phData

NOVEMBER 9, 2023

What Components Make up the Snowflake Data Cloud? 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? Today, data lakes and data warehouses are colliding.

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

Pickl AI

JULY 14, 2024

It highlights their unique functionalities and applications, emphasising their roles in maintaining data integrity and facilitating efficient data retrieval in database design and management. Understanding the significance of different types of keys in DBMS is crucial for effective database design and management.

Database 52

Database SQL Data Warehouse Data Analyst 52

IBM Journey to AI blog

APRIL 8, 2024

The new Amazon Relational Database Service (Amazon RDS) for Db2 offering allows customers to migrate their existing, self-managed Db2 databases to the cloud and accelerate strategic modernization initiatives. Can Amazon RDS for Db2 be used for running data warehousing workloads?

AWS 87

AWS Database Data Warehouse Analytics 87

Flipboard

DECEMBER 6, 2023

During the embeddings experiment, the dataset was converted into embeddings, stored in a vector database, and then matched with the embeddings of the question to extract context. The generated query is then run against the database to fetch the relevant context. Based on the initial tests, this method showed great results.

SQL 168

SQL Database AWS Machine Learning 168

ODSC - Open Data Science

JUNE 12, 2023

The Datamarts capability opens endless possibilities for organizations to achieve their data analytics goals on the Power BI platform. This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 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

O'Reilly Media

OCTOBER 19, 2021

Adapted from the book Effective Data Science Infrastructure. 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.

ML 145

ML ML Data Scientist AWS 145

Precisely

JANUARY 25, 2024

There are three potential approaches to mainframe modernization: Data Replication creates a duplicate copy of mainframe data in a cloud data warehouse or data lake, enabling high-performance analytics virtually in real time, without negatively impacting mainframe performance. Want to learn more?

Data Governance 69

Data Governance Database Cloud Data Data Lakes 69

IBM Journey to AI blog

AUGUST 3, 2023

By analyzing traffic on an autonomous and continuous basis—as well as data repositories connected to the network—IBM Security Discover and Classify can detect all elements on the network that are storing, processing and sharing sensitive data both outside and inside the network.

Azure 71

Azure Database Analytics Analytics 71

IBM Journey to AI blog

NOVEMBER 8, 2023

We are expanding IBM Db2 Warehouse on Power with a new Base Rack Express at a 30% lower entry list price, adding to today’s S, M and L configurations, while still providing the same total-solution experience, including Db2 Data Warehouse’s connectivity with watsonx.data to unlock the potential of data for analytics and AI.

AI 107

AI AI Data Warehouse Data Science 107

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 Scientist Data Wrangling 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

The ability to quickly drill down to relevant data and make bulk changes saves stewards the time and headache of doing it manually, one by one. For example, a data steward can filter all data by ‘“endorsed data’” in a Snowflake data warehouse, tagged with ‘bank account’. for the popular database SQL Server.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

Pickl AI

JULY 23, 2023

It is curated intentionally for a specific purpose, often to analyze and derive insights from the data it contains. Datasets are typically formatted and stored in files, databases, or spreadsheets, allowing for easy access and analysis. Types of Data 1. The post Data Demystified: What Exactly is Data?

Analytics 52

Analytics Analytics Predictive Analytics Data Analysis 52

Alation

JUNE 14, 2023

Anyone building anything net-new publishes to Snowflake in a database driven by the use case and uses our commoditized web-based GUI ingestion framework. It’s also the mechanism that brings data consumers and data producers closer together. Register (and book a meeting with our team). The process is simplified.

Data Pipeline 52

Data Pipeline ETL Data Warehouse SQL 52

ODSC - Open Data Science

JULY 11, 2023

They are typically used by organizations to store and manage their own data. A data lake house is a hybrid approach that combines the benefits of a data lake and a data warehouse. Photo from unsplash.com Is cloud computing just using someone else’s data center? Data center career paths (techtarget.com) 10.

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

Snorkel AI

JUNE 27, 2023

First, you generate predictions and you store them in a data warehouse. And then you might want to load them into some key-value store like a database or Redis for faster retrieval. We should be able to continually train the model on fresh data. So we need to access fresh data. So yes, that is my talk.

AI 52

AI AI Data Warehouse Machine Learning 52

Snorkel AI

JUNE 27, 2023

First, you generate predictions and you store them in a data warehouse. And then you might want to load them into some key-value store like a database or Redis for faster retrieval. We should be able to continually train the model on fresh data. So we need to access fresh data. So yes, that is my talk.

AI 52

AI AI Data Warehouse Machine Learning 52

Snorkel AI

JUNE 27, 2023

First, you generate predictions and you store them in a data warehouse. And then you might want to load them into some key-value store like a database or Redis for faster retrieval. We should be able to continually train the model on fresh data. So we need to access fresh data. So yes, that is my talk.

AI 52

AI AI Data Warehouse Machine Learning 52

Mlearning.ai

AUGUST 18, 2023

Image from Wallpaper Flare Let’s say you are in a huge library and you want to find a book with a specific topic like “Machine Learning”. With no help, you’d have to go through every single book in the library, which would take a long time. In a library, there is a catalog that lists all the books and what they’re about.

SQL 52

SQL Clustering Database Machine Learning 52

phData

SEPTEMBER 27, 2024

. “ This sounds great in theory, but how does it work in practice with customer data or something like a ‘composable CDP’? Well, implementing transitional modeling does require a shift in how we think about and work with customer data. It often involves specialized databases designed to handle this kind of atomic, temporal data.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52

ODSC - Open Data Science

NOVEMBER 22, 2023

Data Version Control for Data Lakes: Handling the Changes in Large Scale In this article, we will delve into the concept of data lakes, explore their differences from data warehouses and relational databases, and discuss the significance of data version control in the context of large-scale data management.

Data Lakes 52

Data Lakes Predictive Analytics AI AI 52

AWS Machine Learning Blog

FEBRUARY 12, 2025

Many organizations store their data in structured formats within data warehouses and data lakes. Amazon Bedrock Knowledge Bases offers a feature that lets you connect your RAG workflow to structured data stores. The key is to choose a solution that can effectively host your database and compute infrastructure.

AWS 91

AWS Machine Learning Machine Learning AI 91