IBM Journey to AI blog

APRIL 25, 2023

To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures. Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy. To effectively use raw data, it often needs to be curated within a data warehouse.

Data Warehouse 58

Data Warehouse Data Engineering Data Engineering Data Engineering 58

Tableau

MARCH 29, 2021

March 30, 2021 - 12:07am. March 30, 2021. we’ve added new connectors to help our customers access more data in Azure than ever before: an Azure SQL Database connector and an Azure Data Lake Storage Gen2 connector. Azure Data Lake Storage Gen2. They offer a low-cost, big data storage solution.

Azure 52

Azure Tableau Data Lakes SQL 52

Alation

DECEMBER 14, 2021

Alation recently attended AWS re:invent 2021 … in person! Major shifts around how people use technology and data in the cloud are only just beginning. Re:Invent 2021 Keynote by AWS CEO Adam Selipsky. How do you provide access and connect the right people to the right data? What about other data sources?

AWS 52

AWS Data Lakes Data Warehouse Machine Learning 52

ODSC - Open Data Science

FEBRUARY 24, 2023

Great Expectations provides support for different data backends such as flat file formats, SQL databases, Pandas dataframes and Sparks, and comes with built-in notification and data documentation functionality. You can watch it on demand here.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

IBM Journey to AI blog

AUGUST 1, 2023

Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data. The term “foundation model” was coined by the Stanford Institute for Human-Centered Artificial Intelligence in 2021. All watsonx.ai

AI 70

AI AI Machine Learning Machine Learning 70

Pickl AI

NOVEMBER 4, 2024

Role of Data Engineers in the Data Ecosystem Data Engineers play a crucial role in the data ecosystem by bridging the gap between raw data and actionable insights. They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Alation

NOVEMBER 2, 2022

We had not seen that in the broader intelligence & data governance market.”. Right now, it’s probably not a secret that the amount and the pace of financings – if you compare 2022 to 2021 – is night and day,” he continues. “It The lakehouse] helps businesses really harness the power of data and analytics and AI.

Data Governance 98

Data Governance Data Lakes Data Warehouse Analytics 98

Women in Big Data

NOVEMBER 8, 2023

I have been working at Databricks since 2021, where I lead the Sales Development Team in Central Europe. At Databricks, we provide a cloud-based data platform that empowers data teams to generate analytics and insights while facilitating the development of machine learning tools.

Big Data 52

Big Data Big Data Data Lakes Data Warehouse 52

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. Not a cloud computer?

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Data Lakes AI AI Cloud Computing 40

AWS Machine Learning Blog

NOVEMBER 1, 2024

For instance, in 2021, we saw a significant increase in awareness of clinical research studies seeking volunteers, which was reported at 63% compared to 54% in 2019 by Applied Clinical Trials. Instead, a core component of decentralized clinical trials is a secure, scalable data infrastructure with strong data analytics capabilities.

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AWS Data Lakes Machine Learning Machine Learning 111