Alation

FEBRUARY 13, 2020

Supplier metadata is especially important for data acquired from external sources, informing about sources and subscription or licensing constraints. I’ll dive deeper into catalog metadata in an upcoming blog. What is a Data Catalog? What Does a Data Catalog Do? Benefits of a Data Catalog. Conclusion.

Data Lakes 64

Data Lakes Data Analysis Data Analysis Big Data 64

Alation

FEBRUARY 13, 2020

In a recent blog, titled Collaboration and Crowdsourcing with Data Cataloging , I discussed the importance of participation by all data stakeholders as a key to getting maximum value from your data catalog. Their tendency is to do just enough data work to get by, and to do that work primarily in Excel spreadsheets.

Data Governance 52

Data Governance Data Analysis Data Analysis Data Preparation 52

Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. Data Preparation: Cleaning, transforming, and preparing data for analysis and modelling.

Azure 52

Azure Data Scientist Machine Learning Machine Learning 52

IBM Journey to AI blog

DECEMBER 7, 2023

Today, OLAP database systems have become comprehensive and integrated data analytics platforms, addressing the diverse needs of modern businesses. They are seamlessly integrated with cloud-based data warehouses, facilitating the collection, storage and analysis of data from various sources.

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Data Preparation Database AI AI 87

IBM Journey to AI blog

JULY 24, 2024

By providing access to a wider pool of trusted data, it enhances the relevance and precision of AI models, accelerating innovation in these areas. Optimizing performance with fit-for-purpose query engines In the realm of data management, the diverse nature of data workloads demands a flexible approach to query processing.

Data Governance 79

Data Governance Data Warehouse AI AI 79

phData

SEPTEMBER 25, 2024

Under this category, tools with pre-built connectors for popular data sources and visual tools for data transformation are better choices. Fivetran is a data integration platform that helps businesses move data from various sources to various destinations, such as data warehouses, databases, or cloud storage.

ETL 52

ETL Database Data Warehouse Analytics 52

IBM Journey to AI blog

MAY 9, 2023

It offers its users advanced machine learning, data management , and generative AI capabilities to train, validate, tune and deploy AI systems across the business with speed, trusted data, and governance. It helps facilitate the entire data and AI lifecycle, from data preparation to model development, deployment and monitoring.

AI 111

AI AI Data Warehouse Machine Learning 111

Alation

FEBRUARY 20, 2020

It’s no longer enough to build the data warehouse. Dave Wells, analyst with the Eckerson Group suggests that realizing the promise of the data warehouse requires a paradigm shift in the way we think about data along with a change in how we access and use it. The post Shopping for Data appeared first on Alation.

Data Warehouse 52

Data Warehouse Data Lakes Hadoop Data Preparation 52

IBM Journey to AI blog

JULY 17, 2023

In this blog, I will cover: What is watsonx.ai? sales conversation summaries, insurance coverage, meeting transcripts, contract information) Generate: Generate text content for a specific purpose, such as marketing campaigns, job descriptions, blogs or articles, and email drafting support. What capabilities are included in watsonx.ai?

AI 75

AI AI Machine Learning Machine Learning 75

Flipboard

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. After you finish data preparation, you can use SageMaker Data Wrangler to export features to SageMaker Feature Store.

ML 93

ML ML AWS Data Warehouse 93

IBM Journey to AI blog

MARCH 14, 2024

. With Db2 Warehouse’s fully managed cloud deployment on AWS, enjoy no overhead, indexing, or tuning and automated maintenance. Integrated solutions for zero-ETL data preparation: IBM databases on AWS offer integrated solutions that eliminate the need for ETL processes in data preparation for AI.

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AWS Machine Learning Blog

APRIL 16, 2024

Create an Amazon Redshift connection Amazon Redshift is a fully managed, petabyte-scale data warehouse service that simplifies and reduces the cost of analyzing all your data using standard SQL. He is focused on building interactive ML solutions which simplify data processing and data preparation journeys.

SQL 93

SQL AWS Database Data Scientist 93

The MLOps Blog

OCTOBER 20, 2023

Placing functions for plotting, data loading, data preparation, and implementations of evaluation metrics in plain Python modules keeps a Jupyter notebook focused on the exploratory analysis | Source: Author Using SQL directly in Jupyter cells There are some cases in which data is not in memory (e.g.,

SQL 52

SQL Database Data Scientist Python 52

Alation

FEBRUARY 20, 2020

In 2016, people will realize the importance of scaling the generation of insights in parallel with the data – and finally have the ability to manage sprawl and realize new levels of insights from the data. 2016 will be the year of the “logical data warehouse.” Subscribe to Alation's Blog.

Data Warehouse 52

Data Warehouse Hadoop Data Science ETL 52

AWS Machine Learning Blog

SEPTEMBER 18, 2024

Hosted on Amazon ECS with tasks run on Fargate, this platform streamlines the end-to-end ML workflow, from data ingestion to model deployment. This blog post delves into the details of this MLOps platform, exploring how the integration of these tools facilitates a more efficient and scalable approach to managing ML projects.

AWS 95

AWS Machine Learning Machine Learning ML 95

Alation

FEBRUARY 20, 2020

We recently announced an integration with Trifacta to seamlessly integrate the Alation Data Catalog with self-service data prep applications to help you solve this issue. Bringing best of breed self-service data preparation together with data cataloging is a natural combination.

Data Lakes 40

Data Lakes ETL Data Analyst Data Preparation 40

Alation

FEBRUARY 13, 2020

In his research report, From out of nowhere: the unstoppable rise of the data catalog 5, Analyst Matt Aslett makes a strong case for data catalog adoption calling it the “most important data management breakthrough to have emerged in the last decade.”. Subscribe to Alation's Blog. Duncan, December 13, 2017.

Data Governance 52

Data Governance Machine Learning Machine Learning Analytics 52