Rocket-Powered Data Science

MARCH 10, 2020

And this: perhaps the most powerful node in a graph model for real-world use cases might be “context”. How does one express “context” in a data model? After all, the standard relational model of databases instantiated these types of relationships in its very foundation decades ago: the ERD (Entity-Relationship Diagram).

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Rocket-Powered Data Science

JULY 19, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

AWS Big Data

MARCH 26, 2024

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Plan on how you can enable your teams to use ML to move from descriptive to prescriptive analytics.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

AWS Big Data

FEBRUARY 20, 2024

You can read from all the ingested data files at a specified Amazon S3 location with different schemas through a single Amazon Redshift Spectrum table by referring to the AWS Glue metadata catalog. In this post, we showcased how you can derive metrics from common atomic data elements from different data sources with unique schemas.

IoT 90

IoT Analytics Prescriptive Analytics Internet of Things 90

IBM Big Data Hub

JANUARY 17, 2023

Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. The automated metadata generation is essential to turn a manual process into one that is better controlled. Data governance. Start a trial.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Alation

MARCH 21, 2023

They may also suffer from data duplication, which undermines their analytics models. How is data analytics used in the travel industry? So much is automatic — the metadata extraction, curation, labeling, query log ingestion, and building out the lineage — it’s a big help,” says Leonard Kowk, senior data analyst.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52