article thumbnail

Measure performance of AWS Glue Data Quality for ETL pipelines

AWS Big Data

In this post, we provide benchmark results of running increasingly complex data quality rulesets over a predefined test dataset. Gonzalo Herreros is a Senior Big Data Architect on the AWS Glue team. Create and attach a new inline policy ( AWSGlueDataQualityBucketPolicy ) with the following content.

article thumbnail

Big Data Paves The Way For Fantastic New Social Listening Tools

Smart Data Collective

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. A number of companies use big data to provide better social listening capabilities.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

A Big Data Imperative: Driving Big Action

Occam's Razor

Is there anything in the analytics space that is so full of promise and hype and sexiness and possible awesomeness than "big data?" So what is big data really? As I interpret it, big data is the collection of massive databases of structured and unstructured data. No one quite knows.

Big Data 127
article thumbnail

A Guide To The Methods, Benefits & Problems of The Interpretation of Data

datapine

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.

article thumbnail

Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

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. He has worked with building data warehouses and big data solutions for over 15 years.

article thumbnail

Debunking observability myths – Part 3: Why observability works in every environment, not just large-scale systems

IBM Big Data Hub

In such scenarios, observability becomes crucial to trace requests across different services, measure latency and pinpoint performance bottlenecks. A notable example of the importance of observability occurred in 2012 when a financial services firm lost $400+ million in less than an hour due to a software glitch.

Metrics 64
article thumbnail

The curse of Dimensionality

Domino Data Lab

Danger of Big Data. Big data is the rage. This could be lots of rows (samples) and few columns (variables) like credit card transaction data, or lots of columns (variables) and few rows (samples) like genomic sequencing in life sciences research. Louis Olin School of Business in 2012.