Smart Data Collective

FEBRUARY 23, 2021

Not Having a Data Architecture Plan. Data quality matters, but along with that, even its structure matters. When you’re dealing with big data, it’s essential that you manage it well. Without a data governance framework in place, you won’t be able to find and retrieve the required data with ease.

Big Data 142

Big Data Visualization Data Quality Data-driven 142

Cloudera

SEPTEMBER 29, 2022

Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. Data teams are confused as to whether they should get on the bandwagon of just one of these trends or pick a combination. First, we describe how data mesh and data fabric could be related.

Data Architecture 74

Data Architecture Data Warehouse Metadata Sales 74

AWS Big Data

JANUARY 15, 2025

Need for a data mesh architecture Because entities in the EUROGATE group generate vast amounts of data from various sourcesacross departments, locations, and technologiesthe traditional centralized data architecture struggles to keep up with the demands for real-time insights, agility, and scalability.

IoT 100

IoT Machine Learning Metadata Data-driven 100

AWS Big Data

JUNE 6, 2023

It provides insights and metrics related to the performance and effectiveness of data quality processes. In this post, we highlight the seamless integration of Amazon Athena and Amazon QuickSight , which enables the visualization of operational metrics for AWS Glue Data Quality rule evaluation in an efficient and effective manner.

Data Quality 78

Data Quality Metrics Visualization Dashboards 78

AWS Big Data

APRIL 20, 2023

In a modern data architecture, unified analytics enable you to access the data you need, whether it’s stored in a data lake or a data warehouse. Today, we are pleased to announce a new and enhanced visual job authoring capabilities for Amazon Redshift ETL and ELT workflows on the AWS Glue Studio visual editor.

Visualization 86

Visualization Data Warehouse Big Data Data Lake 86

CIO Business Intelligence

DECEMBER 11, 2024

Furthermore, generally speaking, data should not be split across multiple databases on different cloud providers to achieve cloud neutrality. Not my original quote, but a cardinal sin of cloud-native data architecture is copying data from one location to another.

Management 111

Management Data Governance Data Science Reporting 111

erwin

JANUARY 9, 2020

While it’s always been the best way to understand complex data sources and automate design standards and integrity rules, the role of data modeling continues to expand as the fulcrum of collaboration between data generators, stewards and consumers. So here’s why data modeling is so critical to data governance.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

erwin

JUNE 25, 2020

The Difference Between Technical Architecture and Enterprise Architecture. We previously have discussed the difference between data architecture and EA plus the difference between solutions architecture and EA. With erwin Evolve, users enjoy the following benefits: Creation and visualization of complex models.

Enterprise 144

Enterprise Data Architecture Data-driven Cost-Benefit 144

AWS Big Data

DECEMBER 4, 2024

Collaborate and build faster using familiar AWS tools for model development, generative AI, data processing, and SQL analytics with Amazon Q Developer , the most capable generative AI assistant for software development, helping you along the way.

Data Analytics 85

Data Analytics Analytics Data Lake Data Quality 85

CIO Business Intelligence

OCTOBER 18, 2022

Noel had already established a relationship with consulting firm Resultant through a smaller data visualization project.

Data Transformation 141

Data Transformation Consulting Data Lake Reporting 141

DataKitchen

JANUARY 3, 2022

Data scientists derive insights from data while business analysts work closely with and tend to the data needs of business units. Business analysts sometimes perform data science, but usually, they integrate and visualize data and create reports and dashboards from data supplied by other groups.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

CIO Business Intelligence

JUNE 23, 2023

The focus here should be on considering all ways your customers currently consume data as well as new ways they might want to achieve better results.

Data Strategy 116

Data Strategy Strategy Visualization Consulting 116

Cloudera

FEBRUARY 15, 2024

Seeing the future in a modern data architecture The key to successfully navigating these challenges lies in the adoption of a modern data architecture. The promise of a modern data architecture might seem like a distant reality, but we at Cloudera believe data can make what is impossible today, possible tomorrow.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

CIO Business Intelligence

AUGUST 2, 2023

So Thermo Fisher Scientific CIO Ryan Snyder and his colleagues have built a data layer cake based on a cascading series of discussions that allow IT and business partners to act as one team. Martha Heller: What are the business drivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific?

Manufacturing 98

Manufacturing Data Architecture Data Strategy Strategy 98

DataKitchen

JUNE 12, 2023

The Customer Journey visually represents the total sum of experiences any given customer has with a brand. We continue to over-invest, as an industry, in the tools that run within our data estate. There are dozens of orchestrators, ETL Tools, databases, data science tools, data visualization tools, and data governance tools.

Testing 130

Testing Dashboards Data Lake Data Science 130

erwin

MAY 13, 2020

Metadata management is the key to managing and governing your data and drawing intelligence from it. Beyond harvesting and cataloging metadata , it also must be visualized to break down the complexity of how data is organized and what data relationships there are so that meaning is explicit to all stakeholders in the data value chain.

