- Qlikview Online Training – https://www.youtube.com/watch?v=Ef_BigFXCis
- QlikView Basics – https://www.youtube.com/playlist?list=PL6_D9USWkG1DNfoH_urghaL35Ux1g3Zx1
- QlikView Developer Tutorial – https://www.youtube.com/playlist?list=PLW1uf5CQ_gSp0C_BrM1El55eaqHbkoq1i
- Free QlikView Designer Training – Beginner – https://www.youtube.com/playlist?list=PL65050F15B53C5A01
- QlikView 101 – https://www.youtube.com/playlist?list=PLW1uf5CQ_gSqKKB-aOnEd8iSwlX1XkTwx
- Qlikview complete tutorial – https://www.youtube.com/playlist?list=PL6_D9USWkG1DNfoH_urghaL35Ux1g3Zx1
Nathan Marz came up with the term Lambda Architecture (LA) for a generic, scalable and fault-tolerant data processing architecture, based on his experience working on distributed data processing systems at Backtype and Twitter. Read more here.
Wiki says – Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch- and stream-processing methods. This approach to architecture attempts to balance latency, throughput, and fault-tolerance by using batch processing to provide comprehensive and accurate views of batch data, while simultaneously using real-time stream processing to provide views of online data. The two view outputs may be joined before presentation. The rise of lambda architecture is correlated with the growth of big data, real-time analytics, and the drive to mitigate the latencies of map-reduce.
Read more here.
Here is my recent Python and Data Analysis session slides:
Here is a well drawn map explaining Data Mining concepts.
Click each node to go deep.
“Deep learning is a set of algorithms in machine learning that attempt to model high-level abstractions in data by using architectures composed of multiple non-linear transformations.”
By Jeffrey Stanton, Syracuse University
Download URL here