erwin

MARCH 30, 2020

To marry the epidemiological data to the population data it will require a tremendous amount of data intelligence about the: Source of the data; Currency of the data; Quality of the data; and. Unraveling Data Complexities with Metadata Management. Data lineage to support impact analysis.

Metadata 122

Metadata IT Data Governance Data Quality 122

Octopai

FEBRUARY 12, 2020

Like any good puzzle, metadata management comes with a lot of complex variables. That’s why you need to use data dictionary tools, which can help organize your metadata into an archive that can be navigated with ease and from which you can derive good information to power informed decision-making. Download Now.

Metadata 72

Metadata Enterprise Management Data Warehouse 72

O'Reilly on Data

DECEMBER 19, 2018

For any codebase, it can tell you where the code came from (provenance), and all the changes that led from the original commit to the version you downloaded. This isn’t surprising; if you’re collecting data from several weather stations and one of them malfunctions, you would expect to see anomalous data.

Machine Learning 279

Machine Learning Software Metadata Testing 279

Timo Elliott

JANUARY 6, 2022

The data you’ve collected and saved over the years isn’t free. If storage costs are escalating in a particular area, you may have found a good source of dark data. Analyze your metadata. If you’ve yet to implement data governance, this is another great reason to get moving quickly.

IT 135

IT Metadata Data-driven Data Governance 135

AWS Big Data

DECEMBER 9, 2024

As organizations process vast amounts of data, maintaining an accurate historical record is crucial. History management in data systems is fundamental for compliance, business intelligence, data quality, and time-based analysis. Upload the two downloaded JAR files on s3:// /jars/ from the S3 console. runtime Jar.

Snapshot 64

Snapshot Data Warehouse Data Lake Data Quality 64

erwin

FEBRUARY 6, 2020

It’s time to automate data management. How to Automate Data Management. 4) Use Integrated Impact Analysis to Automate Data Due Diligence: This helps IT deliver operational intelligence to the business. Business users benefit from automating impact analysis to better examine value and prioritize individual data sets.

Management 144

Management Data Governance Cost-Benefit Metadata 144

erwin

JANUARY 23, 2025

Data intelligence software is continuously evolving to enable organizations to efficiently and effectively advance new data initiatives. With a variety of providers and offerings addressing data intelligence and governance needs, it can be easy to feel overwhelmed in selecting the right solution for your enterprise.

Metadata 52

Metadata Data Quality Data Governance Software 52

DataKitchen

OCTOBER 11, 2021

Figure 1 shows a manually executed data analytics pipeline. First, a business analyst consolidates data from some public websites, an SFTP server and some downloaded email attachments, all into Excel. Based on business rules, additional data quality tests check the dimensional model after the ETL job completes.

Testing 154

Testing Metadata Dashboards Statistics 154

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

Smart Data Collective

SEPTEMBER 26, 2021

Documents encompass and encode data (or information) in a standard format. You don’t necessarily need to download Abode Acrobat to manipulate PDF files. getting back on topic, documents can encode data in various formats, such as Word, XML, JSON, and BSON. It’s a good idea to record metadata.

Metadata 130

Metadata Visualization Unstructured Data Data mining 130

Alation

MARCH 2, 2023

Analysis, however, requires enterprises to find and collect metadata. This data about data is valuable. In fact, Gartner’s “Market Guide for Active Metadata Management” points to “ active metadata management ” as the key to continuous data analysis – which supports smarter human usage and more valuable insights.

Metadata 52

Metadata Marketing IT Data Quality 52

Octopai

JANUARY 21, 2020

How much time has your BI team wasted on finding data and creating metadata management reports? BI groups spend more than 50% of their time and effort manually searching for metadata. In fact, BI projects used to take many months to complete and require huge numbers of IT professionals to extract data. Cube to the rescue.

