erwin

JUNE 26, 2020

Data catalogs combine physical system catalogs, critical data elements, and key performance measures with clearly defined product and sales goals in certain circumstances. A data catalog uses metadata, data that describes or summarizes data, to create an informative and searchable inventory of all data assets in an organization.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Data in Amazon S3 can be easily queried in place using SQL with Amazon Redshift Spectrum.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

CIO Business Intelligence

APRIL 14, 2022

Three major companies — Experian , TransUnion , and Equifax — track how all of us borrow and pay back loans in an effort to compute scores that purport to measure how well we can be trusted in the future. Companies with data turn to Snowflake to store and analyze it instead of building their own infrastructure. Credit agencies.

Enterprise 131

Enterprise Marketing Measurement Reporting 131

Cloudera

JUNE 3, 2022

Data scientists are likely to use a variety of different tools to move through their processes. It could be a homespun version of PostgreSQL on their local machine for exploring structured data sets; to visualize, they could be writing code or using a BI tool like Tableau or PowerBI.

Dashboards 94

Dashboards Visualization Machine Learning Data Science 94

IBM Big Data Hub

APRIL 9, 2024

Preparing and annotating data IBM watsonx.data helps organizations put their data to work, curating and preparing data for use in AI models and applications. “Being able to organize the data around that structure helps us to efficiently query, retrieve and use the information downstream, for example for AI narration.”

Management 79

Management IT Machine Learning Metrics 79

Rocket-Powered Data Science

JULY 7, 2019

is also sometimes referred to as IIoT (Industrial Internet of Things) or Smart Manufacturing, because it joins physical production and operations with smart digital technology, Machine Learning, and Big Data to create a more holistic and better connected ecosystem for companies that focus on manufacturing and supply chain management.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. There are four groups of data that are naturally siloed: Structured data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Ontotext

FEBRUARY 14, 2024

How do you measure its utility? If you ask it to generate a response, and maybe it hallucinates, you can then constrain the response it gives you, from the well-curated data in your graph. Data quality Knowledge graphs thrive on clean, well-structured data, and they rely on accurate relationships and meaningful connections.

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

FineReport

MARCH 7, 2024

However, due to regulatory controls on sensitive data like phone numbers and technical challenges in cross-platform integration of Internet and mobile reporting data, our current matching rates are relatively low, reaching around 20% in ideal scenarios, excluding telecom data.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

datapine

AUGUST 20, 2019

Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc. The gigantic evolution of structured, unstructured, and semi-structured data is referred to as Big data.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

Ontotext

MAY 26, 2021

Originally, the Gold Standard was a monetary system that required countries to fix the value of their currencies to a certain amount of gold, aiming to replace the unreliable human control with a fixed measurement that could be used by everyone. Simply put, we need to be able to measure and evaluate our results against clearly set criteria.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

CIO Business Intelligence

MARCH 24, 2023

Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs. Key features include a collaborative business glossary, the ability to visualize data lineage, and generate data quality measurements based on business definitions.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

JULY 19, 2023

We’ve seen that there is a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With this connector, you can bring the data from Google Cloud Storage to Amazon S3.

Big Data 84

Big Data Software Consulting Unstructured Data 84

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. The following diagram illustrates this process.

Testing 100

Testing Data Warehouse Metrics Cost-Benefit 100

Ontotext

NOVEMBER 2, 2023

In spite of all the activity, the data paradigm hasn’t evolved much. Organizations are still managing data using relational technology invented in the 1970’s. While relational databases are the best fit for managing structured data workloads, they are not good for ad hoc inquiry and scenario-based analysis.

IT 69

IT Cost-Benefit Data-driven Technology 69

Cloudera

DECEMBER 15, 2017

A platform that helps companies find patterns and trends in their data by applying machine learning , where business users can analyse not just their structured data in the one or two silos they have access to, but all data relevant to the business problem they are trying to solve. A modern platform based on open source.

Manufacturing 40

Manufacturing IoT Machine Learning Data-driven 40

Ontotext

SEPTEMBER 7, 2023

Then you have to understand where that rivet with its particular measurements fits into that particular part of a building information management system in this particular case. Anybody who is using more than one set of data sources to do anything to serve their end customer could benefit from using knowledge graphs. Doug : Right.

Technology 59

Technology Visualization Digital Transformation Management 59

BizAcuity

MARCH 1, 2019

Data is only useful when it is actionable for which it needs to be supplemented with context and creativity. Traditional methods of analyzing structured data are not designed to efficiently process these large amounts of real-time data that is collected from IoT devices. This is AI/ML aspect of the work.

