AWS Big Data

NOVEMBER 17, 2023

Amazon Athena is a serverless, interactive analytics service built on open source frameworks, supporting open table file formats. Athena provides a simplified, flexible way to analyze petabytes of data where it lives. By using these statistics, CBO improves query run plans and boosts the performance of queries run in Athena.

Optimization 112

Optimization Statistics Metadata Data Lake 112

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). We keep feeding the monster data. the flywheel effect.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

OCTOBER 11, 2023

We introduce you to Amazon Managed Service for Apache Flink Studio and get started querying streaming data interactively using Amazon Kinesis Data Streams. It shows a call center streaming data source that sends the latest call center feed in every 15 seconds.

Management 105

Management Metadata Analytics Dashboards 105

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

AWS Big Data

AUGUST 28, 2023

An example is provided below ocsf-cuid-${/class_uid}-${/metadata/product/name}-${/class_name}-%{yyyy.MM.dd} Complete the following steps to install the index templates and dashboards for your data: Download the component_templates.zip and index_templates.zip files and unzip them on your local device. Set region as us-east-1.

Dashboards 52

Dashboards Visualization Metadata Management 52

Domino Data Lab

AUGUST 8, 2019

I mention this here because there was a lot of overlap between current industry data governance needs and what the scientific community is working toward for scholarly infrastructure. The gist is, leveraging metadata about research datasets, projects, publications, etc., 2018 – Global reckoning about data governance, aka “Oops!

Data Science 71

Data Science Machine Learning Data Governance Statistics 71