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 Marketing 52

Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. The SDX layer of CDP leverages the full spectrum of Atlas to automatically track and control all data assets.

Data Governance 93

Data Governance Metadata Enterprise Data Processing 93

Alation

FEBRUARY 20, 2020

Gartner predicts that “By 2020, 50% of information governance initiatives will be enacted with policies based on metadata alone.”. Magic Quadrant for Metadata Management Solutions , Guido de Simoni and Roxane Edjlali, August 10, 2017. Metadata management no longer refers to a static technical repository.

Metadata 52

Metadata Management Data-driven Data Governance 52

erwin

MARCH 30, 2020

To do this, the consortium will need the ability to automatically scan and catalog the data sources and apply strict data governance and quality practices. Unraveling Data Complexities with Metadata Management. Metadata management will be critical to the process for cataloging data via automated scans.

Metadata 122

Metadata IT Data Governance Data Quality 122

Octopai

JUNE 24, 2019

There are a number of scenarios that necessitate data governance tools. Businesses operating within strict industry regulations, utilizing analytics software, and/or regularly consolidating data in key subject areas will find themselves looking into data governance tools to help them achieve their goals.

Data Governance 42

Data Governance Metadata Unstructured Data Software 42

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. Why Have a Data Dictionary? #1

Metadata 54

Metadata Enterprise Management Data Warehouse 54

CIO Business Intelligence

OCTOBER 13, 2023

Application data architect: The application data architect designs and implements data models for specific software applications. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Octopai

JUNE 19, 2023

In an era where data is often referred to as the new oil, having a well-organized and easily accessible data catalog is no longer a luxury but a necessity as organizations deal with the deluge of too much data (data bloatedness) coming from every system and landscape.

Metadata 88

Metadata Data Governance Measurement Risk Management 88

CIO Business Intelligence

MAY 10, 2023

AI relies upon large sets of data fed into it to help create output but is limited by the quality of data that is consumed by the model. This was on display during the initial test releases of Google Bard, where it provided a factually inaccurate answer on the James Webb Space Telescope based on reference data it ingested.

Metadata 98

Metadata Data Governance Modeling Technology 98

TDAN

DECEMBER 31, 2019

In a 1971 book titled, “Silent Messages,” by Albert Mehrabian, the combination of non-verbal and spoken words is referred to as the 7%-38%-55% rule (source). The words you speak are a small fraction of communication. Think of it this way. When you […].

Metadata 59

Metadata IT Data Governance Business Intelligence 59

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.). This also diminishes the value of data as an asset. Technical Metadata.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

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 70

Analytics Data Warehouse Data Lake Metadata 70

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 72

Metadata Data Processing Management Testing 72

TDAN

JUNE 18, 2019

Part one of this series addressed the structure of the Non-Invasive Data Governance Framework. I refer to the row labels as the Levels or perspectives of the organization and the column labels as the Core Components of a […]. In part two, I detail each of the labels on the rows and columns of the framework.

Data Governance 45

Data Governance Metadata Data Strategy Business Intelligence 45

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 Governance with erwin Data Intelligence.

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

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 80

Data Lake Data Governance Data Architecture Machine Learning 80

Alation

APRIL 18, 2023

Gartner defines data profiling as: A technology for discovering and investigating data quality issues, such as duplication, lack of consistency, and lack of accuracy and completeness. The tools provide data statistics, such as degree of duplication and ratios of attribute values, both in tabular and graphical formats.

IT 52

IT Data Quality Metadata Data Governance 52

Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. You can see why it’s referred to by number and not by the title.) It will not surprise you to learn all 11 of the bank-relevant principles are related to data in some form or fashion.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

TDAN

APRIL 4, 2023

To talk with Bob Seiner is to talk with a friend and a personal reference in the field of data management. The fact that I have collaborated with him in the translation of his first book, Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success, into Spanish is a source of pride. After […]

Data Governance 52

Data Governance Management Metadata Data Strategy 52

AWS Big Data

AUGUST 16, 2023

Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. Iceberg captures metadata information on the state of datasets as they evolve and change over time. For more details, refer to Creating Apache Iceberg tables.

