The document presents an overview of the big data landscape as of 2016, highlighting various tools and platforms related to ad optimization, analytics, machine learning, and data management. It includes a wide range of applications across different industries, such as finance, healthcare, and education. The content is attributed to Matt Turck, Jim Hao, and FirstMark Capital, with a link to a full blog post for more details.

1. Ad Optimization
Publisher
Tools
Sales & Marketing Customer Service
Finance
Human
Capital
Legal
Govt / Regulation
Security
Education/
Learning
Life Sciences Industries
Vertical AI
Applications
Framework Query / Data Flow Data Access Coordination Machine Learning
DL4J
Search Security
Visualization
Real-Time Stat Tools
YARN
Health IOT Financial & Economic Data Air / Space / Sea Other
Incubators & Schools
Social
Analytics
Location / People / Entities
Data
Services
Search
Statistical
Computing
Log Analytics
Speech & NLPReal-Time
Web / Mobile
/ Commerce
Analytics
Platforms
For Business
Analysts
Data Science
Platforms
BI Platforms
Analyst
Platforms
Visualization
Machine Learning Horizontal AI
NoSQL Databases
Hadoop
On-Premise
Hadoop in
the Cloud
NewSQL Databases
Cluster Services
MPP
Databases
Cloud EDW
Spark
Management
/ Monitoring
Graph
Databases
Crowd-
sourcing
Data
Integration
Data
Transformation
Security Storage App Dev
Infrastructure
Data Sources & APIs
Applications
Open Source
Analytics
Big Data Landscape 2016 (Version 2.0)
© Matt Turck (@mattturck), Jim Hao (@jimrhao), & FirstMark Capital (@firstmarkcap)
Cross-Infrastructure/Analytics
DIMSUM
CNTKCaffe
VELES
Last Updated 2/12/2016

2. Big Data Landscape 2016
(Version 2.0)
See high-resolution version and
full blog post at mattturck.com