Analytics Vidhya

DECEMBER 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction In machine learning, the data is an essential part of the training of machine learning algorithms. The amount of data and the data quality highly affect the results from the machine learning algorithms.

Machine Learning 291

Machine Learning Data Quality Data Science Publishing 291

Analytics Vidhya

DECEMBER 28, 2022

This article was published as a part of the Data Science Blogathon. Choosing the best appropriate activation function can help one get better results with even reduced data quality; hence, […].

Deep Learning 277

Deep Learning Data Quality Data Science Publishing 277

CIO Business Intelligence

DECEMBER 11, 2024

If youre not keeping up the fundamentals of data and data management, your ability to adopt AIat whatever stage you are at in your AI journeywill be impacted, Kulkarni points out. Without it, businesses risk perpetuating the very inefficiencies they aim to eliminate, adds Kulkarni.

Risk 111

Risk Data Strategy Strategy Data Governance 111

AWS Big Data

APRIL 3, 2024

Today, we are pleased to announce that Amazon DataZone is now able to present data quality information for data assets. Other organizations monitor the quality of their data through third-party solutions. Additionally, Amazon DataZone now offers APIs for importing data quality scores from external systems.

Data Quality 103

Data Quality Visualization Metadata Metrics 103

AWS Big Data

AUGUST 15, 2024

Data quality is crucial in data pipelines because it directly impacts the validity of the business insights derived from the data. Today, many organizations use AWS Glue Data Quality to define and enforce data quality rules on their data at rest and in transit.

Data Quality 106

Data Quality Visualization Metadata Key Performance Indicator 106

AWS Big Data

OCTOBER 10, 2023

Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake. Data confidentiality and data quality are the two essential themes for data governance.

Data Quality 103

Data Quality Data Governance Data Lake Testing 103

O'Reilly on Data

JUNE 18, 2019

As model building become easier, the problem of high-quality data becomes more evident than ever. Even with advances in building robust models, the reality is that noisy data and incomplete data remain the biggest hurdles to effective end-to-end solutions. Data integration and cleaning.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

AWS Big Data

DECEMBER 4, 2024

Data teams struggle to find a unified approach that enables effortless discovery, understanding, and assurance of data quality and security across various sources. Collaboration is seamless, with straightforward publishing and subscribing workflows, fostering a more connected and efficient work environment.

Data Analytics 85

Data Analytics Analytics Data Lake Data Quality 85

AWS Big Data

DECEMBER 4, 2024

Domain ownership recognizes that the teams generating the data have the deepest understanding of it and are therefore best suited to manage, govern, and share it effectively. This principle makes sure data accountability remains close to the source, fostering higher data quality and relevance.

Metadata 93

Metadata Data Governance Data Quality Data-driven 93

AWS Big Data

JUNE 6, 2023

Data consumers lose trust in data if it isn’t accurate and recent, making data quality essential for undertaking optimal and correct decisions. Evaluation of the accuracy and freshness of data is a common task for engineers. Currently, various tools are available to evaluate data quality.

Data Quality 82

Data Quality Data-driven Data Lake Metrics 82

AWS Big Data

JUNE 6, 2023

Poor-quality data can lead to incorrect insights, bad decisions, and lost opportunities. AWS Glue Data Quality measures and monitors the quality of your dataset. It supports both data quality at rest and data quality in AWS Glue extract, transform, and load (ETL) pipelines.

Data Quality 75

Data Quality Data Lake Visualization Data-driven 75

AWS Big Data

JANUARY 15, 2025

Plug-and-play integration : A seamless, plug-and-play integration between data producers and consumers should facilitate rapid use of new data sets and enable quick proof of concepts, such as in the data science teams. As part of the required data, CHE data is shared using Amazon DataZone.

