AWS Big Data

JANUARY 18, 2024

AWS Lake Formation and the AWS Glue Data Catalog form an integral part of a data governance solution for data lakes built on Amazon Simple Storage Service (Amazon S3) with multiple AWS analytics services integrating with them. DataZone automatically manages the permissions of your shared data in the DataZone projects.

Data Lake 104

Data Lake Metadata Data Governance Statistics 104

AWS Big Data

FEBRUARY 26, 2025

S3 Tables integration with the AWS Glue Data Catalog is in preview, allowing you to stream, query, and visualize dataincluding Amazon S3 Metadata tablesusing AWS analytics services such as Amazon Data Firehose , Amazon Athena , Amazon Redshift, Amazon EMR, and Amazon QuickSight. With AWS Glue 5.0,

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

IBM Big Data Hub

NOVEMBER 28, 2022

Metadata management performs a critical role within the modern data management stack. It helps blur data silos, and empowers data and analytics teams to better understand the context and quality of data. This, in turn, builds trust in data and the decision-making to follow. Improve data discovery.

Metadata 56

Metadata Data Quality Data-driven Data Governance 56

erwin

APRIL 29, 2020

The CEO also makes decisions based on performance and growth statistics. An understanding of the data’s origins and history helps answer questions about the origin of data in a Key Performance Indicator (KPI) reports, including: How the report tables and columns are defined in the metadata? Who are the data owners?

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

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. Are data architects in demand?

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

IBM Big Data Hub

JULY 28, 2022

Metadata enrichment is about scaling the onboarding of new data into a governed data landscape by taking data and applying the appropriate business terms, data classes and quality assessments so it can be discovered, governed and utilized effectively. Scalability and elasticity.

Metadata 56

Metadata Machine Learning Data Quality Statistics 56

Alation

APRIL 25, 2023

Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

AWS Big Data

JUNE 9, 2023

Data in customers’ data lakes is used to fulfil a multitude of use cases, from real-time fraud detection for financial services companies, inventory and real-time marketing campaigns for retailers, or flight and hotel room availability for the hospitality industry.

Data Lake 125

Data Lake Metadata Statistics Optimization 125

datapine

SEPTEMBER 29, 2022

This person (or group of individuals) ensures that the theory behind data quality is communicated to the development team. 2 – Data profiling. Data profiling is an essential process in the DQM lifecycle. Data monitoring and visualization: To be able to assess the quality of the data it is necessary to monitor it closely.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Octopai

JUNE 27, 2022

Work out your organization’s list of needs, sort them in order of priority, and use that as the basis for evaluating data catalog candidates. Manually updating the catalog every time a data asset changes is a Sisyphean task, and you’d require an army of Sisyphuses to even attempt it.

Management 99

Management Metadata Visualization Data Governance 99

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 97

Metadata Sales Statistics Management 97

Cloudera

DECEMBER 20, 2021

Understanding that the future of banking is data-driven and cloud-based, Bank of the West embraced cloud computing and its benefits, like remote capabilities, integrated processes, and flexible systems. The platform is centralizing the data, data management & governance, and building custom controls for data ingestion into the system.

Metadata 91

Metadata Data-driven Cost-Benefit Digital Transformation 91

Octopai

OCTOBER 6, 2019

– Visualizing your data landscape: By slicing and dicing the data landscape in different ways, what connections, relationships, and outliers can be found? – Analyzing the data: Using statistical methods, what insights can be gained by summarizing the data? What hidden trends can be identified?

Slice and Dice 72

Slice and Dice Metadata Visualization Data Governance 72

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. If you want more control over and more value from all your data, join us for a demo of erwin MM.

Data Governance 40

Data Governance Risk Metadata Management 40

Alation

APRIL 25, 2023

Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

IBM Big Data Hub

NOVEMBER 4, 2022

Data observability capability makes data quality checks upstream possible. Data Governance. Ensuring data quality is critical for data governance initiatives. IBM’s holistic approach to Data Quality.

Data Quality 56

Data Quality Metadata Data Governance Data-driven 56

IBM Big Data Hub

JULY 6, 2022

To help companies avoid that pitfall, IBM has recently announced the acquisition of Databand.ai, a leading provider of data observability solutions. The data observability difference . starts at the data source, collecting data pipeline metadata across key solutions in the modern data stack like Airflow, dbt, Databricks and many more.

Metadata 56

Metadata Data Quality Snapshot Cost-Benefit 56

Alation

APRIL 18, 2023

On the contrary, data profiling today describes an automated process, where a data user can “point and click” to return key results on a given asset, like aggregate functions, top patterns, outliers, inferred data types, and more. In summary, data profiling is a critical component of a comprehensive data governance strategy.

IT 52

IT Data Quality Metadata Data Governance 52

Alation

SEPTEMBER 1, 2022

By definition, a data intelligence platform must serve a wide variety of user types and use cases – empowering them to collaborate in one shared space. The problem Data Intelligence Platforms solve. Why is a data intelligence platform needed in the first place? Get the new IDC Marketscape for Data Catalogs to learn more.

