Alation

SEPTEMBER 7, 2021

According to Entrepreneur , Gartner predicts, “through 2022, only 20% of organizations investing in information governance will succeed in scaling governance for digital business.” This survey result shows that organizations need a method to help them implement Data Governance at scale. Find Trusted Data. Two problems arise.

Data Governance 59

Data Governance Data Scientist Data Quality Data Profiling 59

IBM Journey to AI blog

OCTOBER 12, 2023

To optimize data analytics and AI workloads, organizations need a data store built on an open data lakehouse architecture. This type of architecture combines the performance and usability of a data warehouse with the flexibility and scalability of a data lake. Learn more about IBM watsonx 1.

AI 93

AI AI Data Scientist Data Governance 93

Snorkel AI

JANUARY 11, 2023

Challenge As of 2022, viewers watch, on average, over 700 million hours of YouTube content daily 1. To improve the training data quality (and reduce the number of revision cycles required to translate domain knowledge to a third-party service), the team realized they needed an alternative to hand-labeling data.

Data Warehouse 52

Data Warehouse Natural Language Processing Data Scientist Cloud Data 52

Pickl AI

AUGUST 1, 2023

The primary goal of Data Engineering is to transform raw data into a structured and usable format that can be easily accessed, analyzed, and interpreted by Data Scientists, analysts, and other stakeholders. Future of Data Engineering The Data Engineering market will expand from $18.2

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Alation

AUGUST 11, 2022

The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. Today, the brightest minds in our industry are targeting the massive proliferation of data volumes and the accompanying but hard-to-find value locked within all that data. Architectures became fabrics.

Data Warehouse 52

Data Warehouse Data Engineer Data Engineering Data Engineering 52

Dataversity

FEBRUARY 21, 2022

The topic is widely cited as one of the data trends to watch in 2022 and has sparked numerous debates, comments, and blog posts, including my own. In recent months there has been a great deal of hype about the concept of hyperautomation. Yet although there has been much thinking and talking, the time has come […].

Data Warehouse 52

Data Warehouse Data Quality 52

phData

SEPTEMBER 20, 2023

A data mesh is a conceptual architectural approach for managing data in large organizations. Traditional data management approaches often involve centralizing data in a data warehouse or data lake, leading to challenges like data silos, data ownership issues, and data access and processing bottlenecks.

Data Silos 52

Data Silos Database Data Quality Data Engineer 52

Alation

JANUARY 13, 2022

Data mesh forgoes technology edicts and instead argues for “decentralized data ownership” and the need to treat “data as a product”. Gartner on Data Fabric. Moreover, data catalogs play a central role in both data fabric and data mesh. Let’s turn our attention now to data mesh.

Data Lakes 59

Data Lakes Data Governance Data Quality Data Warehouse 59

AWS Machine Learning Blog

FEBRUARY 28, 2023

In this post, we used Amazon S3 as the input data source for SageMaker Canvas. However, we can also import data into SageMaker Canvas directly from Amazon RedShift and Snowflake—popular enterprise data warehouse services used by many customers to organize their data and popular third-party solutions.

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ML ML AWS Machine Learning 97