IoT 56

IoT Internet of Things Big Data Data-driven 56

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Solution overview Amazon Redshift is an industry-leading cloud data warehouse.

Data Warehouse 86

Data Warehouse Data Lake Cost-Benefit Structured Data 86

CIO Business Intelligence

MAY 24, 2022

Measure, adjust and optimise. To accurately assess performance and get an accurate picture at each stage of migration there needs to be a well-thought-out list of measurements with clear goals to meet. The Cloudera Data Platform (CDP) offers a three-step approach that reduces the complexities of creating an enterprise data cloud.

Enterprise 90

Enterprise Cost-Benefit Structured Data Data-driven 90

Alation

MAY 16, 2023

Data Storage The data storage component of a pipeline provides secure, scalable storage for the data. Various data storage methods are available, including data warehouses for structured data or data lakes for unstructured, semi-structured, and structured data.

Data Lake 69

Data Lake Data Governance Data Warehouse Data Processing 69

AWS Big Data

JULY 28, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. It is designed for analyzing large volumes of data and performing complex queries on structured and semi-structured data. The AWS DPA is incorporated into the AWS Service Terms.

Snapshot 84

Snapshot Metadata Measurement Data Warehouse 84

Cloudera

MAY 17, 2021

Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform. When you migrate to the cloud, you want to gain agility through real measurable improvements in your analytics development projects .

Data Warehouse 91

Data Warehouse Measurement Reporting Testing 91

Alation

MAY 16, 2023

Data Storage The data storage component of a pipeline provides secure, scalable storage for the data. Various data storage methods are available, including data warehouses for structured data or data lakes for unstructured, semi-structured, and structured data.

Data Lake 40

Data Lake Data Governance Data Warehouse Data Processing 40

CIO Business Intelligence

MAY 10, 2022

Customer data platform defined. A customer data platform (CDP) is a prepackaged, unified customer database that pulls data from multiple sources to create customer profiles of structured data available to other marketing systems. Customer data platform vs. CRM.

Advertising 107

Advertising Interactive Marketing Data Integration 107

CIO Business Intelligence

JULY 29, 2022

Zarraga, who had a clear picture of Capital Group’s commitment to its employees as early as her interview process before joining the firm, attributes Capital Group’s success with employee satisfaction in significant measure to its focus on career growth. Investing in future leaders.

Data Lake 88

Data Lake Software Data Processing Structured Data 88

Alation

OCTOBER 28, 2021

Storing the same data in multiple places can lead to: Human error: mistakes when transcribing data reduce its quality and integrity. Multiple data structures: different departments use distinct technologies and data structures. Data governance is the solution to these challenges.

Data Governance 52

Data Governance Measurement Metrics Data Quality 52

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse.

Data Warehouse 93

Data Warehouse Data Lake Analytics Data Science 93

Ontotext

FEBRUARY 26, 2024

RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. Quality assurance process, covering gold standard creation , extraction quality monitoring, measurement, and reporting via Ontotext Metadata Studio.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Ontotext

JANUARY 10, 2024

This will allow enterprises to derive insights from their disparate databases, integrate external knowledge for better interpretation of their data, and incorporate information extracted from unstructured content. In order to integrate structured data, enterprises need to implement the data fabric pattern.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

AWS Big Data

JANUARY 22, 2024

They classified the metrics and indicators in the following categories: Data usage – A clear understanding of who is consuming what data source, materialized with a mapping of consumers and producers. Through the lenses of the tool, Acast was able to address better monitoring, cost optimization , performance, and security.

Data-driven 86

Data-driven Advertising Metadata Data Architecture 86

Cloudera

OCTOBER 17, 2023

Streaming maturity is not about simply streaming more data; it’s about weaving streaming data more deeply into operations to drive real-time utilization across the enterprise. The number of use cases supported by a single Kafka topic is a better indicator than a raw measure of volume like events per second.

Data-driven 81

Data-driven Enterprise IoT Data Warehouse 81

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

JUNE 14, 2023

This can be achieved by utilizing dense storage nodes and implementing fault tolerance and resiliency measures for managing such a large amount of data. Consider data types. How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Focus on scalability.

Unstructured Data 62

Unstructured Data IT Manufacturing Visualization 62

FineReport

APRIL 11, 2023

Free Download of FineReport Benefits and limitations of Business Intelligence Dashboard (BI Dashboard) BI dashboards have become essential tools for enterprises to extract valuable insights from their expanding data repositories, which often encompass structured, unstructured, and semi-structured data.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

Ontotext

MAY 18, 2020

The capacity and performance of supercomputers is measured with the so-called FLOPS (floating point operations per second). Behind the scenes of linking histopathology data and building a knowledge graph out of it.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72