AWS Big Data

MARCH 12, 2024

AWS Glue Data Quality reduces the effort required to validate data from days to hours, and provides computing recommendations, statistics, and insights about the resources required to run data validation. Gonzalo Herreros is a Senior Big Data Architect on the AWS Glue team.

Data Quality 95

Data Quality Measurement Testing Visualization 95

Smart Data Collective

APRIL 5, 2019

Big data is playing a more important role than ever in fine-tuning the relationship between customers and brands. The Complex Role Between Big Data and Social Listening Tools. Social media monitoring involves collecting data and is quantifiable. Big Data Makes Social Listening More Viable than Ever.

Big Data 79

Big Data Interactive Data-driven Metrics 79

datapine

JANUARY 6, 2022

In fact, a Digital Universe study found that the total data supply in 2012 was 2.8 Based on that amount of data alone, it is clear the calling card of any successful enterprise in today’s global world will be the ability to analyze complex data, produce actionable insights and adapt to new market needs… all at the speed of thought.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

IBM Big Data Hub

AUGUST 9, 2023

Even a simple web application can benefit from observability by implementing basic logging and metrics. In such scenarios, observability becomes crucial to trace requests across different services, measure latency and pinpoint performance bottlenecks. As their systems grow in complexity, they face new challenges and potential failures.

Metrics 65

Metrics Interactive Software Data-driven 65

AWS Big Data

APRIL 3, 2024

Many organizations already use AWS Glue Data Quality to define and enforce data quality rules on their data, validate data against predefined rules , track data quality metrics, and monitor data quality over time using artificial intelligence (AI). option("header", "true").option("inferSchema",

Data Quality 94

Data Quality Visualization Metadata Metrics 94

AWS Big Data

AUGUST 7, 2023

Prepare the data Refer to the following notebook for the steps needed to create this use case. The data contains measurements of electric power consumption in different households for the year 2014. We aggregated the usage data hourly. All other RTS feature data must be INT or FLOAT data types.

Forecasting 87

Forecasting Data Warehouse Machine Learning Modeling 87

Cloudera

AUGUST 6, 2018

This is important because unlike diabetes or high blood pressure we don’t yet have clear metrics for Parkinson’s. The hope is that these sensor data will help establish those reference targets to better manage a fluctuating chronic condition. We now have the flexibility to combine different types of data.

Machine Learning 49

Machine Learning Internet of Things Cost-Benefit Data-driven 49