IoT 100

IoT Machine Learning Metadata Data-driven 100

O'Reilly on Data

JULY 15, 2019

Regulators behind SR 11-7 also emphasize the importance of data—specifically data quality , relevance , and documentation. While models garner the most press coverage, the reality is that data remains the main bottleneck in most ML projects. Health care is another highly regulated industry that AI is rapidly changing.

Machine Learning 51

Machine Learning Management Enterprise Risk Management 51

David Menninger's Analyst Perspectives

OCTOBER 8, 2024

Collibra was founded in 2008 by Chief Executive Officer Felix Van de Maele and Chief Data Citizen Stijn Christiaens. Self-service access to data is only truly valuable if users can trust the data they have access to, however. Regards, Matt Aslett

Data Quality 130

Data Quality Data Governance Enterprise Visualization 130

CIO Business Intelligence

NOVEMBER 14, 2024

Emmelibri Group, a subsidy of Italian publishing holding company Messaggerie Italiane, is moving applications to the cloud as part of a complete digital transformation with a centralized IT department. Data is the heart of our business, and its centralization has been fundamental for the group,” says Emmelibri CIO Luca Paleari.

ROI 119

ROI B2B Business Objectives Digital Transformation 119

CIO Business Intelligence

NOVEMBER 11, 2024

Mohanasevlan Jeyapalan, Senior VP, PMO at Expo City Dubai, commented on the evolution of cybersecurity from being a technical concern to a priority for board members, emphasizing that data quality is a risk that now demands executive-level attention.

Risk Management 59

Risk Management Risk Management Data-driven 59

AWS Big Data

MAY 1, 2024

For those reasons, it was extremely difficult for Fujitsu to manage and utilize data at scale with Excel. Solution overview OneData defines three personas: Publisher – This role includes the organizational and management team of systems that serve as data sources. It is crucial in data governance and data management.

Dashboards 122

Dashboards Publishing Data-driven Cost-Benefit 122

Smart Data Collective

APRIL 5, 2022

Here at Smart Data Collective, we never cease to be amazed about the advances in data analytics. We have been publishing content on data analytics since 2008, but surprising new discoveries in big data are still made every year. One of the biggest trends shaping the future of data analytics is drone surveying.

Data Collection 128

Data Collection Data Quality Big Data Data-driven 128

datapine

SEPTEMBER 27, 2022

Our next book is dedicated to anyone who wants to start a career as a data scientist and is looking to get all the knowledge and skills in a way that is accessible and well-structured. Originally published in 2018, the book has a second edition that was released in January of 2022. 4) “SQL Performance Explained” by Markus Winand.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

AWS Big Data

DECEMBER 19, 2024

Data has become an invaluable asset for businesses, offering critical insights to drive strategic decision-making and operational optimization. The prod-hema-data-catalog is the production-grade catalog that supports data sharing across production services and, in some cases, pre-production services.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

erwin

MARCH 30, 2020

As a result, the data may be compromised, rendering faulty analyses and insights. 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.

Metadata 122

Metadata IT Data Governance Data Quality 122

DataKitchen

OCTOBER 11, 2021

Figure 2: Example data pipeline with DataOps automation. In this project, I automated data extraction from SFTP, the public websites, and the email attachments. The automated orchestration published the data to an AWS S3 Data Lake. All the code, Talend job, and the BI report are version controlled using Git.

Testing 152

Testing Metadata Dashboards Statistics 152

AWS Big Data

SEPTEMBER 11, 2024

This also includes building an industry standard integrated data repository as a single source of truth, operational reporting through real time metrics, data quality monitoring, 24/7 helpdesk, and revenue forecasting through financial projections and supply availability projections.

Data Architecture 96

Data Architecture Optimization Data Warehouse Metadata 96

Smarten

DECEMBER 17, 2024

According to a recent TechJury survey: Data analytics makes decision-making 5x faster for businesses. The top three business intelligence trends are data visualization, data quality management, and self-service business intelligence (BI). 7 out of 10 business rate data discovery as very important.

