AWS Big Data

MARCH 12, 2024

In this post, we provide benchmark results of running increasingly complex data quality rulesets over a predefined test dataset. Kalyan Kumar Neelampudi (KK) is a Specialist Partner Solutions Architect (Data Analytics & Generative AI) at AWS. Gonzalo Herreros is a Senior Big Data Architect on the AWS Glue team.

Data Quality 88

Data Quality Measurement Testing Visualization 88

AWS Big Data

JANUARY 22, 2024

It helped them understand the areas where they could improve their workloads and how to address common issues, with automated solutions, as well as how to measure the success, defining KPIs. Spyridon supports the organization in designing, implementing and operating its services in a secure manner protecting the company and users’ data.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

AWS Big Data

APRIL 3, 2024

By analyzing the historical report snapshot, you can identify areas for improvement, implement changes, and measure the effectiveness of those changes. He enjoys helping large companies with the adoption of cloud technologies, and his area of expertise is mainly focused on Data Analytics and Data Management.

Data Quality 88

Data Quality Visualization Metadata Metrics 88

Domino Data Lab

OCTOBER 7, 2020

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. P >> N) ). Simulations show that it does.

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

AWS Big Data

OCTOBER 23, 2023

Now that we have our workgroup and notebook created, let’s start exploring the NOAA Global Surface Summary of Day dataset, which provides environmental measures from various locations all over the earth. Analytics Architect on Amazon Athena. To learn more about Athena Spark, refer to Amazon Athena for Apache Spark.

Data Lake 101

Data Lake Visualization Optimization Interactive 101

Cloudera

AUGUST 6, 2018

To understand the complex causes of obesity and design appropriate interventions, the project plans to use a wide range of sources such as shopper data, tv ads, online gaming, the availability of open space for children to play, and data from school lunch suppliers. .

Machine Learning 49

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

Domino Data Lab

JUNE 2, 2019

She had much to say to leaders of data science teams, coming from perspectives of data engineering at scale. And by “scale” I’m referring to what is arguably the largest, most successful data analytics operation in the cloud of any public firm that isn’t a cloud provider. Being model-driven is like using GPS.”. “If

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110