Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. One of the longer-term trends that we’re seeing with Airflow , and so on, is to externalize graph-based metadata and leverage it beyond the lifecycle of a single SQL query, making our workflows smarter and more robust. BTW, videos for Rev2 are up: [link].

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

NOVEMBER 16, 2023

Building a starter version of anything can often be straightforward, but building something with enterprise-grade scale, security, resiliency, and performance typically requires knowledge and adherence to battle-tested best practices, and using the right tools and features in the right scenario. system implemented with Amazon Redshift.

Enterprise 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

Rita Sallam

APRIL 2, 2023

Metadata management goes beyond technical metadata and even combining that with business metadata when it infers or anticipates new users of recently introduced data assets. Pattern-basis can also consist of gradual drift and shift of workload patterns and this can be built into a predictive efficiency model.

Optimization 52

Optimization Machine Learning Insurance Risk 52

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. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. Allows metadata repositories to share and exchange.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Alation

MAY 31, 2023

This year’s DGIQ West will host tutorials, workshops, seminars, general conference sessions, and case studies for global data leaders. He also works with data engineers and business teams to help them understand the Google Cloud Platform and ensure the success of their implementations. His major takeaway?

Data Governance 52

Data Governance Insurance Metadata Data-driven 52

Alation

JANUARY 17, 2023

Business intelligence (BI) platforms. Great data science tools will assist data scientists and citizen data scientists in testing and training datasets for developing models, and ultimately for deploying them. Business Intelligence Tools: Business intelligence (BI) tools are used to visualize your data.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

CIO Business Intelligence

JUNE 9, 2022

Dynamics 365 is a large collection of business intelligence products from Microsoft, and two parts, Customer Insights and Marketing , can deliver much of the marketing intelligence found in a CDP and a DMP. Its cloud-hosted tool manages customer communications to deliver the right messages at times when they can be absorbed.

Management 138

Management Advertising Data Lake Sales 138

IBM Big Data Hub

JULY 17, 2023

Watsonx.data is built on 3 core integrated components: multiple query engines, a catalog that keeps track of metadata, and storage and relational data sources which the query engines directly access. ” Vitaly Tsivin, EVP Business Intelligence at AMC Networks. How you can get started today Test out watsonx.ai

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

CIO Business Intelligence

SEPTEMBER 22, 2023

Microsoft Customer Insights and Marketing Dynamics 365 is a large collection of business intelligence products from Microsoft, and two parts, Customer Insights and Marketing , can deliver much of the marketing intelligence found in a CDP and a DMP. Of course, marketing also works.

Management 99

Management Advertising Data Lake Sales 99

Jet Global

FEBRUARY 23, 2024

An on-premise solution provides a high level of control and customization as it is hosted and managed within the organization’s physical infrastructure, but it can be expensive to set up and maintain. Business applications use metadata and semantic rules to ensure seamless data transfer without loss.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., CRM, ERP, EHR/EMR) or portals (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52