Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

Cloudera

DECEMBER 17, 2024

The introduction of these faster, more powerful networks has triggered an explosion of data, which needs to be processed in real time to meet customer demands. Traditional data architectures struggle to handle these workloads, and without a robust, scalable hybrid data platform, the risk of falling behind is real.

Enterprise 62

Enterprise Data Architecture Data-driven Optimization 62

CIO Business Intelligence

APRIL 8, 2025

We also examine how centralized, hybrid and decentralized data architectures support scalable, trustworthy ecosystems. As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprises core has never been more significant.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

AWS Big Data

NOVEMBER 22, 2024

This enables you to extract insights from your data without the complexity of managing infrastructure. dbt has emerged as a leading framework, allowing data teams to transform and manage data pipelines effectively. With dbt, teams can define data quality checks and access controls as part of their transformation workflow.

Data Lake 83

Data Lake Data Warehouse Cost-Benefit Data Transformation 83

Cloudera

JANUARY 7, 2025

Adopting hybrid and multi-cloud models provides enterprises with flexibility, cost optimization, and a way to avoid vendor lock-in. A prominent public health organization integrated data from multiple regional health entities within a hybrid multi-cloud environment (AWS, Azure, and on-premise). Why Hybrid and Multi-Cloud?

Cost-Benefit 82

Cost-Benefit Optimization Strategy Data-driven 82

CDW Research Hub

JULY 18, 2022

Optimizing Snowflake functionality. Overall data architecture and strategy. Whether you are building out a proof of concept, an enterprise data warehouse or security data lake, or are focused on data science, collaboration, and data applications, we can help. Your consumption and query performance.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

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.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

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 will also cover the pattern with automatic compaction through AWS Glue Data Catalog table optimization.

Snapshot 117

Snapshot Management Metadata Big Data 117

Cloudera

JULY 29, 2022

Telecom operators can gain a competitive advantage by leveraging the massive volume of data generated on their networks. They can outperform competitors by applying machine learning and artificial intelligence to understand and optimize the customer experience while aiding service assurance.

Data Architecture 89

Data Architecture Data Strategy Risk Management Strategy 89

AWS Big Data

NOVEMBER 8, 2024

However, it also offers additional optimizations that you can use to further improve this performance and achieve even faster query response times from your data warehouse. One such optimization for reducing query runtime is to precompute query results in the form of a materialized view.

Data Lake 96

Data Lake Data Warehouse Optimization Testing 96

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

During the COVID-19 pandemic, telcos made unprecedented use of data and data-driven automation to optimize their network operations, improve customer support, and identify opportunities to expand into new markets. Most telcos rely on legacy applications that create data silos and limit interoperability.

Data Architecture 62

Data Architecture Predictive Modeling Data Governance Data-driven 62

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 B2B 78

IBM Big Data Hub

JANUARY 5, 2023

Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few. But there’s another factor of data quality that doesn’t get the recognition it deserves: your data architecture. How the right data architecture improves data quality.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

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 195

Data Quality Testing Metrics Reporting 195

CIO Business Intelligence

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. She has been heavily involved in the Data Sharing Project, focusing on the implementation of Amazon DataZone into EUROGATEs IT environment.

IoT 100

IoT Machine Learning Metadata Data-driven 100

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. That represents a 24-point bump over those organizations where real time data wasn’t a priority.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

AWS Big Data

OCTOBER 30, 2024

This is part two of a three-part series where we show how to build a data lake on AWS using a modern data architecture. This post shows how to load data from a legacy database (SQL Server) into a transactional data lake ( Apache Iceberg ) using AWS Glue.

Data Lake 100

Data Lake Data Processing Optimization Machine Learning 100

IBM Big Data Hub

AUGUST 4, 2023

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. MLOps creates a process where it’s easier to cull insights from business data.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

erwin

JULY 9, 2020

For more info about how enterprise architecture differs from solutions, technical and data architecture, see: The Difference Between Enterprise Architecture and Solutions Architecture. The Difference Between Enterprise Architecture and Technical Architecture.

Enterprise 145

Enterprise Data Architecture Data-driven Digital Transformation 145

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? Apache Ozone is compatible with Amazon S3 and Hadoop FileSystem protocols and provides bucket layouts that are optimized for both Object Store and File system semantics.

