erwin

APRIL 16, 2024

In this blog, we’ll delve into the critical role of governance and data modeling tools in supporting a seamless data mesh implementation and explore how erwin tools can be used in that role. erwin also provides data governance, metadata management and data lineage software called erwin Data Intelligence by Quest.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

AWS Big Data

JULY 25, 2023

About Talend Talend is an AWS ISV Partner with the Amazon Redshift Ready Product designation and AWS Competencies in both Data and Analytics and Migration. Talend Cloud combines data integration, data integrity, and data governance in a single, unified platform that makes it easy to collect, transform, clean, govern, and share your data.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

IBM Big Data Hub

OCTOBER 16, 2023

Digital sovereignty encompasses three main streams: Operational sovereignty refers to transparency and control of provider’s operational processes and eliminates bad actors or processes which will malign access and quality of valuable information.

Cost-Benefit 67

Cost-Benefit Data Governance Risk Data-driven 67

datapine

MARCH 25, 2019

With so much data and so little time, knowing how to collect, curate, organize, and make sense of all of this potentially business-boosting information can be a minefield – but online data analysis is the solution. Build a data management roadmap.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

Alation

DECEMBER 9, 2021

Then, we’ll dive into the strategies that form a successful and efficient cloud transformation strategy, including aligning on business goals, establishing analytics for monitoring and optimization, and leveraging a robust data governance solution. Choose the Right Cloud Hosting Platform. Leverage a Data Governance Solution.

Cost-Benefit 52

Cost-Benefit Data Governance Optimization Data Processing 52

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

IBM Big Data Hub

APRIL 11, 2024

The term governance can be slippery. In the context of AI, it can refer to the safety and ethics guardrails of AI tools and systems, policies concerning data access and model usage or the government-mandated regulation itself. Step 2: Have the government agency that is establishing the policy act as judge for the event.

Risk 75

Risk Consulting Modeling Data Processing 75

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 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

datapine

DECEMBER 11, 2019

Improved data governance: Vertical SaaS is positioned to address data governance procedures via the inclusion of industry-specific compliance capabilities, which has the additional benefit of providing increased transparency. 6) Micro-SaaS. The seventh in our definitive rundown of SaaS trends comes in the form of policy.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

CIO Business Intelligence

AUGUST 16, 2023

Snowflake’s Document AI is a LLM that runs within a secure, private environment, he says, without any risk that private data would be shipped off to an outside service or wind up being used to train the vendor’s model. “We We need to secure this data, and make sure it has access controls and all the standard data governance,” he says.

Modeling 85

Modeling Enterprise Cost-Benefit Data Science 85

Cloudera

OCTOBER 7, 2021

According to the Enterprise Data Management Council , an Authoritative Data Domain is “A Data Domain that has been designated, verified, approved and enforced by the data management governing body”. .

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

IBM Big Data Hub

MAY 28, 2024

That plan might involve switching over to a redundant set of servers and storage systems until your primary data center is functional again. A third-party provider hosts and manages the infrastructure used for disaster recovery. Disaster recovery as a service (DRaaS) is a managed approach to disaster recovery.

Strategy 72

Strategy Measurement Risk Cost-Benefit 72

AWS Big Data

FEBRUARY 19, 2024

Collaborate on live data with ease The are times when two teams use different warehouses for data governance, compute performance, or cost reasons, but also at times need to write to the same shared data. We use the publicly available 10 GB TPCH dataset from AWS Labs, hosted in an S3 bucket.

Cost-Benefit 87

Cost-Benefit Data Warehouse Marketing Interactive 87

Alation

DECEMBER 14, 2021

Furthermore, does my application really need a server of its own in the first place — especially when the organizational plan involves hosting everything on an external service? What is cloud-hosted? Cloud hosting refers to cloud technologies that provide processing and storage space for cloud solutions. Oracle Cloud.

Cost-Benefit 52

Cost-Benefit Data Processing Optimization Consulting 52

AWS Big Data

JANUARY 22, 2024

Discussions with users showed they were happier to have faster access to data in a simpler way, a more structured data organization, and a clear mapping of who the producer is. A lot of progress has been made to advance their data-driven culture (data literacy, data sharing, and collaboration across business units).

Data-driven 87

Data-driven Advertising Metadata Data Architecture 87

AWS Big Data

MARCH 27, 2023

Data producers can use the data mesh platform to create datasets and share them across business teams to ensure data availability, reliability, and interoperability across functions and data subject areas. The data mesh producer account hosts the encrypted S3 bucket, which is shared with the central governance account.

