AWS Big Data

MARCH 4, 2024

Apache Iceberg manages these schema changes in a backward-compatible way through its innovative metadata table evolution architecture. For instance, an ecommerce marketplace may initially partition order data by day. Lake Formation helps you centrally manage, secure, and globally share data for analytics and machine learning.

Snapshot 112

Snapshot Data Lake Metadata Recreation/Entertainment 112

AWS Big Data

NOVEMBER 17, 2023

Athena provides a simplified, flexible way to analyze petabytes of data where it lives. You can analyze data or build applications from an Amazon Simple Storage Service (Amazon S3) data lake and 30 data sources, including on-premises data sources or other cloud systems using SQL or Python.

Optimization 112

Optimization Statistics Metadata Data Lake 112

AWS Big Data

OCTOBER 11, 2023

In this post, we discuss ways to modernize your legacy, on-premises, real-time analytics architecture to build serverless data analytics solutions on AWS using Amazon Managed Service for Apache Flink. 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

AWS Big Data

AUGUST 28, 2023

In this case, the subscriber is OpenSearch Ingestion, which consumes security data and ingests it into OpenSearch Service. For index, enter the index name that was defined in the template created in the previous section ( "ocsf-cuid-${/class_uid}-${/metadata/product/name}-${/class_name}-%{yyyy.MM.dd}" ). Choose Create subscriber.

Dashboards 52

Dashboards Visualization Metadata Management 52

Domino Data Lab

APRIL 3, 2019

In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form. It includes perspectives about current issues, themes, vendors, and products for data governance. Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

AUGUST 8, 2019

In any case, there’s a simpler way to look at these concerns, then rethink hiring and training priorities for data science teams. 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. What’s a Foo?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

JULY 22, 2019

There’s a really nice comfortable blend here of what’s important in business, in engineering, in data science, etc. Back in 1962, he wrote a paper called “ The Future of Data Analysis.” The idea of being able to use machines to crunch data that was still relatively new. I really appreciate it.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109