erwin

FEBRUARY 28, 2019

When you think of real-time, data-driven experiences and modern applications to accomplish tasks faster and easier, your local town or city government probably doesn’t come to mind. But municipal government is starting to embrace digital transformation and therefore data governance.

Digital Transformation 106

Digital Transformation Data Governance Data-driven Data Warehouse 106

CIO Business Intelligence

NOVEMBER 7, 2024

We are still maturing in this capability, but we have fully recognized that we have shared data responsibilities. We have a data office that focuses on data governance, data domain stewardship, and access, and this group sits outside of IT. Our approach is two-pronged. So that’s the journey we’re on.

Insurance 120

Insurance Experimentation Testing Technology 120

AWS Big Data

JUNE 26, 2024

New feature: Custom AWS service blueprints Previously, Amazon DataZone provided default blueprints that created AWS resources required for data lake, data warehouse, and machine learning use cases. If you’re new to Amazon DataZone, refer to Getting started.

Data Lake 103

Data Lake Data Warehouse Unstructured Data Data Governance 103

AWS Big Data

JUNE 29, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud that delivers powerful and secure insights on all your data with the best price-performance. With Amazon Redshift, you can analyze your data to derive holistic insights about your business and your customers.

Data Warehouse 64

Data Warehouse Dashboards Testing Visualization 64

BI-Survey

JANUARY 15, 2023

Statements from countless interviews with our customers reveal that the data warehouse is seen as a “black box” by many and understood by few business users. Therefore, it is not clear why the costly and apparently flexibility-inhibiting data warehouse is needed at all. The limiting factor is rather the data landscape.

Data Warehouse 52

Data Warehouse IT Data Architecture Measurement 52

AWS Big Data

OCTOBER 10, 2024

Amazon Redshift has established itself as a highly scalable, fully managed cloud data warehouse trusted by tens of thousands of customers for its superior price-performance and advanced data analytics capabilities. This allows you to maintain a comprehensive view of your data while optimizing for cost-efficiency.

Data Lake 102

Data Lake Data Warehouse Recreation/Entertainment Data-driven 102

AWS Big Data

MARCH 6, 2025

Tens of thousands of customers use Amazon Redshift for modern data analytics at scale, delivering up to three times better price-performance and seven times better throughput than other cloud data warehouses. Refer to IAM Identity Center identity source tutorials for the IdP setup. IAM Identity Center enabled.

Visualization 82

Visualization Sales Data Warehouse Management 82

erwin

FEBRUARY 7, 2019

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. The volume and variety of data has snowballed, and so has its velocity. As such, traditional – and mostly manual – processes associated with data management and data governance have broken down.

Metadata 96

Metadata Insurance Data-driven Cost-Benefit 96

erwin

JULY 17, 2019

The solution is data intelligence. It improves IT and business data literacy and knowledge, supporting enterprise data governance and business enablement. Organizations need a real-time, accurate picture of the metadata landscape to: Discover data – Identify and interrogate metadata from various data management silos.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

datapine

SEPTEMBER 29, 2022

Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. But first, let’s define what data quality actually is. What is the definition of data quality? Why Do You Need Data Quality Management?

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

MARCH 22, 2022

One option is a data lake—on-premises or in the cloud—that stores unprocessed data in any type of format, structured or unstructured, and can be queried in aggregate. Another option is a data warehouse, which stores processed and refined data. Set up unified data governance rules and processes.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

erwin

JULY 2, 2020

a senior business process management architect at a pharma/biotech company with more than 5,000 employees, erwin Evolve was useful for enterprise architecture reference. As he put it, “We are describing our business process and we are trying to describe our data catalog. Data Modeling with erwin Data Modeler. George H.,

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

AWS Big Data

JUNE 25, 2024

This post is co-authored by Vijay Gopalakrishnan, Director of Product, Salesforce Data Cloud. In today’s data-driven business landscape, organizations collect a wealth of data across various touch points and unify it in a central data warehouse or a data lake to deliver business insights.

Data Lake 112

Data Lake Cost-Benefit Data-driven Data Warehouse 112

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 90

Data Lake Data Governance Data Architecture Machine Learning 90

AWS Big Data

MARCH 7, 2023

Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. A data hub is a center of data exchange that constitutes a hub of data repositories and is supported by data engineering, data governance, security, and monitoring services.

Analytics 79

Analytics Data Warehouse Data Lake Metadata 79

AWS Big Data

AUGUST 15, 2024

Data producers (data owners) can add context and control access through predefined approvals, providing secure and governed data sharing. To learn more about the core components of Amazon DataZone, refer to Amazon DataZone terminology and concepts.

Data Quality 107

Data Quality Visualization Metadata Key Performance Indicator 107

AWS Big Data

JUNE 28, 2023

For more details, refer to the What’s New Post. There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g. For this illustration, we use a provisioned Aurora database and an Amazon Redshift Serverless data warehouse.

Data Warehouse 96

Data Warehouse Analytics Metrics Dashboards 96

Alation

JANUARY 26, 2023

These data requirements could be satisfied with a strong data governance strategy. Governance can — and should — be the responsibility of every data user, though how that’s achieved will depend on the role within the organization. How can data engineers address these challenges directly?

