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. Simply put, metadata adds context.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

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

O'Reilly on Data

JULY 28, 2020

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. Garbage in, garbage out” holds true for AI, so good AI PMs must concern themselves with data health.

Marketing 361

Marketing Experimentation Metrics Testing 361

Cloudera

JANUARY 21, 2022

Auditing has been setup for data in the metastore. System metadata is reviewed and updated regularly. Ideally, the cluster has been setup so that lineage for any data object can be traced (data governance). Key management systems handle encryption keys. More broadly Apache Ranger provides: .

Data Processing 110

Data Processing Management Cost-Benefit Finance 110

Peter James Thomas

AUGUST 29, 2018

I have since run and driven transformation in Reference Data, Master Data , KYC [3] , Customer Data, Data Warehousing and more recently Data Lakes and Analytics , constantly building experience and capability in the Data Governance , Quality and data services domains, both inside banks, as a consultant and as a vendor.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 66

Data Quality Data Integration Metadata Cost-Benefit 66

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. Iceberg, on the other hand, is an open table format that works with open file formats to avoid this coupling.

Metadata 90

Metadata Data Architecture Machine Learning Cost-Benefit 90

erwin

SEPTEMBER 25, 2020

Understanding the benefits of data modeling is more important than ever. Data modeling is the process of creating a data model to communicate data requirements, documenting data structures and entity types. In this post: What Is a Data Model? Why Is Data Modeling Important?

Modeling 111

Modeling Cost-Benefit Visualization Metadata 111

AWS Big Data

APRIL 28, 2023

The first post of this series describes the overall architecture and how Novo Nordisk built a decentralized data mesh architecture, including Amazon Athena as the data query engine. The third post will show how end-users can consume data from their tool of choice, without compromising data governance.

Data Governance 65

Data Governance Management Data-driven Data Lake 65

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. The following diagram illustrates the different pipelines to ingest data from various source systems using AWS services.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

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.

Risk 76

Risk Consulting Modeling Data Processing 76

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. Less data gets decompressed, deserialized, loaded into memory, run through the processing, etc.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 117

Data Lake Metadata Optimization Statistics 117

Alation

JANUARY 17, 2023

In actual fact, it isn’t all that confusing at all, and understanding what it means can have huge benefits for your organization. In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? Data ingestion/integration services.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Sisense

JULY 6, 2020

First off, this involves defining workflows for every business process within the enterprise: the what, how, why, who, when, and where aspects of data. Like any complex system, your company’s EDM system is made up of a multitude of smaller subsystems, each of which has a specific role in creating the final data products.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

Laminar Security

AUGUST 23, 2023

Tracking real-time activity is cost prohibitive & noisy To monitor their cloud environment for real-time attacks or data leaks, a security team must log activity on their sensitive data. What are the benefits of cloud data security? We only use your metadata for further analysis and reporting.

Cost-Benefit 52

Cost-Benefit Risk Digital Transformation Strategy 52

Alation

FEBRUARY 20, 2020

With a cloud deployment, enterprises can leverage a “pay as you go” model; reducing the burden of incurring capital costs. Not only can resources be quickly provisioned and optimized for different workloads and processing needs, but it can be done cost effectively. Data that needs to be tightly controlled (e.g.

Data Lake 52

Data Lake ROI Metadata Cost-Benefit 52

Andrew White

JANUARY 9, 2022

Yet there is no inclusion in the conversation about the costs and issues related to the battery and materials used in the most expensive part of the EV. Could you precise to which complementary research you mentioned when you talked about a data governance survey ? – Data (and analytics) governance remains a challenge.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Alation

NOVEMBER 11, 2021

This is mostly due to cost-saving and data sharing benefits. As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. 9 Key Principles of Cloud Data Governance.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

erwin

NOVEMBER 14, 2019

Data governance tools used to occupy a niche in an organization’s tech stack, but those days are gone. The rise of data-driven business and the complexities that come with it ushered in a soft mandate for data governance and data governance tools. Data Governance Tools for Regulatory Compliance.

Data Governance 105

Data Governance Cost-Benefit Data-driven Metadata 105

erwin

NOVEMBER 14, 2019

Data governance tools used to occupy a niche in an organization’s tech stack, but those days are gone. The rise of data-driven business and the complexities that come with it ushered in a soft mandate for data governance and data governance tools. Data Governance Tools for Regulatory Compliance.

Data Governance 40

Data Governance Cost-Benefit Data-driven Metadata 40

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. Data and Metadata: Data inputs and data outputs produced based on the application logic.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

IBM Big Data Hub

AUGUST 4, 2023

When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?” ” through a truly data literate organization. What is data democratization?

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

Alation

OCTOBER 4, 2022

At the same time, there’s a growing opportunity to learn from customer data to deliver superior products and services. For these reasons, insurers are adopting data governance solutions for a range of use cases. What is Data Governance in the Insurance Industry? Why is it Important?

Insurance 52

Insurance Data Governance Risk Strategy 52

erwin

JULY 17, 2019

It gives them the ability to identify what challenges and opportunities exist, and provides a low-cost, low-risk environment to model new options and collaborate with key stakeholders to figure out what needs to change, what shouldn’t change, and what’s the most important changes are. With automation, data quality is systemically assured.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

AWS Big Data

AUGUST 14, 2023

In the same way, overly restrictive data governance practices that either prevent data products from taking root at all, or pare them back too aggressively (deforestation), can over time create “data deserts” that drive both the producers and consumers of data within an organization to look elsewhere for their data needs.

Management 83

Management Risk Measurement Optimization 83

Andrew White

JANUARY 11, 2021

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. With a success behind you, sell that experience as the kind of benefit you can help improve.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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

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