OLAP 81

OLAP Metadata Online Analytical Processing Data Quality 81

AWS Big Data

MAY 7, 2024

Figure 1: Flow of actions for self-service analytics around data assets stored in relational databases First, the data producer needs to capture and catalog the technical metadata of the data asset. The producer also needs to manage and publish the data asset so it’s discoverable throughout the organization.

Metadata 108

Metadata Data Lake Data Processing Data-driven 108

Ontotext

NOVEMBER 9, 2023

While everyone may subscribe to the same design decisions and agree on an ontology, there may be differences in the data quality. In such situations, data must be validated. Instead, they provide metadata about the shapes. Sometimes there is no room for error. So stay tuned! Ontotext’s GraphDB Give it a try today!

Data Quality 64

Data Quality Testing Reporting Metadata 64

AWS Big Data

NOVEMBER 15, 2023

As the organization receives data from multiple external vendors, it often arrives in different formats, typically Excel or CSV files, with each vendor using their own unique data layout and structure. DataBrew is an excellent tool for data quality and preprocessing. For Matching conditions , choose Match all conditions.

Metadata 115

Metadata Sales Data Lake Big Data 115

Cloudera

APRIL 1, 2024

This recognition is a testament to our vision and ability as a strategic partner to deliver an open and interoperable Cloud data platform, with the flexibility to use the best fit data services and low code, no code Generative AI infused practitioner tools.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

AWS Big Data

MARCH 7, 2023

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources.

Analytics 97

Analytics Data Warehouse Data Lake Metadata 97

Alation

FEBRUARY 13, 2020

Why do we need a data catalog? What does a data catalog do? These are all good questions and a logical place to start your data cataloging journey. Data catalogs have become the standard for metadata management in the age of big data and self-service analytics. Figure 1 – Data Catalog Metadata Subjects.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

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. Agile Data. Another podcast we think is worth a listen is Agile Data. Currently, he is in charge of the Technical Operations team at MIT Open Learning.

Data Governance 83

Data Governance Data Processing Data Quality Metadata 83

AWS Big Data

MARCH 1, 2024

Walkthrough The following sections walk you through implementing the solution using synthetic data. Download the data files and place your files into buckets Amazon S3 serves as a scalable and durable data lake on AWS. The solutions utilize CSV data files containing information classified as PCI, PII, HPR, or Public.

Data Lake 119

Data Lake Data Warehouse Management Risk 119

Alation

SEPTEMBER 22, 2022

Overseeing data quality and ensuring proper usage represent two core reasons. Data pipelines contain valuable information that can be used to improve data quality and ensure data is used properly. As organizations race to become data-driven, more parts of the organization need data intelligence.

Metadata 52

Metadata Data-driven Data Quality Visualization 52

Octopai

APRIL 16, 2020

Some data teams working remotely are making the most of the situation with advanced metadata management tools that help them deliver faster and more accurately, ensuring business as usual, even during coronavirus. Advanced Data Lineage can Calm BI Chaos Read the Whitepaper to learn how Download the Whitepaper.

Metadata 59

Metadata Business Intelligence Uncertainty Data Quality 59

erwin

FEBRUARY 28, 2024

While the essence of success in data governance is people and not technology, having the right tools at your fingertips is crucial. Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool. Next to data governance, data architecture is really embedded in our DNA.

Metadata 52

Metadata Data Governance Data Quality Technology 52

Alation

MARCH 14, 2023

All critical data elements (CDEs) should be collated and inventoried with relevant metadata, then classified into relevant categories and curated as we further define below. Store Where individual departments have their own databases for metadata management, data will be siloed, meaning it can’t be shared and used business-wide.

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

DataRobot Blog

MAY 10, 2022

The first step would be to make sure that the data used at the beginning of the model development process is thoroughly vetted, so that it is appropriate for the use case at hand. This requirement makes sure that no faulty data variables are being used to design a model, so erroneous results are not outputted. Download Now.

