Data Hub

SEPTEMBER 6, 2023

Marketers also need to work closely with IT to align on the data architecture needed to securely build and deploy foundation models while following necessary protections for intellectual property and confidential data. Generative AI needs human marketing teams Once deployed, your generative AI data journey isn’t over.

Marketing 112

Marketing Strategy B2B Cost-Benefit 112

AWS Big Data

JULY 31, 2024

In the current industry landscape, data lakes have become a cornerstone of modern data architecture, serving as repositories for vast amounts of structured and unstructured data. It adds functionalities like ACID transactions and versioning to improve data reliability and manageability.

Data Lake 113

Data Lake Marketing Data Processing Management 113

CIO Business Intelligence

FEBRUARY 21, 2023

Kay points to the creation and use of a principal design system as an illustrative example, saying it is meant to ensure that the company’s customers have a consistent experience when interacting with the company regardless of where those customers are located.

Digital Transformation 145

Digital Transformation Marketing Technology Business Driver 145

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Data Processing 87

Data Processing IoT Data Warehouse Cost-Benefit 87