Thursday, August 6, 2020

Getting value from a data lake

 
AI, Analytics and Big Data Digest

Artificial intelligence, BI and data management content from TechTarget |August 06, 2020

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Subsurface event reveals what lies below the cloud data lake

by Sean Michael Kerner, Contributor
Users at the Dremio-sponsored Subsurface virtual conference detail data lake efforts and trends, including the emerging Apache Iceberg project, originally created by Netflix.
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20 top BI tools and how to choose the right one

To help you buy the right BI tool for your data analysis needs, here's a look at 20 leading technologies, the different types of BI software and key features to look for.

 
Rockset updates real-time indexing cloud database
Technology based on the open source RocksDB project is helping cloud database vendor Rockset improve scalability for real-time data applications that don't benefit from data lakes.
 

Python exploratory data analysis and why it's important

Exploratory data analysis is a key step to building the best models to gain insight from your data. Read on to see how Python can be a useful tool in this process.

 
Applications of generative adversarial networks hold promise
Generative adversarial networks are tied to fake online content known as 'deepfakes,' but GANs can help data-poor enterprises supplement their data needs.
EXPERT ADVICE
 

Why more employees need data literacy skills

Encouraging employees to learn data literacy skills can benefit any enterprise. Read on for some of the benefits and resources to take advantage of in building those skills.

 
Immuta adds automated data governance for Databricks
Immuta has extended its data governance with new features that help enterprises with data privacy compliance for Databricks Unified Data Analytics Platform workloads.
 
Prescriptive analytics in healthcare finds use amidst pandemic
Prescriptive analytics can provide organizations with actionable plans based on their gathered data and assist during a pandemic as well as in a post-pandemic world.
 

Important resources in a data scientist education

There are plenty of resources for data science learning for people entering the field all the way up to managers. Read on for key resources and an excerpt from a new book on data science skills.

 
Salesforce's AI-powered Einstein Call Coaching now available
Salesforce's Einstein Call Coaching has moved out of pilot testing, during which a steel building manufacturer saw a 60% reduction in time spent manually analyzing customer calls.
 
Autoencoders' example uses augment data for machine learning
Autoencoders are neural networks that serve machine learning models -- from denoising to dimensionality reduction. Seven use cases explore the practical application of autoencoder technology.
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