Data Governance 93

Data Governance Enterprise Modeling Management 93

CIO Business Intelligence

SEPTEMBER 14, 2023

They’re often responsible for building algorithms for accessing raw data, too, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

AWS Big Data

MAY 22, 2024

Support for JSON pipeline configuration As part of the visual overhaul, OpenSearch Ingestion now offers support for specifying the pipeline configuration in JSON format on the console in addition to the existing YAML support. He is deeply passionate about Data Architecture and helps customers build analytics solutions at scale on AWS.

Data Architecture 112

Data Architecture Visualization Data Transformation Management 112

AWS Big Data

APRIL 3, 2024

They understand that a one-size-fits-all approach no longer works, and recognize the value in adopting scalable, flexible tools and open data formats to support interoperability in a modern data architecture to accelerate the delivery of new solutions. Andries has over 20 years of experience in the field of data and analytics.

Data Lake 105

Data Lake Snapshot Metadata Data Architecture 105

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Data engineer vs. data architect.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

CIO Business Intelligence

MARCH 24, 2023

SAS Data Management Built on the SAS platform, SAS Data Management provides a role-based GUI for managing processes and includes an integrated business glossary, SAS and third-party metadata management, and lineage visualization. Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

APRIL 5, 2022

With code-free ETL/ELT pipeline generation, users can take data from its source to its target warehouse with simple drag-and-drop actions. Adding further agile data modelling functionalities into the product allows models to be updated and redeployed, enabling data architectures to evolve continuously to meet user needs.

Data Warehouse 98

Data Warehouse Visualization Data-driven Data Architecture 98

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 124

Data Lake Analytics Dashboards Metrics 124

AWS Big Data

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. AWS Glue supports the Redshift MERGE SQL command within its data integration jobs.

Data Lake 121

Data Lake Data Warehouse Visualization Snapshot 121

Data Science 101

JUNE 10, 2019

They can clean large amounts of data, explore data sets to find trends, build predictive models, and create a story around their findings. Data Analysts. Data analysts sift through data and provide helpful reports and visualizations. Data Engineers. The Data Science Process.

Data Science 96

Data Science Statistics Machine Learning Predictive Modeling 96

Cloudera

NOVEMBER 1, 2022

Through modern data architectures powered by CDP, including Cloudera-enabled data fabric, data lakehouse, and data mesh , DoD agencies can rapidly provision and manage innovative data engineering, data warehouse, and machine learning environments, with access to secured supply chain data stored in CDP Private Cloud.

Cost-Benefit 89

Cost-Benefit Data Architecture Risk IoT 89

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Unified Studio brings together functionality and tools from the range of standalone studios, query editors, and visual tools available today in Amazon EMR , AWS Glue , Amazon Redshift , Amazon Bedrock , and the existing Amazon SageMaker Studio.

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

AWS Big Data

SEPTEMBER 7, 2023

AWS Glue Data Catalog is a cross-Region metadata store that helps Athena query logs across multiple Regions and provide consolidated results. Amazon QuickSight enables organizations to build visualizations, perform case-by-case analysis, and quickly get business insights from their data anytime, on any device.

Metadata 111

Metadata Dashboards Metrics Visualization 111

CIO Business Intelligence

NOVEMBER 22, 2022

Home Depot , for example, is upgrading its wi-fi systems to make it easier for customers to design, visualize, and buy materials for their projects. To compete in the future, retailers will have to create architectures that rethink the entire flow of data through their systems. It’s not just improving interfaces.

Digital Transformation 145

Digital Transformation Sales Machine Learning Optimization 145

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.

Data Integration 97

Data Integration Data Lake Statistics Data-driven 97

Octopai

JULY 9, 2020

Here are some scenarios in which companies found real benefits from automated data lineage solutions: Data Lineage Enables Complex Data Processing Operations. It required banks to develop a data architecture that could support risk-management tools.

Insurance 98

Insurance Risk Management Machine Learning Metadata 98

datapine

AUGUST 20, 2019

Big data: Architecture and Patterns. The Big data problem can be comprehended properly using a layered architecture. Big data architecture consists of different layers and each layer performs a specific function. The architecture of Big data has 6 layers. Big Data Ingestion.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

AWS Big Data

OCTOBER 23, 2024

This would necessitate the ability to securely share and potentially monetize the company’s data with external partners, such as franchises. BI analysts gained access to all of the data they needed to power their most complex dashboards with consistent performance free of noisy jobs.

Data Warehouse 96

Data Warehouse Cost-Benefit Data Lake Data-driven 96

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. 1: Multi-function analytics . 2: Open formats. Flexible and open file formats.

Metadata 92

Metadata Data Architecture Machine Learning Cost-Benefit 92

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 Finally, our goal is to diminish consumer risk evaluation periods by 80% without compromising the safety of our products.”

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 79

Management Metadata Data Architecture Data Lake 79