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. Tags provide metadata about resources at a glance.

Snapshot 98

Snapshot Metadata Measurement Data Warehouse 98

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 90

Data Warehouse Measurement Reporting Testing 90

Ontotext

JANUARY 10, 2024

Limiting growth by (data integration) complexity Most operational IT systems in an enterprise have been developed to serve a single business function and they use the simplest possible model for this. In order to integrate structured data, enterprises need to implement the data fabric pattern.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

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

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. In this approach, teams responsible for generating data are referred to as producers.

Data-driven 118

Data-driven Advertising Metadata Data Architecture 118

AWS Big Data

MARCH 26, 2024

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Then, you transform this data into a concise format. Your analytics strategy applies to the wider organizational needs, not just C360.

Data Strategy 103

Data Strategy Strategy Data Warehouse Prescriptive Analytics 103

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. There are four types of data sources that the team will work with. The first type is metadata from images.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

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

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 64

Unstructured Data IT Manufacturing Visualization 64

AWS Big Data

FEBRUARY 22, 2023

An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data. The AWS Glue job can transform the raw data in Amazon S3 to Parquet format, which is optimized for analytic queries. All the metadata of the tables is stored in the AWS Glue Data Catalog, including the Hudi tables.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

The Unofficial Google Data Science Blog

SEPTEMBER 9, 2015

Sawzall is a programming language developed at Google for performing aggregation over the result of complex operations on structured data. Record-level program scope As a data scientist, you write a Sawzall script to operate at the level of a single record.

Data Science 57

Data Science Statistics Testing Metadata 57

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

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

erwin

MAY 7, 2025

Instead of training the AI on raw hiring data, Amazons team should have carefully curated a diverse, representative dataset to ensure the model wouldnt reinforce past biases. Data governance measures, such as fairness audits and bias detection, should have been implemented early in the model development process.

Data Quality 52

Data Quality Machine Learning Data Governance Metadata 52

AWS Big Data

NOVEMBER 14, 2024

The challenge In the event of a disaster e.g. water flood, there is usually a lack of terrestrial data connectivity that prevents monitoring stations from taking actionable measures in real time. AWS Glue – The AWS Glue Data Catalog is your persistent technical metadata store in the AWS Cloud.

Data Lake 105

Data Lake Metadata Testing Data-driven 105