AWS Big Data

FEBRUARY 1, 2023

To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake. We used the same AWS Glue jobs to further transform and load the data into the required S3 bucket and a portion of extracted metadata into DynamoDB.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

AWS Big Data

JULY 26, 2023

Using augmented ML search and generative AI with vector embeddings Organizations across all verticals are rapidly adopting generative AI for its ability to handle vast datasets, generate automated content, and provide interactive, human-like responses. Carl has been with Amazon Elasticsearch Service since before it was launched in 2015.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Jet Global

MAY 27, 2021

Chrome: September 2015. Speak to the users themselves to understand how the reports are used, how they subsequently interact with the data, and which reports are critical. Hubble delivers significant benefits to the team, helping us understand key spend metrics.”. Oracle 11g extended support ended December 2020. Repository.

Reporting 52

Reporting Cost-Benefit Dashboards Finance 52

Cloudera

JUNE 16, 2022

In 2015, Cloudera became one of the first vendors to provide enterprise support for Apache Kafka, which marked the genesis of the Cloudera Stream Processing (CSP) offering. The DevOps/app dev team wants to know how data flows between such entities and understand the key performance metrics (KPMs) of these entities.

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

Domino Data Lab

SEPTEMBER 9, 2019

For example, with those open source licenses we can download their text, parse, then compare similarity metrics among them: In [12]: pairs = [?. ["mit", "asl"],?. ["asl", "bsd"],?. ["bsd", "mit"] ?]? ?for metadata=convention_df["speaker"]? ). for a, b in pairs:?.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110