Dataconomy

APRIL 27, 2023

Concurrency algorithms are used to ensure that no two users can change the same data at the same time and that all transactions are carried out in the proper order. This helps prevent issues such as double-booking the same hotel room and accidental overdrafts on joint bank accounts.

Database 159

Database Data Scientist Data Mining Data Mining 159

ODSC - Open Data Science

APRIL 4, 2024

ODSC Highlights Announcing the Keynote and Featured Speakers for ODSC East 2024 The keynotes and featured speakers for ODSC East 2024 have won numerous awards, authored books and widely cited papers, and shaped the future of data science and AI with their research. Learn more about them here!

Data Visualization 52

Data Visualization Analytics Analytics Big Data Analytics 52

phData

FEBRUARY 14, 2023

Data integration is essentially the Extract and Load portion of the Extract, Load, and Transform (ELT) process. Data ingestion involves connecting your data sources, including databases, flat files, streaming data, etc, to your data warehouse. Snowflake provides native ways for data ingestion.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

IBM Journey to AI blog

DECEMBER 16, 2022

You have a specific book in mind, but you have no idea where to find it. You enter the title of the book into the computer and the library’s digital inventory system tells you the exact section and aisle where the book is located. It uses metadata and data management tools to organize all data assets within your organization.

Data Quality 52

Data Quality Data Governance Data Wrangling Data Scientist 52

phData

MARCH 11, 2024

For years, marketing teams across industries have turned to implementing traditional Customer Data Platforms (CDPs) as separate systems purpose-built to unlock growth with first-party data. Book a Demo The post What is a Customer Data Platform (CDP)? appeared first on phData.

Data Warehouse 52

Data Warehouse Cloud Data Data Modeling Data Models 52

Alation

MAY 24, 2022

“At Kestra Financial, we need confidence that we’re delivering trustworthy, reliable data to everyone making data-driven decisions,” said Justin Mikhalevsky, Vice President of Data Governance & Analytics, Kestra Financial. “We Learn more about the Open Data Quality Initiative by exploring the resources below.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

Alation

JUNE 14, 2023

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. Our legacy architecture, like that at most organizations, is a massive on-prem enterprise data warehouse,” Lavorini says. “As

Data Pipeline 52

Data Pipeline ETL Data Warehouse SQL 52

Pickl AI

JULY 14, 2024

Moreover, DBMS systems manage data through functionalities such as indexing, which enhances retrieval speed by logically organising data. Best Data Engineering and SQL Books for Beginners. Advanced SQL Tips and Tricks for Data Analysts. Exploring Differences: Database vs Data Warehouse.

Database 52

Database SQL Data Warehouse Data Analyst 52

phData

SEPTEMBER 27, 2024

Activity Schema Modeling: Capturing the Customer Journey in Action Now that we’ve got our Lego blocks of customer data, let’s talk about another game-changing approach that’s shaking up the world of customer data modeling: Activity Schema Modeling. What is Activity Schema Modeling?

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52

DagsHub

JANUARY 27, 2025

Improve your data quality for better AI Easily curate and annotate your vision, audio, and document data with a single platform. Book a Demo Manual Labeling This kind of labeling is the less sophisticated one in terms of technology requirements. It involves human annotators who manually assign labels to text data.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Supervised Learning 52

phData

NOVEMBER 9, 2023

This data mesh strategy combined with the end consumers of your data cloud enables your business to scale effectively, securely, and reliably without sacrificing speed-to-market. What is a Cloud Data Warehouse? For example, most data warehouse workloads peak during certain times, say during business hours.

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

IBM Journey to AI blog

JULY 27, 2023

Powering a knowledge management system with a data lakehouse Organizations need a data lakehouse to target data challenges that come with deploying an AI-powered knowledge management system. It provides the combination of data lake flexibility and data warehouse performance to help to scale AI.

AI 69

AI AI Data Scientist Data Quality 69