AWS Big Data

JANUARY 15, 2025

This agility accelerates EUROGATEs insight generation, keeping decision-making aligned with current data. Additionally, daily ETL transformations through AWS Glue ensure high-quality, structured data for ML, enabling efficient model training and predictive analytics.

IoT 100

IoT Machine Learning Metadata Data-driven 100

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 98

Enterprise Cost-Benefit Structured Data Data-driven 98

AWS Big Data

FEBRUARY 29, 2024

First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses. Grant the user role permissions for sensitive information and compliance policies.

Data Governance 109

Data Governance Unstructured Data Metadata Data Lake 109

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 138

Enterprise Marketing Measurement Reporting 138

Cloudera

NOVEMBER 15, 2021

In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. prejudiced scoring, ranking, interview-data or evaluation) are not biased. .

Unstructured Data 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90

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 122

Advertising Interactive Marketing Structured Data 122

Smart Data Collective

JULY 1, 2023

The resulting structured data is then used to train a machine learning algorithm. Cohen’s Kappa) to measure inter-annotator agreement. Establish metrics for review Create specific metrics for measuring annotation quality and use them to evaluate both individual annotators and the overall annotation process.

Machine Learning 93

Machine Learning Metrics Uncertainty Deep Learning 93

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

datapine

MAY 27, 2020

It is possible to structure data across a broad range of spreadsheets, but the final result can be more confusing than productive. By using an online dashboard , you will be able to gain access to dynamic metrics and data in a way that’s digestible, actionable, and accurate.

Reporting 245

Reporting Analytics Dashboards Sales 245

DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure.

Data Quality 117

Data Quality Unstructured Data Testing Data-driven 117

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 92

Dashboards Visualization Machine Learning Data Science 92

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 99

Data Warehouse Data Lake Cost-Benefit Structured Data 99

IBM Big Data Hub

MARCH 29, 2024

Enterprise applications serve as repositories for extensive data models, encompassing historical and operational data in diverse databases. Generative AI foundational models train on massive amounts of unstructured and structured data, but the orchestration is critical to success.

Management 81

Management Structured Data Modeling Data Governance 81

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

Cloudera

MAY 23, 2024

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes.

Management 80

Management Metrics Data Processing Data Lake 80

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 78

Analytics Data Warehouse Data Lake Metadata 78

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

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 98

Data Lake Software Data Processing Structured Data 98

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

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

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

Sisense

JULY 23, 2021

“We’ve had a growing realization that we need to measure the Games more precisely so that we can manage it more effectively going forward,” Chris says. Our Olympic Games Executive Director Christophe Dubi has a very strong belief in the notion that we can’t properly manage an Olympic event unless we can measure it.”.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

FineReport

FEBRUARY 5, 2020

The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis. It also includes some processed data, such as KPI, personal sales, single product sales and other data.

Metadata 98

Metadata Dashboards Informatics Visualization 98

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 90

Snapshot Metadata Measurement Data Warehouse 90

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

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 78

Management IT Machine Learning Metrics 78

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 104

Data Warehouse Analytics Data Lake Data Science 104

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

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 90

Big Data Software Consulting Unstructured Data 90

AWS Big Data

OCTOBER 1, 2024

Amazon Redshift enables you to efficiently query and retrieve structured and semi-structured data from open format files in Amazon S3 data lake without having to load the data into Amazon Redshift tables. Amazon Redshift extends SQL capabilities to your data lake, enabling you to run analytical queries.

Data Lake 105

Data Lake Statistics Broadcasting Optimization 105

AWS Big Data

APRIL 4, 2024

Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores. You can use simple SQL to analyze structured and semi-structured data, operational databases, and data lakes to deliver the best price/performance at any scale.

Big Data 78

Big Data Data Warehouse Advertising OLAP 78

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 109

Testing Data Warehouse Metrics Cost-Benefit 109

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

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

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 79

Data-driven Enterprise IoT Data Warehouse 79

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 Data Quality Metrics 52

AWS Big Data

JUNE 21, 2023

Nonetheless, many of the same customers using DynamoDB would also like to be able to perform aggregations and ad hoc queries against their data to measure important KPIs that are pertinent to their business. A typical ask for this data may be to identify sales trends as well as sales growth on a yearly, monthly, or even daily basis.

Data Warehouse 90

Data Warehouse Data Lake OLAP Cost-Benefit 90