Snowflake

JANUARY 23, 2024

This is a first-class, schema-level Snowflake object that provides a versioned container of ML model artifacts with full role-based access control (RBAC) support, and APIs for Python and SQL. Ready to see Snowpark ML in action? The post Accelerate Your Machine Learning Workflows in Snowflake with Snowpark ML appeared first on Snowflake.

Machine Learning 120

Machine Learning Metadata Python Telecommunication 120

Cloudera

DECEMBER 20, 2022

In that sense, access to the auction is more conservative and can lead to inefficiencies in the use of assets, as some of the energy produced may be discarded if it is not saleable in the intraday market. That’s where data comes in. To learn more: Read how utilities lever Cloudera to manage smart meters data.

Data Analytics 81

Data Analytics Retail Machine Learning Recruitment 81

Knowledge Hut

JANUARY 24, 2024

Data Sources Tableau Software can access many data sources and servers. The thing about Power BI is that it supports different data sources. The ease of Using Tableau provides some crucial advantages for detailed data exploration and visualization.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Knowledge Hut

MARCH 26, 2024

An essential position in IT is that of a solution architect who develops and deploys technological solutions that are customized to satisfy certain business requirements. They have a thorough understanding of a variety of technologies. Provide technical leadership and mentorship to junior architects and development teams.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Databand.ai

DECEMBER 29, 2022

Follow Ravit on LinkedIn 5) Priya Krishnan Head of Product Management, Data and AI at IBM Priya is an innovative, customer-focused, data-driven product executive with over 16 years of experience in global product management, strategy, and GTM roles to commercialize and monetize in-demand enterprise solutions.

BI 52

BI Consulting Data Science Data Governance 52

Cloudera

JANUARY 27, 2022

Insurers are increasingly adopting data from smart devices and related technologies to support and service their customers better. I have been researching more about how we can use the new data from those devices to design more innovative insurance products while being aware that these should all be contingent upon customer opt-in.

Insurance 83

Insurance Data Government Data Governance 83

Monte Carlo

JUNE 14, 2023

This frequently involves, in some order, extraction (from a source system), transformation (where data is combined with other data and put into the desired format), and loading (into storage where it can be accessed). Most organizations deploy some or all of these data pipeline architectures.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Ascend.io

MAY 16, 2023

This is the transcript for this seminal conversation of how a global media company is evolving its data strategy toward a working data mesh. The webinar was held in March 2022, as a conversation between Simon Smith, Chief Data Officer at News Corp. and Tom Weeks, COO at Ascend. Simon This comes back to storytelling.

Big Data 52

Big Data Data Architecture Datasets 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. All this investment that I was making in this data stack was for naught,” they said. It was very time-consuming.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. All this investment that I was making in this data stack was for naught,” they said. It was very time-consuming.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52

Monte Carlo

NOVEMBER 30, 2022

During IMPACT 2022: The Data Observability Summit, I had the distinct privilege of chatting with three data pros that have direct experience on how to implement data mesh architectures: Max Schultze at fashion and shoe retailer Zalando, Matheus Espanhol at technology solutions provider BairesDev, and Samia Rahman at biotech startup Seagen.

Data 52

Data Government Architecture Data Lake 52