erwin

JUNE 26, 2020

Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. Three Types of Metadata in a Data Catalog. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

erwin

JANUARY 9, 2020

That’s because it’s the best way to visualize metadata , and metadata is now the heart of enterprise data management and data governance/ intelligence efforts. Data modeling captures how the business uses data and provides context to the data source. So here’s why data modeling is so critical to data governance.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

datapine

SEPTEMBER 29, 2022

What is the definition of data quality? Therefore, there are several roles that need to be filled, including: DQM Program Manager: The program manager role should be filled by a high-level leader who accepts the responsibility of general oversight for business intelligence initiatives. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

OCTOBER 30, 2024

Amazon DataZone now launched authentication supports through the Amazon Athena JDBC driver, allowing data users to seamlessly query their subscribed data lake assets via popular business intelligence (BI) and analytics tools like Tableau, Power BI, Excel, SQL Workbench, DBeaver, and more.

Visualization 119

Visualization Data Lake Testing Data Governance 119

Octopai

SEPTEMBER 14, 2020

Modern data processing depends on metadata management to power enhanced business intelligence. Metadata is of course the information about the data, and the process of managing it is mysterious to those not trained in advanced BI. In this article, you will learn: What does metadata management do?

Metadata 52

Metadata Management Data Processing Machine Learning 52

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata.

Data Governance 142

Data Governance Management Metadata Data Quality 142

DataKitchen

OCTOBER 11, 2021

Second, you must establish a definition of “done.” In DataOps, the definition of done includes more than just some working code. Definition of Done. Monitoring Job Metadata. Figure 7 shows how the DataKitchen DataOps Platform helps to keep track of all the instances of a job being submitted and its metadata.

Testing 152

Testing Metadata Dashboards Statistics 152

erwin

MAY 27, 2020

Visualizing data from anywhere defined by its context and definition in a central model repository, as well as the rules for governing the use of those data elements, unifies enterprise data management. Provide metadata and schema visualization regardless of where data is stored. Nine Steps to Data Modeling.

Modeling 98

Modeling Metadata Data Governance Visualization 98

Octopai

FEBRUARY 8, 2020

While some businesses suffer from “data translation” issues, others are lacking in discovery methods and still do metadata discovery manually. The solution is a comprehensive automated metadata platform. Data lineage is incomplete without the business layer provided by an Automated Business Glossary.

Metadata 90

Metadata Key Performance Indicator Unstructured Data Business Intelligence 90

AWS Big Data

JUNE 10, 2024

This authority extends across realms such as business intelligence, data engineering, and machine learning thus limiting the tools and capabilities that can be used. When evolving such a partition definition, the data in the table prior to the change is unaffected, as is its metadata. Here is where it can get complicated.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

Jen Stirrup

MARCH 29, 2023

SAP Datasphere helps eliminate hidden data debt within organizations, enabling customers to build a business data fabric architecture that quickly delivers meaningful data with business context and logic intact. Business Intelligence is often a search problem in disguise.

Data Warehouse 121

Data Warehouse Metadata Data Integration Business Intelligence 121

Octopai

OCTOBER 8, 2020

Let’s take a more in-depth look at each of these organizational data tools and their influence on business intelligence insights. A Business Glossary Can Be Used Company-Wide. A business glossary provides definitions for the information found inside of a dataset. Which Tool is Right For You?

Metadata 98

Metadata Reporting Business Intelligence Management 98

CIO Business Intelligence

MAY 10, 2023

Through data governance practices, such as accurately labeled metadata and trusted parameters for ownership, definitions, calculations, and use, organizations can ensure they are able to organize and maintain their data in a way that can be useable for AI initiatives.

Metadata 98

Metadata Data Governance Modeling Technology 98

CIO Business Intelligence

OCTOBER 15, 2024

“The data catalog is critical because it’s where business manages its metadata,” said Venkat Rajaji, Senior Vice President of Product Management at Cloudera. But the metadata turf war is just getting started.” Cloudera also has been investing in both Iceberg and REST catalog capability in its platform. And now, everyone knows.

Metadata 117

Metadata Data Processing Uncertainty Data Warehouse 117

CIO Business Intelligence

APRIL 25, 2024

The zero-copy pattern helps customers map the data from external platforms into the Salesforce metadata model, providing a virtual object definition for that object. “It When released, this will extend zero-copy data access to any open data lake or lakehouse that stores data in Iceberg or can provide Iceberg metadata for its table.

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

Smart Data Collective

JULY 27, 2021

Metazoa CEO Jennifer Mercer doesn’t think that either of those definitions is very helpful, especially when it comes to Salesforce. First of all, Salesforce orgs [accounts] need to be highly customized in order to address important business requirements,” states Mercer. The answer is complex at best, but there is hope. Unused assets.

Big Data 137

Big Data Snapshot IT Dashboards 137

Octopai

MARCH 24, 2020

Business Intelligence has a lot depending on it. But, with the amount of time it takes for BI to deliver and the amount of manual data mapping and tracing required to enable accurate delivery, you have to question if maybe BI could be made more intelligent. So, what is BI Intelligence you ask? Business Glossary.

Metadata 61

Metadata Cost-Benefit Business Intelligence Data Warehouse 61

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Iceberg stores the metadata pointer for all the metadata files. The following example demonstrates this.

Data Lake 119

Data Lake Data Warehouse Metadata Data Architecture 119

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. One of the longer-term trends that we’re seeing with Airflow , and so on, is to externalize graph-based metadata and leverage it beyond the lifecycle of a single SQL query, making our workflows smarter and more robust. BTW, videos for Rev2 are up: [link].