Data Governance 52

Data Governance Strategy Data Quality Data Collection 52

AWS Big Data

MARCH 27, 2024

The solution uses AWS services such as AWS HealthLake , Amazon Redshift , Amazon Kinesis Data Streams , and AWS Lake Formation to build a 360 view of patients. You can send data from your streaming source to this resource for ingesting the data into a Redshift data warehouse. reference", SUBSTRING(a."patient"."reference",

Data Analytics 106

Data Analytics Analytics Data Warehouse Data Lake 106

erwin

JUNE 26, 2020

It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., legacy systems, data warehouses, flat files stored on individual desktops and laptops, and modern, cloud-based repositories.). Business Metadata.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

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 96

Data Lake Metadata Data Warehouse Data Processing 96

CIO Business Intelligence

OCTOBER 13, 2022

The deliverables could be reference architectures or an industry-specific proof of concept—the goal is to offer institutional knowledge and near-turn-key solutions meant to streamline modernization and accelerate time-to-value.

Insurance 115

Insurance Data Warehouse Manufacturing Forecasting 115

AWS Big Data

JULY 8, 2024

Amazon Redshift Serverless is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, simple, and secure analytics at scale. Amazon Redshift data sharing allows you to share data within and across organizations, AWS Regions, and even third-party providers, without moving or copying the data.

Data Warehouse 119

Data Warehouse IT Recreation/Entertainment Cost-Benefit 119

datapine

FEBRUARY 22, 2022

A business intelligence strategy refers to the process of implementing a BI system in your company. This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Or does building a data warehouse make sense for your organization? Define a budget.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. This blog focuses on governing spreadsheets that contain data, information, and metadata, and must themselves be governed.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

erwin

SEPTEMBER 25, 2020

With each stage of data modeling, the data model becomes more information- and context-rich. A conceptual data model is a rough draft, containing the relevant concepts or entities and the relationships between them. A logical data model, also referred to as information modeling, is the second stage of data modeling.

Modeling 111

Modeling Cost-Benefit Visualization Data Warehouse 111

AWS Big Data

MARCH 5, 2025

In this solution (as shown in the preceding figure), the AWS account that contains the data assets is referred to as the producer account. The AWS account that needs to access or use the data from the producer account is referred to as the consumer account. You will then publish the data assets from these data sources.

Analytics 59

Analytics Publishing Metadata Sales 59

Cloudera

AUGUST 26, 2020

Talend’s data management environment running on Cloudera Data Platform enables you to create and execute Hadoop and Spark integration jobs, process and reconcile Big Data, and implement data governance processes using an intuitive drag-and-drop interface. Reference Architectures for CDP Private Cloud Base.

Machine Learning 84

Machine Learning Big Data Data Warehouse Data-driven 84

AWS Big Data

JULY 21, 2023

This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts. We recently announced the integration of Amazon Redshift data sharing with AWS Lake Formation. S3 data lake – Contains the web activity and leads datasets.

Data Lake 93

Data Lake Data Warehouse Marketing Management 93

AWS Big Data

SEPTEMBER 11, 2024

Source systems Aruba’s source repository includes data from three different operating regions in AMER, EMEA, and APJ, along with one worldwide (WW) data pipeline from varied sources like SAP S/4 HANA, Salesforce, Enterprise Data Warehouse (EDW), Enterprise Analytics Platform (EAP) SharePoint, and more.

Data Architecture 97

Data Architecture Optimization Data Warehouse Metadata 97

AWS Big Data

JULY 29, 2024

Amazon DataZone is a powerful data management service that empowers data engineers, data scientists, product managers, analysts, and business users to seamlessly catalog, discover, analyze, and govern data across organizational boundaries, AWS accounts, data lakes, and data warehouses.

Data Warehouse 91

Data Warehouse Sales Metadata Publishing 91

AWS Big Data

APRIL 25, 2024

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that you can use to set up and operate data pipelines in the cloud at scale. Apache Airflow is an open source tool used to programmatically author, schedule, and monitor sequences of processes and tasks, referred to as workflows.

Metadata 116

Metadata Data Processing Management Testing 116

AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. Amazon DataZone allows you to simply and securely govern end-to-end data assets stored in your Amazon Redshift data warehouses or data lakes cataloged with the AWS Glue data catalog.

Metadata 87

Metadata Data Lake Data Processing Data-driven 87

AWS Big Data

OCTOBER 20, 2023

Prerequisites You need the following prerequisites: A storage account in Microsoft Azure and your data path in Azure Blob Storage. For instructions, refer to Create a storage account shared key. For instructions, refer to Creating ETL jobs with AWS Glue Studio. Prepare the storage account credentials in advance.

Data Lake 97

Data Lake Big Data Data Warehouse Consulting 97

AWS Big Data

JULY 28, 2023

Organizations must comply with these requests provided that there are no legitimate grounds for retaining the personal data, such as legal obligations or contractual requirements. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tags provide metadata about resources at a glance.

Snapshot 91

Snapshot Metadata Measurement Data Warehouse 91

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. This consolidated view acts as a liaison between the data platform and customer-centric applications.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

Laminar Security

DECEMBER 13, 2023

They offer a comprehensive solution to enhance your cloud security posture and effectively manage your data. The primary focus of discovery is to find all the places where data exists and identify the assets it resides in. It helps in determining what data you have and its sensitivity.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119