How to Learn Machine Learning

MAY 2, 2025

Best Practices for Azure Machine Learning Projects To get the most out of Azure Machine Learning, consider these best practices: Data Management Use Azure Data Stores : Connect to various data sources including Azure Blob Storage, Azure Data Lake, and Azure SQL Database for efficient data access.

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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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Flipboard

OCTOBER 25, 2023

The following is a high-level architecture of the solution we can build to process the unstructured data, assuming the input data is being ingested to the raw input object store. The steps of the workflow are as follows: Integrated AI services extract data from the unstructured data.

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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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ODSC - Open Data Science

JULY 27, 2023

Choosing a Data Lake Format: What to Actually Look For The differences between many data lake products today might not matter as much as you think. When choosing a data lake, here’s something else to consider. When choosing a data lake, here’s something else to consider.

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AWS Machine Learning Blog

APRIL 30, 2025

ENGIEs One Data team partnered with AWS Professional Services to develop an AI-powered chatbot that enables natural language conversation search within ENGIEs Common Data Hub data lake, over 3 petabytes of data. See the re:Invent 2024 session for more information.

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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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IBM Journey to AI blog

AUGUST 1, 2023

models are trained on IBM’s curated, enterprise-focused data lake. Fortunately, data stores serve as secure data repositories and enable foundation models to scale in both terms of their size and their training data. Foundation models focused on enterprise value IBM’s watsonx.ai All watsonx.ai

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AWS Machine Learning Blog

AUGUST 15, 2024

He works closely with enterprise customers building data lakes and analytical applications on the AWS platform. He wrote a book on AWS FinOps, and enjoys reading and building solutions. Explore the future of no-code ML with SageMaker Canvas today. About the authors Bret Pontillo is a Sr. Solutions Architect at AWS.

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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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Alation

FEBRUARY 20, 2020

Imagine a new type of business, one in which the fabric of data is so woven throughout the enterprise that it becomes almost a living, breathing entity that one day may even be able to make the right decisions for you. We have a new demo of how Alation automatically catalogs the data lake using ThinkBig’s Kylo initiative.

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ODSC - Open Data Science

JULY 11, 2023

What are the similarities and differences between data centers, data lake houses, and data lakes? Data centers, data lake houses, and data lakes are all related to data storage and management, but they have some key differences. Data center career paths (techtarget.com) 10.

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AWS Machine Learning Blog

APRIL 18, 2023

With the recently launched Amazon Monitron Kinesis data export v2 feature , your OT team can stream incoming measurement data and inference results from Amazon Monitron via Amazon Kinesis to AWS Simple Storage Service (Amazon S3) to build an Internet of Things (IoT) data lake.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

You marked your calendars, you booked your hotel, and you even purchased the airfare. Batalov is a 17-year Amazon veteran and a PhD in Machine Learning, Denis worked on such exciting projects as Search Inside the Book, Amazon Mobile apps and Kindle Direct Publishing. You must bring your laptop to participate. We’ll see you there!

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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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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. Compute.

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Snorkel AI

MARCH 26, 2024

Reinvestigating the data and updating problematic labels could have taken human labelers several days—perhaps weeks—of cumulative labor. The outputs of this model have become central to the client’s data lake, powering downstream analytics and recommendation models. Book a demo today.

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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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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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Snorkel AI

MARCH 26, 2024

Reinvestigating the data and updating problematic labels could have taken human labelers several days—perhaps weeks—of cumulative labor. The outputs of this model have become central to the client’s data lake, powering downstream analytics and recommendation models. Book a demo today.

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AWS Machine Learning Blog

JUNE 12, 2024

The main idea is to supply historic data to an ML algorithm that can identify patterns from the past and then use those patterns to estimate likely values about unseen periods in the future. Amazon has a long heritage of using time series forecasting, dating back to the early days of having to meet mail-order book demand.

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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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AWS Machine Learning Blog

APRIL 12, 2023

With this service, industrial sensors, smart meters, and OPC UA servers can be connected to an AWS data lake with just a few clicks. He published a book on time series analysis in 2022 and regularly writes about this topic on LinkedIn and Medium. This organization manages fleets of globally distributed edge gateways.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Enhance IDP with Amazon Comprehend Flywheel and Amazon Textract Custom Queries Leverage the Amazon Comprehend flywheel for a streamlined ML process, from data ingestion to deployment. By centralizing datasets within the flywheel’s dedicated Amazon S3 data lake, you ensure efficient data management.

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IBM Journey to AI blog

JULY 1, 2024

If you say “manual stitching” among data professionals, everyone cringes and runs. In her book, Data lineage from a business perspective , Dr. Irina Steenbeek introduces the concept of descriptive lineage as “a method to record metadata-based data lineage manually in a repository.”

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phData

FEBRUARY 14, 2023

Tips When Considering Streamsets Data Collector: As a Snowflake partner, Streamsets includes very intricate documentation on using Data Collector with Snowflake, including this book you can read here. Data Collector can use Snowflake’s native Snowpipe in its pipelines.

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Alation

MARCH 21, 2023

Why is data analytics important for travel organizations? Having been in business for over 50 years, ARC had accumulated a massive amount of data that was stored in siloed, on-premises servers across its 7 business domains. Using Alation, ARC automated the data curation and cataloging process. “So

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Alation

FEBRUARY 13, 2020

In his book titled “The Fourth Industrial Revolution,” Klaus Schwab describes the age as, “characterized by a much more ubiquitous and mobile internet, by smaller and more powerful sensors that have become cheaper, and by artificial intelligence and machine learning.”

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Alation

FEBRUARY 17, 2023

In this blog, I’ll address some of the questions we did not have time to answer live, pulling from both Dr. Reichental’s book as well as my own experience as a data governance leader for 30+ years. Can you have proper data management without establishing a formal data governance program? Where do you govern?

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ODSC - Open Data Science

MAY 24, 2023

Building a Business with a Real-Time Analytics Stack, Streaming ML Without a Data Lake, and Google’s PaLM 2 Building a Pizza Delivery Service with a Real-Time Analytics Stack The best businesses react quickly and with informed decisions. Here’s a use case of how you can use a real-time analytics stack to build a pizza delivery service.

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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. These changes are streamed into Iceberg tables in your data lake.

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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.

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