Risk 64

Risk Modeling Machine Learning Data Quality 64

Alation

AUGUST 16, 2022

This report underscores the growing need at enterprises for a catalog to drive key use cases, including self-service BI , data governance , and cloud data migration. You can download a copy of the report here. And with our Open Connector Framework , customers and partners can easily build connectors to even more data sources.

Data Quality 52

Data Quality Data Governance Metadata Reporting 52

Alation

MARCH 11, 2022

This white paper makes this information actionable with a methodology, so you can learn how to implement a meshy fabric with your data catalog. For the full story, download the white paper here ! It will offload pressure from IT , improve your data supply chain, and lead to smarter decision making. Download it today.

Metadata 52

Metadata Data Governance ROI Data Quality 52

Alation

MAY 17, 2022

Those algorithms draw on metadata, or data about the data, that the catalog scrapes from source systems, along with behavioral metadata, which the catalog gathers based on human data usage. Beyond sampling, analysts must take care to validate data in other ways. Download the white paper today.

Metadata 52

Metadata Machine Learning Data Quality Reporting 52

Ontotext

MARCH 27, 2024

For example, GPS, social media, cell phone handoffs are modeled as graphs while data catalogs, data lineage and MDM tools leverage knowledge graphs for linking metadata with semantics. RDF is used extensively for data publishing and data interchange and is based on W3C and other industry standards.

Modeling 53

Modeling Metadata Data Quality Enterprise 53

Alation

NOVEMBER 11, 2021

Modern data catalogs are far more than a metadata repository or your grandfather’s data dictionary. They continually analyze data and metadata to provide insight that enables data governance at scale. Data Quality Metrics. Get the latest data cataloging news and trends in your inbox.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

Alation

OCTOBER 19, 2022

Alation’s usability goes well beyond data discovery (used by 81 percent of our customers), data governance (74 percent), and data stewardship / data quality management (74 percent). The report states that 35 percent use it to support data warehousing / BI and the same percentage for data lake processes. “It

Management 52

Management KPI Data Governance Reporting 52

Alation

JUNE 30, 2021

“Alation pioneered the data catalog market and is a leader in this radar report because of its continued innovation,” said Andrew Brust, Analyst at GigaOm. The Data Culture Platform. Data culture springs from human collaboration and innovation. The Data Catalog Solution. See the report for full details.

Reporting 52

Reporting Metadata Data-driven Machine Learning 52

AWS Big Data

JUNE 12, 2023

Therefore, it’s crucial to keep the schema definition in the Schema Registry and the Data Catalog table in sync. To avoid this, it’s recommended to use a data quality check mechanism to identify such anomalies and take appropriate action in case of unexpected behavior. For instructions, see Create a key pair using Amazon EC2.

Management 98

Management Metadata Internet of Things Testing 98

AWS Big Data

DECEMBER 9, 2024

Equally crucial is the ability to segregate and audit problematic data, not just for maintaining data integrity, but also for regulatory compliance, error analysis, and potential data recovery. We discuss two common strategies to verify the quality of published data.

Data Quality 126

Data Quality Publishing Snapshot Data Lake 126

Alation

AUGUST 17, 2021

Alation is a catalyst to a successful Snowflake implementation When used with Snowflake, Alation enables organizations to understand all their data, go-live fast, drive adoption, and govern their data in the cloud. Alation surfaces crucial metadata, so users have context on an asset’s full history, and a clear idea on how to use it.

Data Governance 52

Data Governance Cost-Benefit Enterprise Data Warehouse 52

Alation

NOVEMBER 28, 2022

It’s impossible for data teams to assure the data quality of such spreadsheets and govern them all effectively. If unaddressed, this chaos can lead to data quality, compliance, and security issues. And it’s very difficult to manage these silos of data analysis.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

erwin

DECEMBER 3, 2020

Being able to integrate all data touchpoints, including erwin DM for data modeling, Denodo for data visualization, and Jira for ticketing, has been key. Using erwin DI, customers are powering comprehensive data governance initiatives, cloud migration and other massive digital transformation projects.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141