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. In her free time, she likes to go for long runs along the beach.

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Precisely

MARCH 10, 2023

At the same time, IoT devices, web analytics, social media, and interconnected systems generate higher volumes of data than ever before. Think back to the early 2000s, a time of big data warehouses with rigid structures. There was a massive expansion of efforts to design and deploy big data technologies.

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ODSC - Open Data Science

OCTOBER 7, 2024

And before the hackathon starts, make sure to begin your journey with NVIDIA’s exclusive webinar. Outerbounds: Perfect for data scientists who design, test, and deploy machine learning applications, Outerbounds simplifies this process while scaling for production.

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IBM Journey to AI blog

NOVEMBER 3, 2023

When you make it easier to work with events, other users like analysts and data engineers can start gaining real-time insights and work with datasets when it matters most. As a result, you reduce the skills barrier and increase your speed of data processing by preventing important information from getting stuck in a data warehouse.

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IBM Journey to AI blog

OCTOBER 2, 2024

These products are curated with key attributes such as business domain, access level, delivery methods, recommended usage and data contracts. It empowers users of data lakehouses and data warehouses to package their data assets as data products, simplifying data sharing and access.

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Alation

AUGUST 11, 2021

To answer this question, I recently joined Anthony Seraphim of Texas Mutual Insurance Company (TMIC) and David Stodder of TDWI on a webinar. The three of us talked migration strategy and the best way to move to the Snowflake Data Cloud. This underscores the importance of having a plan that fits your data strategy.

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Tableau

DECEMBER 7, 2022

Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. Salesforce Data Cloud for Tableau solves those challenges.

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Tableau

MARCH 9, 2021

They also adapted to all-digital engagement by hosting webinars, digital meetups, and Tableau Days to bring the power of Tableau to potential customers in new ways, passing >400 leads to Tableau which created a multi-million dollar pipeline. Congratulations Accenture EMEA! Technology Partner of the Year: Snowflake.

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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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Alation

JUNE 14, 2023

Every organization wants to better serve its customers, and that goal is often achieved through data. 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

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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. She speaks in internal and external conferences such re:Invent, Women in Manufacturing West, YouTube webinars and GHC 23. In her free time, she likes to go for long runs along the beach.

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Alation

APRIL 25, 2023

This reduces wait time, conserves resources, and allows you to put that data to work for your business faster. Data Extraction If you choose to maintain ownership of your data, you’ll need a way to transfer it from your central data warehouse to the operational tool that’ll help put it to use. Keen to learn more?

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Dataconomy

MARCH 24, 2023

They may also be involved in data modeling and database design. BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. They may also be involved in data integration and data quality assurance.

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Dataconomy

MARCH 24, 2023

They may also be involved in data modeling and database design. BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. They may also be involved in data integration and data quality assurance.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

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.

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Alation

FEBRUARY 20, 2020

“Enterprises are… turning to data catalogs to democratize access to data, enable tribal data knowledge to curate information, apply data policies, and activate all data for business value quickly.”. In a recent webinar,“ Ready for a Machine Learning Data Catalog?

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Pickl AI

APRIL 26, 2024

Data Warehousing and ETL Processes What is a data warehouse, and why is it important? A data warehouse is a centralised repository that consolidates data from various sources for reporting and analysis. It is essential to provide a unified data view and enable business intelligence and analytics.

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Pickl AI

JULY 3, 2023

Participate in webinars, attend conferences, and join relevant professional communities. Build a portfolio: Develop a portfolio of BI projects that showcase your skills and demonstrate your ability to deliver actionable insights through effective data visualization and reporting.

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Business Intelligence Business Intelligence SQL Data Visualization 52

Alation

APRIL 25, 2023

This reduces wait time, conserves resources, and allows you to put that data to work for your business faster. Data Extraction If you choose to maintain ownership of your data, you’ll need a way to transfer it from your central data warehouse to the operational tool that’ll help put it to use. Keen to learn more?

Data Governance 40

Data Governance ETL Machine Learning Natural Language Processing 40

Pickl AI

SEPTEMBER 5, 2024

The platform’s integration with Azure services ensures a scalable and secure environment for Data Science projects. Azure Synapse Analytics Previously known as Azure SQL Data Warehouse , Azure Synapse Analytics offers a limitless analytics service that combines big data and data warehousing.

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Alation

JANUARY 25, 2022

Indeed, the foundation of your data architecture and strategy – and thus your business strategy – begins with choosing the best data catalog to support your business. But how do you go about selecting the right data catalog? These two resources can help you get started: White paper: How to Evaluate a Data Catalog.

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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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