Anmut

OCTOBER 29, 2020

WHO has set out the rationale behind the collection of COVID-19 data – ‘Obtaining timely, accurate and complete weekly mortality statistics will help show the impact of COVID-19 on overall mortality across countries. […] Additionally, this will help monitor the impact of interventions.’

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon.

Management 333

Management Machine Learning Experimentation Metrics 333

AWS Big Data

JUNE 15, 2023

Queries can be written to intersect and analyze data sources using common metadata elements (for example, geography, shared identifiers, or other demographic factors), generating row-level lists of the overlap between the data sources or aggregated counts by population, condition, or other strata.

Metadata 90

Metadata Dashboards Risk Statistics 90

Analytics Vidhya

SEPTEMBER 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Conventionally, an automatic speech recognition (ASR) system leverages a single statistical language model to rectify ambiguities, regardless of context. However, we can improve the system’s accuracy by leveraging contextual information.

Metadata 393

Metadata Statistics Data Science Publishing 393

datapine

SEPTEMBER 29, 2022

It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. According to recent information published by Gartner, poor data quality costs businesses an average of $12.9 Metadata management: Good data quality control starts with metadata management.

Data Quality 241

Data Quality Metrics Data-driven Management 241

O'Reilly on Data

FEBRUARY 11, 2020

Just 20% of organizations publish data provenance and data lineage. These include the basics, such as metadata creation and management, data provenance, data lineage, and other essentials. They’re still struggling with the basics: tagging and labeling data, creating (and managing) metadata, managing unstructured data, etc.

Data Quality 305

Data Quality Metadata Data Governance Publishing 305

Cloudera

FEBRUARY 9, 2021

From the data ingestion perspective, in the CDP datahub cluster, a NiFi collecting dataflow is designed to continuously collect and process source streaming data then publish it into a Kafka topic in real-time. Avro Schema without Kafka Metadata Example. {. Avro Schema with Kafka Metadata Example.

Data Warehouse 72

Data Warehouse Cost-Benefit Metadata Management 72

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.

Metadata 56

Metadata Data Quality Machine Learning Statistics 56

Ontotext

JULY 11, 2019

It provides the core infrastructure for solutions where modelling agility, data integration, relationship exploration, cross-enterprise data publishing and consumption are critical. . The difference between statistical semantic similarity and a full text search is easily explained by using the Term to Term search that returns similar terms.

Statistics 40

Statistics Modeling Metadata Enterprise 40

Rita Sallam

JULY 22, 2016

By contrast, traditional BI platforms are designed to support modular development of IT-produced analytic content, specialized tools and skills, and significant upfront data modeling, coupled with a predefined metadata layer, is required to access their analytic capabilities.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

DataKitchen

OCTOBER 11, 2021

The automated orchestration published the data to an AWS S3 Data Lake. Statistical Process Control – applies statistical methods to control a process. The same code we wrote to move data from S3 to RedShift or SFTP to S3 or to publish a Tableau workbook can be used across teams, projects and environments.

Testing 152

Testing Metadata Dashboards Statistics 152

AWS Big Data

SEPTEMBER 13, 2023

AWS has invested in native service integration with Apache Hudi and published technical contents to enable you to use Apache Hudi with AWS Glue (for example, refer to Introducing native support for Apache Hudi, Delta Lake, and Apache Iceberg on AWS Glue for Apache Spark, Part 1: Getting Started ).

Data Lake 91

Data Lake Data Processing Metadata Snapshot 91

AWS Big Data

APRIL 12, 2023

It is not comparable to other published TPC-DS benchmark results. Metadata store – We use Spark’s in-memory data catalog to store metadata for TPC-DS databases and tables— spark.sql.catalogImplementation is set to the default value in-memory. No statistics are pre-calculated for these tables. Hardware: Compute – 6 X c5d.9xlarge

Testing 75

Testing Big Data Metadata Optimization 75

Domino Data Lab

JULY 21, 2019

I’m at NYU, as you can tell by my strong New York accent, and I’ve spent most of my career working with federal statistical agencies, the agencies that bring you the Decennial Census, the unemployment rate, GDP, and so on. A statistical agency collected it, curated it, documented it, sent it out. Let me tell you the story.

Metadata 65

Metadata Statistics Risk Machine Learning 65

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. It was also the year, 2001, when “ Agile Manifesto ” was published. Tukey did this paper. It’s a great read.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

AUGUST 8, 2019

Rather than publish an agenda as most technology conferences do, why not let people mingle, discuss, and propose topics and possible sessions? The gist is, leveraging metadata about research datasets, projects, publications, etc., People consider the experience intense, unexpected, and life-changing.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

CIO Business Intelligence

APRIL 7, 2022

By analyzing messaging metadata, “not the messages themselves,” he says, “we can now statistically prove that certain types of communication behavior directly correlate to business performance.”. “The results have been well beyond what you would expect.”. Some problems may be too big for AI to fix.

Consulting 145

Consulting Management Interactive Metadata 145

CIO Business Intelligence

SEPTEMBER 22, 2023

These sources include ad marketplaces that dump statistics about audience engagement and click-through rates, sales software systems that report on customer purchases, and websites — and even storeroom floors — that track engagement. Along the way, metadata is collected, organized, and maintained to help debug and ensure data integrity.

Management 105

Management Advertising Data Lake Sales 105

erwin

APRIL 21, 2020

It organizes them into a simple, easy- to-digest format and then publishes them to data communities for knowledge-sharing and collaboration. The World Bank has been able to provide an array of real-time data, statistical indicators, and other types of data relevant to the coronavirus pandemic through its authoritative data catalogs.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

It organizes them into a simple, easy- to-digest format and then publishes them to data communities for knowledge-sharing and collaboration. The World Bank has been able to provide an array of real-time data, statistical indicators, and other types of data relevant to the coronavirus pandemic through its authoritative data catalogs.

Measurement 96

Measurement Sales Data Governance Metadata 96

CIO Business Intelligence

JUNE 9, 2022

Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics. Its platform supports both publishers and advertisers so both can understand which creative work delivers the best results. Roku OneView.

Management 144

Management Advertising Data Lake Sales 144

O'Reilly on Data

MARCH 20, 2019

Along with model documentation, all modeling artifacts, source code, and associated metadata need to be managed, versioned, and audited for security like the valuable commercial assets they are. (While not always directly related to security, my opinion is that models should also be evaluated for disparate impact in real time as well.)

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

Andrew White

JANUARY 9, 2022

I try to relate as much published research as I can in the time available to draft a response. We will publish a new Top Trends for D&A for 2022 in a couple of months. This was not statistic and we have not really explored this in any greater detail since. I hope they are helpful. Keep a watch on Gartner.com.

Analytics 64

Analytics Measurement Modeling Data-driven 64

AWS Big Data

JANUARY 18, 2024

The publishing and subscription workflows of DataZone enhance collaboration between various roles in your organization and speed up the time to derive business insights from your data. You can enhance the technical metadata of the Data Catalog using AI-powered assistants into business metadata of DataZone, making it more easily discoverable.

Data Lake 90

Data Lake Metadata Data Governance Statistics 90

Andrew White

JANUARY 11, 2021

Gartner also published the same piece of research for other roles, such as Application and Software Engineering. We publish research for small organizations, not just larger organizations. We cannot of course forget metadata management tools, of which there are many different. We have published some case studies.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Advanced Analytics Some apps provide a unique value proposition through the development of advanced (and often proprietary) statistical models. Advanced Analytics Provide the unique benefit of advanced (and often proprietary) statistical models in your app. Some cloud applications can even provide new benchmarks based on customer data.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52