Analytics Vidhya

FEBRUARY 17, 2023

Introduction Are you curious about the latest advancements in the data tech industry? In that case, we invite you to check out DataHour, a series of webinars led by experts in the field. Perhaps you’re hoping to advance your career or transition into this field.

Analytics 319

Analytics Analytics Data Pipeline Data Warehouse 319

IBM Journey to AI blog

NOVEMBER 3, 2023

When you make it easier to work with events, other users like analysts and data engineers can start gaining real-time insights and work with datasets when it matters most. As a result, you reduce the skills barrier and increase your speed of data processing by preventing important information from getting stuck in a data warehouse.

Apache Kafka 79

Apache Kafka Data Warehouse Data Pipeline Big Data 79

ODSC - Open Data Science

OCTOBER 7, 2024

And before the hackathon starts, make sure to begin your journey with NVIDIA’s exclusive webinar. There you’ll hear from Ivan Nardini, Developer Relations Engineer at Google Cloud and discover the latest advancements in AI and learn how to leverage Google Cloud’s powerful tools and infrastructure to drive innovation in your organization.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

IBM Journey to AI blog

OCTOBER 2, 2024

Inconsistent data quality: The uncertainty surrounding the accuracy, consistency and reliability of data pulled from various sources can lead to risks in analysis and reporting. These products are curated with key attributes such as business domain, access level, delivery methods, recommended usage and data contracts.

Business Intelligence 58

Business Intelligence Business Intelligence Power BI Data Quality 58

Alation

JUNE 14, 2023

Every organization wants to better serve its customers, and that goal is often achieved through data. We didn’t have access to hundreds of data engineers out in the marketplace,” Lavorini points out. It’s also the mechanism that brings data consumers and data producers closer together.

Data Pipeline 52

Data Pipeline ETL Data Warehouse SQL 52

Pickl AI

SEPTEMBER 5, 2024

Data Preparation: Cleaning, transforming, and preparing data for analysis and modelling. Collaborating with Teams: Working with data engineers, analysts, and stakeholders to ensure data solutions meet business needs.

Azure 52

Azure Data Scientist Machine Learning Machine Learning 52