Reporting 52

Reporting Metadata Data Governance Interactive 52

Domino Data Lab

AUGUST 8, 2019

In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. First and foremost: there’s substantial overlap between what the scientific community is working toward for scholarly infrastructure and some of the current needs of data governance in industry. We did it again.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Alation

JUNE 2, 2022

In part one of this series, I discussed how data management challenges have evolved and how data governance and security have to play in such challenges, with an eye to cloud migration and drift over time. All Machine Learning uses “algorithms,” many of which are no different from those used by statisticians and data scientists.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

IBM Big Data Hub

JANUARY 9, 2024

High variance in a model may indicate the model works with training data but be inadequate for real-world industry use cases. Limited data scope and non-representative answers: When data sources are restrictive, homogeneous or contain mistaken duplicates, statistical errors like sampling bias can skew all results.

Enterprise 71

Enterprise Data Integration Data Quality Contextual Data 71

Alation

JULY 7, 2022

In 2013 I joined American Family Insurance as a metadata analyst. I had always been fascinated by how people find, organize, and access information, so a metadata management role after school was a natural choice. The use cases for metadata are boundless, offering opportunities for innovation in every sector.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Alation

FEBRUARY 20, 2020

The head of sales needs the most up-to-date statistics on the state of the business, and they need it now — well, actually, yesterday. These recommendations organize the data about your data — what the industry for many years has called metadata. Creating a set of custom reports would take too much time.

Analytics 52

Analytics Metadata Dashboards Sales 52

Alation

JANUARY 25, 2022

As a reminder, here’s Gartner’s definition of data fabric: “A design concept that serves as an integrated layer (fabric) of data and connecting processes. In this blog, we will focus on the “integrated layer” part of this definition by examining each of the key layers of a comprehensive data fabric in more detail.

Metadata 52

Metadata IT Data-driven Metrics 52

Octopai

JANUARY 25, 2021

With such sensitive information at risk, the federal government passed the Health Insurance Portability and Accountability Act (HIPAA). This initiative is enforced to set standards for data governance in healthcare and keep medical information safe. million Americans.

Insurance 52

Insurance Metadata Statistics Reporting 52

Cloudera

SEPTEMBER 15, 2022

As shown above, the data fabric provides the data services from the source data through to the delivery of data products, aligning well with the first and second elements of the modern data platform architecture. In June 2022, Barr Moses of Monte Carlo expanded on her initial article defining data observability.

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

TDAN

JANUARY 3, 2024

Edwards Deming, the father of statistical quality control, said: “If you can’t describe what you are doing as a process, you don’t know what you’re doing.” When looking at the world of IT and applied to the dichotomy of software and data, Deming’s quote applies to the software part of that pair.

Statistics 52

Statistics Software Data Quality IT 52

Andrew White

JANUARY 9, 2022

We found anecdotal data that suggested things such as a) CDO’s with a business, more than a technical, background tend to be more effective or successful, and b) CDOs most often came from a business background, and c) those that were successful had a good chance at becoming CEO or CEO or some other CXO (but not really CIO).

Analytics 64

Analytics Measurement Data-driven Modeling 64

Andrew White

JANUARY 11, 2021

But we are seeing increasing data suggesting that broad and bland data literacy programs, for example statistics certifying all employees of a firm, do not actually lead to the desired change. New data suggests that pinpoint or targeted efforts are likely to be more effective. We do have good examples and bad examples.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Octopai

JULY 18, 2019

Add to that the fact that the service providers are typically scrutinized at a highly detailed level by government regulators—so much so that in some countries, the government is the sole service provider. Healthcare and Data Governance. All of the challenges described above, among others, are data problems.

Metadata 67

Metadata Management Data Governance Insurance 67

O'Reilly on Data

JULY 28, 2020

Acquiring data is often difficult, especially in regulated industries. Once relevant data has been obtained, understanding what is valuable and what is simply noise requires statistical and scientific rigor. Garbage in, garbage out” holds true for AI, so good AI PMs must concern themselves with data health.

Marketing 364

Marketing Experimentation Metrics Testing 364

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Anmut

OCTOBER 29, 2020

Data governance - who's counting? The role of data governance. This large gap between reported figures raises tough questions on the reliability of COVID-19 tracking data. In dealing with situations like pandemic data, how important are aspects of data governance such as standardised definitions?

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

erwin

APRIL 21, 2020

Another foundational purpose of a data catalog is to streamline, organize and process the thousands, if not millions, of an organization’s data assets to help consumers/users search for specific datasets and understand metadata , ownership, data lineage and usage.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

Another foundational purpose of a data catalog is to streamline, organize and process the thousands, if not millions, of an organization’s data assets to help consumers/users search for specific datasets and understand metadata , ownership, data lineage and usage.

Measurement 96

Measurement Sales Data Governance Metadata 96

Cloudera

OCTOBER 10, 2024

The open data lakehouse is quickly becoming the standard architecture for unified multifunction analytics on large volumes of data. It combines the flexibility and scalability of data lake storage with the data analytics, data governance, and data management functionality of the data warehouse.

Optimization 84

Optimization Snapshot Data Lake Cost-Benefit 84