Unstructured Data 105

Unstructured Data Data Architecture Optimization Interactive 105

erwin

JANUARY 9, 2020

Then there’s unstructured data with no contextual framework to govern data flows across the enterprise not to mention time-consuming manual data preparation and limited views of data lineage. Building a more agile and governable data architecture: Create and implement common data design standards from the start.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

AWS Big Data

JANUARY 24, 2023

In his spare time, he loves reading and finds areas for home automation Raza Hafeez is a Senior Data Architect within the Shared Delivery Practice of AWS Professional Services. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Architecture 72

Data Architecture Metadata Data Lake Snapshot 72

AWS Big Data

NOVEMBER 7, 2024

The BladeBridge conversion process is optimized to work with each database object (for example, tables, views, and materialized views) and code object (for example, stored procedures and functions) stored in its own separate SQL file. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Warehouse 96

Data Warehouse Reporting Big Data Data Lake 96

CIO Business Intelligence

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

CIO Business Intelligence

MARCH 18, 2024

RAG optimizes LLMs by giving them the ability to reference authoritative knowledge bases outside their training data. “There are tons of documents that are not residing in an SAP system,” Herzig said. Artificial Intelligence, Data Architecture, Data Science, Digital Transformation, Generative AI, IT Leadership, Nvidia, SAP

Digital Transformation 118

Digital Transformation Optimization Data Science Modeling 118

CIO Business Intelligence

MARCH 19, 2025

Integrating ESG into data decision-making CDOs should embed sustainability into data architecture, ensuring that systems are designed to optimize energy efficiency, minimize unnecessary data replication and promote ethical data use.

IT 59

IT Data Governance Data-driven Metrics 59

AWS Big Data

OCTOBER 1, 2024

The external data catalog can be AWS Glue Data Catalog, the data catalog that comes with Amazon Athena, or your own Apache Hive metastore. To get the best performance on data lake queries with Redshift, you can use AWS Glue Data Catalog’s column statistics feature to collect statistics on Data Lake tables.

Data Lake 105

Data Lake Statistics Broadcasting Optimization 105

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

CIO Business Intelligence

SEPTEMBER 17, 2024

Integrated into this platform are four new AI agents: Recruiter, Expenses, Succession, and Optimize. Optimize Agent helps identify bottlenecks, inefficiencies, and deviations from a company’s best practices. Agents that aren’t optimized can become obsolete, or workers simply won’t use them.

IT 122

IT Recreation/Entertainment Finance Reporting 122

CIO Business Intelligence

NOVEMBER 25, 2022

As part of that transformation, Agusti has plans to integrate a data lake into the company’s data architecture and expects two AI proofs of concept (POCs) to be ready to move into production within the quarter. Like many CIOs, Carhartt’s top digital leader is aware that data is the key to making advanced technologies work.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

CIO Business Intelligence

JUNE 24, 2022

Forrester believes that enterprise architecture teams across APAC can drive more value and increase their chances of success by linking business capability modelling (BCM) with customer journey mapping and by using value stream management (VSM) to drive effective change. Digital Transformation

Modeling 105

Modeling Digital Transformation Data Architecture Data-driven 105

AWS Big Data

AUGUST 1, 2024

Success criteria alignment by all stakeholders (producers, consumers, operators, auditors) is key for successful transition to a new Amazon Redshift modern data architecture. The success criteria are the key performance indicators (KPIs) for each component of the data workflow.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

CIO Business Intelligence

NOVEMBER 22, 2022

To compete in the future, retailers will have to create architectures that rethink the entire flow of data through their systems. It’s about making the data architecture data centric. It’s not just improving interfaces.

Digital Transformation 145

Digital Transformation Sales Machine Learning Optimization 145

DataKitchen

NOVEMBER 4, 2021

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

CIO Business Intelligence

MAY 20, 2022

Modernizing a utility’s data architecture. These capabilities allow us to reduce business risk as we move off of our monolithic, on-premise environments and provide cloud resiliency and scale,” the CIO says, noting National Grid also has a major data center consolidation under way as it moves more data to the cloud.

IT 105

IT Internet of Things Digital Transformation Data Architecture 105