Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Reporting Reporting contains the flattest and most cleaned version of our data.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

AUGUST 15, 2024

To learn more, see Amazon DataZone now integrates with AWS Glue Data Quality and external data quality solutions. In this post, we show how to capture the data quality metrics for data assets produced in Amazon Redshift. Amazon DataZone natively supports data sharing for Amazon Redshift data assets.

Data Quality 111

Data Quality Visualization Metadata Key Performance Indicator 111

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. Complete the implementation tasks such as data ingestion and performance testing.

Testing 111

Testing Data Warehouse Metrics Cost-Benefit 111

AWS Big Data

DECEMBER 21, 2023

For the downstream consumption by all departments across the organization, smava’s Data Platform team prepares curated data products following the extract, load, and transform (ELT) pattern. Future vision For the future, smava plans to continue to optimize the Data Platform based on operational metrics.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

AWS Big Data

MARCH 25, 2024

Stream processing, however, can enable the chatbot to access real-time data and adapt to changes in availability and price, providing the best guidance to the customer and enhancing the customer experience. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator.

Data Lake 122

Data Lake Unstructured Data Management Snapshot 122

AWS Big Data

NOVEMBER 9, 2023

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. Use case The Enterprise Data Analytics group of a large jewelry retailer embarked on their cloud journey with AWS in 2021. Third-party APIs – These provide analytics and survey data related to ecommerce websites.

Data Warehouse 126

Data Warehouse Testing Data Quality Reporting 126

IBM Big Data Hub

NOVEMBER 29, 2023

Furthermore, AI algorithms’ capacity for recognizing patterns—by learning from your company’s unique historical data—can empower businesses to predict new trends and spot anomalies sooner and with low latency.

Unstructured Data 84

Unstructured Data Data-driven ROI Machine Learning 84

AWS Big Data

MARCH 26, 2024

The following figure shows some of the metrics derived from the study. With this capability, you can design reports for different levels catering to varying needs: executive reports offering strategic overviews, management reports highlighting operational metrics, and detailed reports diving into the specifics.

Data Strategy 105

Data Strategy Strategy Data Warehouse Prescriptive Analytics 105

AWS Big Data

FEBRUARY 26, 2025

In this post, we walk you through the top analytics announcements from re:Invent 2024 and explore how these innovations can help you unlock the full potential of your data. It enables in-order reads during stream scale-up or scale-down, supports Flinks native watermarking, and improves observability through unified connector metrics.

Analytics 65

Analytics Data Lake Metadata Data Warehouse 65

Ontotext

JUNE 22, 2023

All derived facts can be further put into context with structured data, which improves data quality and presents researchers with clear evidence and provenance for all insights Then, Ontotext’s Target Discovery provides deeper insights into the data stored in this highly-interlinked knowledge graph, where long sequences of relations can be mined.

Metrics 52

Metrics Statistics Visualization Data-driven 52

CIO Business Intelligence

JUNE 14, 2023

In the case of intelligent operations, real-time data informs immediate operational decisions. An airline carrier needs to know how many gates are open and how many passengers are on each plane – metrics that change from moment to moment. Consider data types.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

AWS Big Data

JANUARY 22, 2024

The success of the implementation meant assessing various aspects of the data infrastructure, data management, and business outcomes. 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.

Data-driven 118

Data-driven Advertising Metadata Data Architecture 118

AWS Big Data

FEBRUARY 22, 2023

Data analytic challenges As an ecommerce company, Ruparupa produces a lot of data from their ecommerce website, their inventory systems, and distribution and finance applications. The data can be structured data from existing systems, and can also be unstructured or semi-structured data from their customer interactions.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

Alation

JULY 19, 2022

As they attempt to put machine learning models into production, data science teams encounter many of the same hurdles that plagued data analytics teams in years past: Finding trusted, valuable data is time-consuming. Obstacles, such as user roles, permissions, and approval request prevent speedy data access.

Metadata 59

Metadata Data Quality Statistics Data Science 59

AWS Big Data

JULY 12, 2023

Amazon Redshift delivers up to five times better price performance than other cloud data warehouses out of the box and helps you keep costs predictable. Introduction to dbt dbt is a SQL-based transformation workflow that is rapidly emerging as the go-to standard for data analytics teams.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

Cloudera

JANUARY 11, 2018

Cloudera often partners with these companies to define the desired path, set reasonable milestones and success metrics, and aide solution design. Data Warehouses and data virtualization may offer some remedy but as it is pointed out in the research…. This can be frustrating and impede even aggressive initiatives.

Strategy 40

Strategy Data Warehouse Cost-Benefit Marketing 40

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Life insurance needs accurate data on consumer health, age and other metrics of risk.

Insurance 150

Insurance Risk IoT Data-driven 150

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

AWS Big Data

DECEMBER 17, 2024

DeNA selected Redshift Serverless, primarily due to its serverless nature, optimal cost-performance, and the superior processing performance for structured data typical of a data warehouse service. DeNA used metric filters to convert the logs into CloudWatch metrics , then created alarms based on these metrics.

Data Quality 95

Data Quality Testing Metrics Optimization 95

AWS Big Data

OCTOBER 25, 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. FROM lineitem JOIN orders ON l_orderkey = o_orderkey JOIN customer ON. WHERE l_shipdate >= current_date - $1 AND.

Statistics 110

Statistics Data Warehouse Metadata Data Lake 110

AWS Big Data

DECEMBER 19, 2024

Data lakes were originally designed to store large volumes of raw, unstructured, or semi-structured data at a low cost, primarily serving big data and analytics use cases. This comparison will help guide you in making informed decisions on enhancing your data lake environments. Angel Conde Manjon is a Sr.

Data Lake 98

Data Lake IoT Metadata Testing 98

AWS Big Data

FEBRUARY 25, 2025

Based on the configuration file, the input data is fetched and technical validations are applied. If data mapping has been enabled within the data processing job, then the structured data is prepared based on the given schema.

Data Processing 62

Data Processing Machine Learning Data-driven Cost-Benefit 62