What are the major bottlenecks in making deep learning systems more effective (as of 2016)?
A Neural Network for Machine Translation, at Production Scale
Amazon's new GPU-cloud wants to chew through your AI and big data projects
Sentimental Analysis of the First Presidential Debate of 2016 Using Machine Learning
A Beginner's Guide to Apache Flink – 12 Key Terms, Explained
Announcing YouTube-8M: A Large and Diverse Labeled Video Dataset for Video Understanding Research
Showing posts with label YouTube. Show all posts
Showing posts with label YouTube. Show all posts
Saturday, October 1, 2016
Recent Big Data and Machine Learning Info Digest 2016/10/01
Labels:
AI,
Amazon,
Big Data,
Cloud,
Deep Learning,
GPU,
Hillary,
Machine Learning,
Presidential Debate,
Quora,
TensorFlow,
Translation,
Trump,
YouTube
Thursday, January 24, 2013
Oracle and Big Data
When people talk about Oracle, they first think about its RDBMS (relational database). After Oracle acquired so many companies including BEA and Sun, people know about its Java and Weblogic. So where is Oracle's Big Data product?
On its own site, Oracle provides the information about its products to help customers acquire and organize big data and analyze them alongside customers' existing data to find new insights and make better business decision. Oracle's Big Data platform provides end-to-end solution - all the components the customers need to get real results from their big data initiatives.
Acquire Big Data
Making the most of big data means quickly analyzing a high volume of data generated in many different formats. Oracle offers a range of products for acquiring all your data including:
Oracle NoSQL Database
Oracle Database
Organize Big Data
A big data platform needs to process massive quantities of data in batch and in parallel—filtering, transforming and sorting it before loading it into an enterprise data warehouse. Oracle offers a choice of products for organizing big data including:
Oracle Big Data Appliance
Oracle Data Integrator
Oracle Big Data Connectors
Analyze Big Data
Analyzing big data within the context of all your other enterprise data can reveal new insights that can have a significant impact on your bottom line. Oracle offers a portfolio of tools for statistical and advanced analysis that complement Oracle Exadata, including:
Oracle Advanced Analytics
Oracle Exadata Database Machine
Oracle Data Warehousing
Oracle Exalytics In-Memory Machine
You can watch the Oracle Bigdata Videos on YouTube:
Also, you can read this Oracle White Paper - Oracle Information Architecture: An Architect's Guide to Big Data.
On its own site, Oracle provides the information about its products to help customers acquire and organize big data and analyze them alongside customers' existing data to find new insights and make better business decision. Oracle's Big Data platform provides end-to-end solution - all the components the customers need to get real results from their big data initiatives.
Acquire Big Data
Making the most of big data means quickly analyzing a high volume of data generated in many different formats. Oracle offers a range of products for acquiring all your data including:
Oracle NoSQL Database
Oracle Database
Organize Big Data
A big data platform needs to process massive quantities of data in batch and in parallel—filtering, transforming and sorting it before loading it into an enterprise data warehouse. Oracle offers a choice of products for organizing big data including:
Oracle Big Data Appliance
Oracle Data Integrator
Oracle Big Data Connectors
Analyze Big Data
Analyzing big data within the context of all your other enterprise data can reveal new insights that can have a significant impact on your bottom line. Oracle offers a portfolio of tools for statistical and advanced analysis that complement Oracle Exadata, including:
Oracle Advanced Analytics
Oracle Exadata Database Machine
Oracle Data Warehousing
Oracle Exalytics In-Memory Machine
You can watch the Oracle Bigdata Videos on YouTube:
Also, you can read this Oracle White Paper - Oracle Information Architecture: An Architect's Guide to Big Data.
Subscribe to:
Posts (Atom)