Dataconomy

SEPTEMBER 27, 2024

Could you share the key milestones that have shaped your career in data analytics? My journey began at NUST MISiS, where I studied Computer Science and Engineering. I studied hard and was a very active student, which made me eligible for an exchange program at Häme University of Applied Sciences (HAMK) in Finland.

Analytics 113

Analytics Analytics Big Data Big Data 113

O'Reilly Media

OCTOBER 19, 2021

Data is at the core of any ML project, so data infrastructure is a foundational concern. ML use cases rarely dictate the master data management solution, so the ML stack needs to integrate with existing data warehouses. To plug this gap, frameworks like Metaflow or MLFlow provide a custom solution for versioning.

ML 145

ML ML Data Scientist AWS 145

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Watsonx comprises of three powerful components: the watsonx.ai

Data Science 94

Data Science Analytics Analytics Data Scientist 94

ODSC - Open Data Science

JANUARY 27, 2023

Preview of Our Interview with Author Pedro Domingos The next installment in ODSC’s popular lightning interview series will feature Pedro Domingos, Professor Emeritus of Computer Science at the University of Washington and recipient of the SIGKDD Innovation Award, on the topic “The Quest for the Ultimate Learning Algorithm.”

Algorithm 52

Algorithm Machine Learning Machine Learning Azure 52

Pickl AI

JULY 25, 2023

Their primary responsibilities include: Data Storage and Management Data Engineers design and implement storage solutions for different types of data, be it structured, semi-structured, or unstructured. They work with databases and data warehouses to ensure data integrity and security.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

IBM Journey to AI blog

JULY 6, 2023

Data from various sources, collected in different forms, require data entry and compilation. That can be made easier today with virtual data warehouses that have a centralized platform where data from different sources can be stored. One challenge in applying data science is to identify pertinent business issues.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

AWS Machine Learning Blog

JUNE 25, 2024

The raw data is processed by an LLM using a preconfigured user prompt. The processed output is stored in a database or data warehouse, such as Amazon Relational Database Service (Amazon RDS). The stored data is visualized in a BI dashboard using QuickSight. The LLM generates output based on the user prompt.

AWS 129

AWS Natural Language Processing Machine Learning Machine Learning 129

Dataconomy

MARCH 24, 2023

They may also be involved in data modeling and database design. BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. They may also be involved in data integration and data quality assurance.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

They may also be involved in data modeling and database design. BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. They may also be involved in data integration and data quality assurance.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Pickl AI

MARCH 3, 2025

However, some core responsibilities include Data Warehousing and Management Designing and maintaining data warehouses and data marts to support Data Analysis and reporting. Ensuring data integrity and security.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

AWS Machine Learning Blog

FEBRUARY 28, 2023

In this post, we used Amazon S3 as the input data source for SageMaker Canvas. However, we can also import data into SageMaker Canvas directly from Amazon RedShift and Snowflake—popular enterprise data warehouse services used by many customers to organize their data and popular third-party solutions.

ML 101

ML ML AWS Machine Learning 101

Alation

SEPTEMBER 6, 2022

And I realized this is something that applies to any field out there beyond just computer science. When we do our sprint or weekly planning, we run queries on our internal data warehouse, and also leverage a new analytics tool called Jellyfish; this helps us estimate what to plan for. It was a collective movement.

Database 52

Database Data Warehouse Computer Science Computer Science 52

Pickl AI

SEPTEMBER 5, 2024

Recommended Educational Background Aspiring Azure Data Scientists typically benefit from a solid educational background in Data Science, computer science, mathematics, or engineering. The platform’s integration with Azure services ensures a scalable and secure environment for Data Science projects.

Azure 52

Azure Data Scientist Data Science Machine Learning 52