View profile

SF Data Weekly - Kafka Transactions, ETL with Python, Redshift Warehouses, DataWorks Summit

Revue
 
 
November 20 · Issue #42 · View online
SF Data Weekly
Our Pick
Simpler and Faster Data Analytics
Data Pipelines
Transactions in Apache Kafka
The new components added to Kafka - Transaction Coordinator and Log.
Extract, Transform and Load (ETL) with Python
How to Build a Data Science Pipeline
The data flow in a data science pipeline in production.
Data Storage
Create a Secure Amazon Redshift Data Warehouse
Loading data across accounts is best done through another segregated account.
What It Means to Be a Postgres Extension
Data Analysis
Data Engineers Will Be More Important Than Data Scientists
Essential Algorithms Every ML Engineer Needs to Know
Deep neural networks are behind the hype in AI.
Data Visualization
Plot Data from Amazon Redshift
An example Plotly interactive plot of data stored in Redshift.
Data-driven Products
7 Sessions From DataWorks Summit Sydney You Should See
Did you enjoy this issue?
Thumbs up 1ae5a7bdfcd3220e2b376aa0c1607bc5edaba758e5dd83b482d03965219a220b Thumbs down e13779fa29e2935b47488fb8f82977fedcf689a0cc0cc3c19fa3c6bb14d1493b
If you don't want these updates anymore, please unsubscribe here
If you were forwarded this newsletter and you like it, you can subscribe here
Powered by Revue
650 California St., San Francisco, CA 94108