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. The second streaming data source constitutes metadata information about the call center organization and agents that gets refreshed throughout the day.

Management 117

Management Metadata Analytics Dashboards 117

AWS Big Data

NOVEMBER 17, 2023

Amazon Athena is a serverless, interactive analytics service built on open source frameworks, supporting open table file formats. Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata.

Optimization 124

Optimization Statistics Metadata Data Lake 124

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. My read of that narrative arc is that some truly weird tensions showed up circa 2001: Arguably, it’s the heyday of DW+BI. Allows metadata repositories to share and exchange.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

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

The gist is, leveraging metadata about research datasets, projects, publications, etc., Consider the following timeline: 2001 – Physics grad students are getting hired in quantity by hedge funds to work on Wall St. then building machine learning models to recommend methods and potential collaborators to scientists.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

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. I can point to the year 2001. All righty.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109