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

erwin

JUNE 27, 2019

The chosen data modeling tool should be able to read the technical formats of each of these platforms and translate them into highly graphical models rich in metadata. A data modeling tool should give business users confidence in the information they use to make decisions.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

erwin

SEPTEMBER 25, 2020

Data modeling is a critical component of metadata management , data governance and data intelligence. It provides an integrated view of conceptual, logical and physical data models to help business and IT stakeholders understand data structures and their meaning. Reduce risks and costs. Foster successful cloud adoption.

Modeling 111

Modeling Cost-Benefit Visualization Data Warehouse 111

AWS Big Data

DECEMBER 5, 2023

For the files with unknown structures, AWS Glue crawlers are used to extract metadata and create table definitions in the Data Catalog. These table definitions are used as the metadata repository for external tables in Amazon Redshift.

Measurement 105

Measurement Dashboards Data Warehouse Analytics 105

AWS Big Data

NOVEMBER 29, 2023

It enables data engineers, data scientists, and analytics engineers to define the business logic with SQL select statements and eliminates the need to write boilerplate data manipulation language (DML) and data definition language (DDL) expressions. Data engineers write dbt models with templatized SQL.

Data Lake 122

Data Lake Management Metrics Data Warehouse 122

AWS Big Data

JULY 24, 2024

For example, an entity table could be a product table that contains product metadata and joins to a transaction event table on a product_id. With a view, which is essentially a query definition on top of the actual data tables, we avoid the need to replicate data at all. The data team needs data to run business intelligence.

Data Warehouse 126

Data Warehouse Cost-Benefit Marketing Testing 126

Alation

MAY 24, 2022

Additionally, a set of key features will accelerate data governance and simplify the security of sensitive metadata. To harness the relationship between data quality and data governance, Alation is investing in accelerating governance capabilities and simplifying the security of sensitive metadata. Enhanced business glossary.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

Cloudera

FEBRUARY 8, 2024

Materialized views are valuable for accelerating common classes of business intelligence (BI) queries that consist of joins, group-bys and aggregate functions. Note that the materialized view definition contains the ‘stored by iceberg’ clause. Such a query pattern is quite common in BI queries.

Snapshot 91

Snapshot Metadata Cost-Benefit Data Warehouse 91

Octopai

MAY 31, 2022

Business intelligence is the primary place where your data becomes an asset. But the data needs to be managed so that it can be leveraged as an asset, driving your business forward and creating positive ROI. Bonus tool: active metadata management. If you want your data to be a business asset, treat it like one.

Management 52

Management Metadata Business Intelligence ROI 52

Octopai

DECEMBER 10, 2019

Well, scoot over Templeton, because it’s also going to be the year of the Automated Business Glossary for business intelligence and data governance teams everywhere. It should go beyond just listing definitions to key terms. Not sure if you need a Business Glossary or a Data Dictionary?

Data Warehouse 69

Data Warehouse Metadata Reporting Business Intelligence 69

Octopai

SEPTEMBER 21, 2020

A crucial part of every company’s business intelligence (BI) is its data dictionary. When you have a well-structured data dictionary, you provide BI teams with an easy way to track and manage metadata throughout the entire enterprise. A data dictionary is essentially a one-stop-shop for all of these terms and definitions.

Metadata 52

Metadata Enterprise Structured Data Business Intelligence 52

Octopai

MAY 18, 2020

You must examine the report definition and track the path of each item on the report to its original sources. Your business intelligence team has better things to do with their time, but they can’t make any headway because they continually have to stop what they’re doing to chase down reporting errors.

Metadata 52

Metadata Reporting Business Intelligence Data Warehouse 52

Octopai

NOVEMBER 13, 2022

The components that make up a modern data stack are usually characterized by a high level of automation that leave humans free to do the truly intelligent parts of business intelligence. Your data lineage tool should be no different. Data lineage that integrates with a data catalog.

Enterprise 97

Enterprise Data Warehouse Reporting Metadata 97

Sisense

JULY 6, 2020

EDM covers the entire organization’s data lifecycle: It designs and describes data pipelines for each enterprise data type: metadata, reference data, master data, transactional data, and reporting data. Business Intelligence also empowers end-users with those insights, enabling them to make smarter, data-driven business decisions.

Enterprise 98

Enterprise Management Data Architecture Data-driven 98

Octopai

JANUARY 31, 2021

The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. The topics they feature include: big data, technology trends, data management, online privacy, security, personal tech, IT business, and cloud computing. Agile Data.

Data Governance 83

Data Governance Data Processing Data Quality Metadata 83

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” So how does data intelligence support governance?

Metadata 64

Metadata Data Governance Dashboards Software 64

CIO Business Intelligence

JUNE 12, 2024

For example, gen AI can be used to extract metadata from documents, create indexes of information and knowledge graphs, and to query, summarize, and analyze this data. Gen AI is definitely something that’s going to help, but there are a lot of traditional best practices that need to be implemented first,” he says.

Modeling 140

Modeling Testing Cost-Benefit Metadata 140

Alation

FEBRUARY 13, 2020

A broader definition of Business Intelligence. In their Wisdom of Crowds® Data Catalog Market Study, Dresner assessed data catalog solutions from the perspective of business intelligence (BI). To interpret the study accurately, it’s important to distinguish that Dresner’s definition of BI is broader than BI tools.

Business Intelligence 52

Business Intelligence Machine Learning Marketing Metadata 52

TDAN

JANUARY 14, 2020

Data Governance requirements are instrumental to 1) planning for Data Governance, 2) the definition of Data […]. Practitioners know that Data Governance requires planning, resources, money and time and that several of these objects are in short supply.

Data Governance 89

Data Governance Metadata Data Strategy Business Intelligence 89