Data Lake 88

Data Lake Data-driven Management Data Architecture 88

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. Will it be implemented on-premises or hosted using a cloud platform? What types of features do AI platforms offer?

Machine Learning 73

Machine Learning Manufacturing Cost-Benefit Deep Learning 73

Laminar Security

MAY 3, 2023

Six Important Takeaways Around DSPM #1: Organizations are Rapidly Adopting DSPM Solutions to Combat Shadow Data “By 2026, more than 20% of organizations will deploy DSPM technology, due to the urgent requirements to identify and locate previously unknown data repositories and to mitigate associated security and privacy risks.”

Management 52

Management Risk Risk Management Data Processing 52

Laminar Security

AUGUST 23, 2023

Unlike approaches tailored to securing cloud infrastructure, cloud data security follows and defends your sensitive data wherever it goes or resides—and regardless of type—whether structured, unstructured, managed, or self-hosted. Team members can also reference step-by-step instructions on how to fix the violation.

Cost-Benefit 52

Cost-Benefit Risk Digital Transformation Strategy 52

Alation

FEBRUARY 20, 2020

Experts who understand certain datasets often play the stewardship role of ensuring that data consumers can make accurate and effective use of data. More recently, data governance initiatives have started to assign formal stewardship responsibility. In the release of Alation 4.0, support for IBM Watson DataWorks.

Metadata 52

Metadata Enterprise Data Processing Data Architecture 52

AWS Big Data

AUGUST 16, 2023

For more details, refer to Creating Apache Iceberg tables. For accessing the data using Athena, you can also use Lake Formation to secure your Iceberg table using fine-grained access control permissions when you register the Amazon S3 data location with Lake Formation.

Data Lake 81

Data Lake Metadata Snapshot Management 81

Smart Data Collective

AUGUST 14, 2019

The rise of AI-powered chatbots , virtual assistants, and the Internet of Things (IoT) are driving data complexity, new forms and sources of information. “ Big data analytics: solutions to the industry challenges. However, the major concern they have when moving to the cloud is the lack of control over where their data is kept.

Big Data 78

Big Data Data Analytics Analytics Internet of Things 78

datapine

FEBRUARY 22, 2022

A business intelligence strategy refers to the process of implementing a BI system in your company. While privacy and security are tight to each other, there are other ways in which data can be misused and you need to make sure you are carefully considering this when building your strategies. Ensure data literacy.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

IBM Big Data Hub

JANUARY 22, 2024

Put another way, it’s the person the data relates to. The owners of those phone numbers would be data subjects. When the GDPR refers to data subjects, it means data subjects who reside in the EEA. Subjects need not be EU citizens to have data privacy rights under the GDPR.

Measurement 82

Measurement Risk Data Processing Data Collection 82

CIO Business Intelligence

JUNE 21, 2023

hosted in a private Azure cloud. Another option for companies with very particular requirements but no interest in training their own models is to use something like ChatGPT and then give it access to company data via a vector database. Can we keep our data, customers, and employees safe? Turbo and GPT 4.0

Cost-Benefit 89

Cost-Benefit Modeling Risk Enterprise 89

Alation

JANUARY 17, 2023

A modern data stack relies on cloud computing, whereas a legacy data stack stores data on servers instead of in the cloud. Modern data stacks provide access for more data professionals than a legacy data stack. Data governance is a key use case of the modern data stack.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Domino Data Lab

JULY 2, 2019

Although not specifically cited by the AutoPandas project (apologies if I missed a reference?) several aspects of that earlier U Washington project seem remarkably similar, including the experimental design, train/test data source, and even the slides. Data-related events to mark on your calendars: spaCy IRL , Jul 5-6, Berlin.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Jet Global

FEBRUARY 23, 2024

ETL is beneficial for larger data volumes and diverse sources, and may be necessary for data architects, developers, and administrators considering factors like volume, source diversity, accuracy, and efficiency. Data Migration Data migration refers to the process of transferring data from one location or format to another.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. Could you precise to which complementary research you mentioned when you talked about a data governance survey ? – Data (and analytics) governance remains a challenge. This was from 2020.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Domino Data Lab

JULY 9, 2019

Wiggins advised that data scientists ingest business problems, re-frame them as ML tasks, execute on the ML tasks, and then clearly and concisely communicate the results back to the organization. We try all to play well with each other including data governance which is something Paco mentioned.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. It is meant to be a desk-reference for that role for 2021. But I am not sure if this is what you mean.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52