Episode 296: JSJ 293: Big Data with Nishant Thacker
JavaScript Jabber
English - December 28, 2017 04:00 - 34 minutes - 31.8 MB - ★★★★ - 56 ratingsHow To Education Technology javascript programming browser internet web programmer developer framework front end node Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Panel:
Charles Max Wood
Special Guests: Nishant Thacker
In this episode, JavaScript Jabber speaks with Nishant Thacker. Nishant is the technical product manager for all things big data at Microsoft. Nishant mentions the many new technologies and announcements he is in-charge of at Microsoft.
Nishant is on the show to talk about Big Data and gives advice on how to process data and acquire deep insight of your customers. This is a great episode to understand the development of data systems that are the backbone of some marketing tools.
In particular, we dive pretty deep on:
Processing Metrics
Processing into report and usable information
Data lake
Collecting data points
Creating and maintaining the data lake in its raw form
Scale up engines and limits
Commodity machines and leverage
Big data means to scale out
Specialized engines for audio and video files
How to have a cohesive report?
Writing and Querying across data
Storing raw data and retrieve data
Data cluster
What does the data box look like?
And much more!
Links:
https://www.linkedin.com/in/nishantthacker
@nishantthacker
Picks:
Nishant
Robot I
Charles
Zoom H6
Shure SM 58
Lavalier Mics
Special Guest: Nishant Thacker.
Panel:
Charles Max Wood
Special Guests: Nishant Thacker
In this episode, JavaScript Jabber speaks with Nishant Thacker. Nishant is the technical product manager for all things big data at Microsoft. Nishant mentions the many new technologies and announcements he is in-charge of at Microsoft.
Nishant is on the show to talk about Big Data and gives advice on how to process data and acquire deep insight of your customers. This is a great episode to understand the development of data systems that are the backbone of some marketing tools.
In particular, we dive pretty deep on:
Processing Metrics
Processing into report and usable information
Data lake
Collecting data points
Creating and maintaining the data lake in its raw form
Scale up engines and limits
Commodity machines and leverage
Big data means to scale out
Specialized engines for audio and video files
How to have a cohesive report?
Writing and Querying across data
Storing raw data and retrieve data
Data cluster
What does the data box look like?
And much more!
Links:
https://www.linkedin.com/in/nishantthacker
@nishantthacker
Picks:
Nishant
Robot I
Charles
Zoom H6
Shure SM 58
Lavalier Mics
Special Guest: Nishant Thacker.