AWS Big Data

APRIL 3, 2024

Today, we are pleased to announce that Amazon DataZone is now able to present data quality information for data assets. Other organizations monitor the quality of their data through third-party solutions. Additionally, Amazon DataZone now offers APIs for importing data quality scores from external systems.

Data Quality 90

Data Quality Visualization Metadata Metrics 90

AWS Big Data

DECEMBER 18, 2023

There are multiple tables related to customers and order data in the RDS database. Amazon S3 hosts the metadata of all the tables as a.csv file. This is especially true when you are processing millions of items and you expect data quality issues in the dataset.

Metadata 122

Metadata Visualization Data Lake Data-driven 122

AWS Big Data

MARCH 1, 2024

An AWS Glue Crawler scans the above files and catalogs metadata about them into the AWS Glue Data Catalog. The Glue Data Catalog organizes this Amazon S3 data into tables and databases, assigning columns and data types so the data can be queried using SQL that Amazon Redshift Spectrum can understand.

Data Lake 101

Data Lake Data Warehouse Management Risk 101

AWS Big Data

JUNE 6, 2023

Founded in 2012, SumUp is the financial partner for more than 4 million small merchants in over 35 markets worldwide, helping them start, run and grow their business. Data Catalog: We also wanted to automate a Glue Crawler to have metadata in a Data Catalog and be able to explore our files in S3 with Athena.

Analytics 55

Analytics Data Lake Testing Optimization 55

Peter James Thomas

AUGUST 18, 2018

Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. Next, rather than just being the province of Data Scientists, there were moves to use Data Lakes to support general Data Discovery and even business Reporting and Analytics as well.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. That was the origin of big data.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109