Reporting 52

Reporting Key Performance Indicator KPI Business Intelligence 52

Octopai

OCTOBER 26, 2022

DataOps is an approach to best practices for data management that increases the quantity of data analytics products a data team can develop and deploy in a given time while drastically improving the level of data quality. Did you just have a spectacular new idea for a data analytics product?

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

DataKitchen

APRIL 26, 2021

At Workiva, they recognized that they are only as good as their data, so they centered their initial DataOps efforts around lowering errors. Hodges commented, “Our first focus was to up our game around data quality and lowering errors in production. Organizations should be optimizing and driving their data teams with data.” .

Measurement 246

Measurement Metrics Data-driven Dashboards 246

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

Cloudera

MARCH 3, 2022

The medical insurance company wasn’t hacked, but its customers’ data was compromised through a third-party vendor’s employee. In the 2020 O’Reilly Data Quality survey only 20% of respondents say their organizations publish information about data provenance or data lineage internally.

Data Governance 100

Data Governance Enterprise Data Quality Metadata 100

AWS Big Data

JULY 25, 2024

Instead of a central data platform team with a data warehouse or data lake serving as the clearinghouse of all data across the company, a data mesh architecture encourages distributed ownership of data by data producers who publish and curate their data as products, which can then be discovered, requested, and used by data consumers.

Data Lake 105

Data Lake Metadata Sales Publishing 105

erwin

JULY 12, 2019

It also helps enterprises put these strategic capabilities into action by: Understanding their business, technology and data architectures and their inter-relationships, aligning them with their goals and defining the people, processes and technologies required to achieve compliance.

Data Governance 110

Data Governance Management Metadata Risk Management 110

AWS Big Data

DECEMBER 4, 2024

It’s the preferred choice when customers need more control and customization over the data integration process or require complex transformations. This flexibility makes Glue ETL suitable for scenarios where data must be transformed or enriched before analysis. The status and statistics of the CDC load are published into CloudWatch.

Data Integration 97

Data Integration Data Lake Statistics Data-driven 97

IBM Big Data Hub

MARCH 25, 2022

Automated data enrichment : To create the knowledge catalog, you need automated data stewardship services. These services include the ability to auto-discover and classify data, to detect sensitive information, to analyze data quality, to link business terms to technical metadata and to publish data to the knowledge catalog.

Metadata 104

Metadata Data Quality Data Governance Data Integration 104

O'Reilly on Data

MARCH 31, 2020

You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon. It may even be faster to launch this new recommender system, because the Disney data team has access to published research describing what worked for other teams.

Management 363

Management Machine Learning Experimentation Metrics 363

CIO Business Intelligence

MAY 24, 2023

The first published data governance framework was the work of Gwen Thomas, who founded the Data Governance Institute (DGI) and put her opus online in 2003. They already had a technical plan in place, and I helped them find the right size and structure of an accompanying data governance program.

Data Governance 118

Data Governance Data Quality Data Collection Publishing 118

TDAN

NOVEMBER 20, 2024

In my last article, “The Shift from Syntactic to Semantic Data Curation and What It Means for Data Quality” published in the August 2024 issue of this newsletter, I argued how the adoption of generative AI will change the focus and scope of data quality management (DQM).

Data Quality 52

Data Quality Measurement Publishing Management 52

CIO Business Intelligence

SEPTEMBER 1, 2023

Sun has a PhD from MIT and continued to publish academic research papers during his time at Microsoft, in addition to teaching at Seattle and Washington universities. SAP has appointed a new global head of artificial intelligence, Walter Sun, after the previous post-holder quit to found her own AI startup.

IT 105

IT Forecasting Reporting Data Quality 105

CIO Business Intelligence

JUNE 2, 2022

It’s sort of like teaching a child to identify different animals: this is a rabbit, this is a donkey and so on,” King said, in a published interview. “If Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

Machine Learning 142

Machine Learning Deep Learning Data Quality Strategy 142