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

Ontotext

JUNE 22, 2023

Recent statistics shed light on the realities in the world of current drug development: out of about 10,000 compounds that undergo clinical research, only 1 emerges successfully as an approved drug. The current process involves costly wet lab experiments, which are often performed multiple times to achieve statistically significant results.

Metrics 52

Metrics Statistics Visualization Data-driven 52

Alation

JULY 19, 2022

In this way, a data scientist benefits from business knowledge that they might not otherwise have access to. The catalog facilitates the synergy of the domain experts’ subject matter expertise with the data scientists statistical and coding expertise. Modern data catalogs surface a wide range of data asset types.

Metadata 59

Metadata Data Quality Statistics Data Science 59

FineReport

MARCH 7, 2024

Data Acquisition I categorize data sources into three types: (1) First-party data: User factual data, such as financial products purchased at a certain institution, time of purchase, issuing branch, name, phone number, or operational data, such as user behavioral data on a financial app. (2)

Dashboards 52

Dashboards Reporting Advertising Statistics 52

FineReport

APRIL 11, 2023

Free Download of FineReport What is Business Intelligence Dashboard (BI Dashboard)？ A business intelligence dashboard, also known as a BI dashboard, is a tool that presents important business metrics and data points in a visual and analytical format on a single screen.

Dashboards 40

Dashboards Business Intelligence Metrics Cost-Benefit 40

Wayne Yaddow

FEBRUARY 26, 2025

AI-powered parsing models detect complex format inconsistencies across structured and semi-structured data. Real-World Example A senior data engineer at a SaaS company leverages an AI-powered format validation tool to ensure that CSV-to-JSON conversions preserve numeric precision. typos in addressfields).

Data Transformation 52

Data Transformation Testing Data-driven Data Quality 52

Domino Data Lab

MARCH 3, 2019

What metrics are used to evaluate success? There are essentially four types encountered: image/video, audio, text, and structured data. That’s the point where models degrade once exposed to live customer data, and where it requires significant statistical expertise to answer even a simple “Why?”

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

FineReport

MAY 30, 2024

Educational Background of A Data Visualization Specialist Relevant Degrees Pursuing a degree in fields like Data Science , Information Technology, or Graphic Design can provide a solid foundation for a career as a data visualization specialist.

Visualization 52

Visualization Dashboards KPI Reporting 52

O'Reilly on Data

APRIL 19, 2021

We also asked what kinds of data our “mature” respondents are using. Most (83%) are using structured data (logfiles, time series data, geospatial data). form data). We’d expect most business applications to involve structured data, form data, or text data of some kind.

Enterprise 364

Enterprise Risk Modeling Manufacturing 364

Corinium

APRIL 25, 2019

Life insurance needs accurate data on consumer health, age and other metrics of risk. And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty. It definitely depends on the type of data, no one method is always better than the other.

Insurance 150

Insurance Risk IoT Data-driven 150

Jet Global

MAY 9, 2024

Monitoring can include tracking performance metrics such as execution time and resource usage, and logging errors or failures for troubleshooting and remediation. It also includes data validation and quality checks to ensure the accuracy and integrity of the data being processed.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

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. Amazon Redshift has built-in autonomics to collect statistics called automatic analyze (or auto analyze).

Statistics 108

Statistics Data Warehouse Metadata Data Lake 108