Data Lake 76

Data Lake Metadata Snapshot Management 76

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? 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Alation

FEBRUARY 20, 2020

As data drives more and more of the modern economy, data governance and data management are racing to keep up with an ever-expanding range of requirements, constraints and opportunities. This means that processes for identifying, sourcing, understanding, assessing and ingesting such data must be developed.

IT 52

IT Metadata Data Governance Data Warehouse 52

Cloudera

AUGUST 10, 2021

SDX enhancements for improved platform and data governance, including the following notable features: . Atlas / Kafka integration provides metadata collection for Kafa producers/consumers so that consumers can manage, govern, and monitor Kafka metadata and metadata lineage in the Atlas UI. x, and 6.3.x,

Metadata 96

Metadata Sales Statistics Management 96

Alation

FEBRUARY 13, 2020

Data curation is important in today’s world of data sharing and self-service analytics, but I think it is a frequently misused term. When speaking and consulting, I often hear people refer to data in their data lakes and data warehouses as curated data, believing that it is curated because it is stored as shareable data.

Metadata 52

Metadata Data Warehouse Data Lake Data Governance 52

Alation

SEPTEMBER 21, 2021

Modern data environments are highly distributed, diverse, and dynamic, many different data types are being managed in the cloud and on-premises, in many different data management technologies, and data is continuously flowing and changing – not unlike traffic on a highway. Data Intelligence Benefits.

Metadata 52

Metadata Testing Recreation/Entertainment Data-driven 52

Alation

DECEMBER 21, 2022

Transactional systems and data warehouses can then use the golden records as the entity’s most current, trusted representation. Data Catalog and Master Data Management. Early on, analysts used data catalogs to find and understand data more quickly. Downstream consumers. MDM Build Objects.

Management 52

Management Data Quality Metadata Testing 52

TDAN

APRIL 3, 2024

Instead of a friend, I will refer to friends as data stewards. You’ve probably heard the expression, “A friend in need is a friend indeed.” For this column, I am going to play with that expression to make a point. Instead of indeed (meaning certainly), I am going to insert a space in the word […]

Data Governance 52

Data Governance Metadata Management 52

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 provides information about and context for your company’s data.

Metadata 52

Metadata Enterprise Structured Data Business Intelligence 52

Alation

FEBRUARY 13, 2020

To draw up the ShortList, Constellation Research’s Vice President and Principal Analyst Doug Henschen evaluated more than a dozen of the industry’s best data cataloging solutions, judging companies based on a combination of client inquiries, partner conversations, customer references, vendor selection projects, market share and internal research.

Machine Learning 52

Machine Learning Big Data Data Governance Digital Transformation 52

Andrew White

JULY 5, 2023

Why some part of the market started to use “metrics store” and another part went with “data catalog” or “analytics catalog” is beyond me. What this vendor called “a data catalog for data governance” during today’s briefing was really speaking and selling to the D&A governance use case.

Metrics 52

Metrics Metadata Modeling Data Quality 52

Ontotext

APRIL 21, 2021

Inventory here refers to the vast amounts of information and data that financial institutions need on a daily basis, which are core assets to the business. The problem was the left hand had no way of knowing the systemic issues around data governance, risk management and compliance framework. Conclusion.

Metadata 59

Metadata Finance Cost-Benefit Risk 59

AWS Big Data

APRIL 19, 2023

Encounter 4 appears to refer to the customer with ID 8, but the email doesn’t match, and no Customer_ID is given. We took this a step further by creating a blueprint to create smart recommendations by linking similar data products using graph technology and ML. Mike is the author of two books and numerous articles.

Technology 80

Technology Data-driven Machine Learning Sales 80

AWS Big Data

SEPTEMBER 25, 2023

For additional information, refer to Implementing automatic WLM. For additional information, refer to Tutorial: Configuring manual workload management (WLM) queues. WLM queues from a metadata perspective are defined as service class configuration. The following table lists common service class identifiers for your reference.

Management 93

Management Data Warehouse Metrics Dashboards 93

Alation

NOVEMBER 4, 2021

The practitioner asked me to add something to a presentation for his organization: the value of data governance for things other than data compliance and data security. Now to be honest, I immediately jumped onto data quality. Data quality is a very typical use case for data governance.

Data Governance 94

Data Governance Metadata Data Quality Enterprise 94

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. Cataloging both data and queries provides insight into.

Metadata 52

Metadata Enterprise Data Processing Data Architecture 52

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

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