Flipboard

JUNE 17, 2023

Former Microsoft and Snowflake exec Bob Muglia’s new book is “ The Datapreneurs: The Promise of AI and the Creators Building Our Future.” ” This week: the origins of data, and the future of the digital species.

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Pickl AI

AUGUST 1, 2023

Aspiring and experienced Data Engineers alike can benefit from a curated list of books covering essential concepts and practical techniques. These 10 Best Data Engineering Books for beginners encompass a range of topics, from foundational principles to advanced data processing methods. What is Data Engineering?

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ODSC - Open Data Science

MARCH 10, 2025

Data Warehouses Into this morass came the data warehouse. The data warehouse made enterprise-wide data available to the corporation for the first time. With data warehouses, there was a single version of thetruth. The data warehouse was built exclusively on structured data.

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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.

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AWS Machine Learning Blog

FEBRUARY 14, 2024

We use prompt engineering techniques to develop and optimize the prompts with the data that is stored in a Redshift database to efficiently use the foundation models. The solution uses their booking data to look up the cities they are going to, along with the travel dates, and comes up with a precise, personalized list of things to do.

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ODSC - Open Data Science

MAY 7, 2024

In this episode, James Serra, author of “Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh” joins us to discuss his book and dive into the current state and possible future of data architectures.

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Dataconomy

NOVEMBER 19, 2024

So, if we compare data to oil, it suggests everyone has access to the same data, though in different quantities and easier to harvest for some. This comparison makes data feel like a commodity, available to everyone but processed in different ways. However, once you start refining it, that’s when the real value comes in.

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Smart Data Collective

NOVEMBER 18, 2020

Data Mining is an important research process. It includes the analysis of hidden data models according to various translation options into useful information that is collected and generated in data warehouses to facilitate business decisions designed to reduce costs and increase income. Practical experience.

Data Mining 144

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Towards AI

FEBRUARY 13, 2023

It also features a compilation of blog posts and books for further learning. Guide and resources for prompt engineering This GitHub guide includes a collection of recent papers, educational resources, datasets, and tools relevant to prompt engineering.

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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.

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Flipboard

MAY 30, 2025

For the preceding techniques, the foundation should provide scalable infrastructure for data storage and training, a mechanism to orchestrate tuning and training pipelines, a model registry to centrally register and govern the model, and infrastructure to host the model. She has presented her work at various learning conferences.

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IBM Journey to AI blog

APRIL 8, 2024

Answer: To share feedback on the product and learn more about new features or technical updates planned for Amazon RDS for Db2, connect with your IBM or AWS representative to  book a meeting with IBM Db2 experts.  Can Amazon RDS for Db2 be used for running data warehousing workloads?

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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

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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.

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Alation

JULY 30, 2021

A part of that journey often involves moving fragmented on-premises data to a cloud data warehouse. You clearly shouldn’t move everything from your on-premises data warehouses. Otherwise, you can end up with a data swamp. But how do you do so effectively and efficiently? until 1 and 2 are addressed).

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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.

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AWS Machine Learning Blog

NOVEMBER 1, 2023

Outside of work, he enjoys playing lawn tennis and reading books. Jeff Newburn is a Senior Software Engineering Manager leading the Data Engineering team at Logikcull – A Reveal Technology. He oversees the company’s data initiatives, including data warehouses, visualizations, analytics, and machine learning.

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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.

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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.

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ODSC - Open Data Science

DECEMBER 5, 2024

We will also be hosting a wide range of networking receptions and events , book signing sessions, morning runs and more that will bring like-minded attendees together to share experiences, insights, and inspiration. And we cant wait to give our ODSC East Boston community the opportunity to have a similar hackathon experience in 2025.

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Dataconomy

MAY 14, 2025

From ordering groceries to booking travel, consumers will increasingly rely on AI agents to handle interactions that once required direct human effort. For example, a travel company might offer an AI trip planner that handles end-to-end booking for the user, rather than ceding that role to a third-party agent. in a query-ready form.

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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!

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IBM Journey to AI blog

AUGUST 3, 2023

IBM Security® Guardium® Data Protection empowers security teams to safeguard sensitive data through discovery and classification, data activity monitoring, vulnerability assessments and advanced threat detection.

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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.

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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.

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IBM Journey to AI blog

AUGUST 1, 2023

Fortunately, data stores serve as secure data repositories and enable foundation models to scale in both terms of their size and their training data. Data stores suitable for business-focused generative AI are built on an open lakehouse architecture, combining the qualities of a data lake and data warehouse.

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IBM Journey to AI blog

AUGUST 28, 2023

If you’re a reader, chances are good you’ve read a book from Macmillan. This data is leveraged by departments throughout the organization and is essential to their business operations. As business processes grew more complex, the data transparency and visibility suffered.

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DataRobot Blog

FEBRUARY 21, 2022

Cloud-to-Cloud Data Performance 10 3 to 10 6 Faster. Prior to the 21st Century, most developers owned a “compiler book.” This was not a book one read about compilers; it was a book one read while building and slowly compiling software. The 21st Century equivalent should be called the “query and download book.”

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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’. Book a demo today.

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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.

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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?

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Flipboard

DECEMBER 6, 2023

The dataset Our structured dataset can reside in a SQL database, data lake, or data warehouse as long as we have support for SQL. In our use case, we use SQLDatabaseChain in the SQL generation, simplifying and orchestrating interactions between the database and the LLM.

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phData

JANUARY 19, 2024

For this project, we will utilize a simple OpenLibrary API to find many books based on a subject and a time window. Now, we’ll make a GET request to the following endpoint, which is set up to look for analytics books released between 2014 and 2024. Each API has its own set of requirements. Additional setup is typically optional.

Data Pipeline 52

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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

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Pickl AI

JULY 23, 2023

Proper data collection practices are critical to ensure accuracy and reliability. Data Storage After collection, the data needs a secure and accessible storage system. Organizations may use databases, data warehouses, or cloud-based storage solutions depending on the type and volume of data.

Analytics 52

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Alation

JUNE 14, 2023

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 As we modernize our core banking platforms, the data goes with that modernization journey.”

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Snorkel AI

JUNE 27, 2023

First, you generate predictions and you store them in a data warehouse. For example, one person needs to go into a data warehouse with the data sources to generate the relevant data, do the feature engineering and train the model, and then hand it off to another team to deploy. So yes, that is my talk.

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