Redshift Data Warehouse

https://app.pluralsight.com/library/courses/amazon-redshift-data-warehouse/table-of-contents

Redshift Spectrum

http://docs.aws.amazon.com/redshift/latest/dg/c-getting-started-using-spectrum-query-s3-data.html



Dabbling with Redshift Spectrum

Keep your larger fact tables in Amazon S3 and your smaller dimension tables in Amazon Redshift, as a best practice. If you loaded the sample data in Getting Started with Amazon Redshift, you have a table named EVENT in your database. If not, create the EVENT table by using the following command.


Amazon Redshift uses massively parallel processing (MPP) to achieve fast execution of complex queries operating on large amounts of data. Redshift Spectrum extends the same principle to query external data, using multiple Redshift Spectrum instances as needed to scan files. Place the files in a separate folder for each table.

Big Data

http://www.tableau.com/solutions/sql-server-reporting

http://www.bigsql.org/se/architecture.jsp

http://www.tpostgres.org/se/

Data Science

http://www.wzchen.com/data-science-books

http://www.sec.gov/Archives/edgar/data/1447599/000119312515176980/d875679ds1.htm

http://www.quora.com/What-tools-do-data-scientists-use

http://techcrunch.com/2015/06/15/ibm-pours-researchers-and-resources-into-apache-spark-project/

http://www.slideshare.net/JeffMagnusson/qcon-sf-netflix-hadoop-platform-as-a-service

http://www.huffingtonpost.com/2013/08/01/netflix-profiles_n_3685876.html

splunk with mysql

Aws Big Data

http://www.michael-noll.com/blog/2013/03/17/reading-and-writing-avro-files-from-the-command-line/#json-to-binary-avro

http://blog.cloudera.com/blog/2011/05/three-reasons-why-apache-avro-data-serialization-is-a-good-choice-for-openrtb/

https://www.youtube.com/watch?v=9zpKPivMkS0

http://azure.microsoft.com/en-us/documentation/articles/hdinsight-dotnet-avro-serialization/

http://www.spark-stack.org/getting-started/

http://www.networkworld.com/article/2932313/cloud-computing/how-amazon-s-dynamodb-helped-reinvent-databases.html?page=2

https://snowulf.com/2015/08/05/tutorial-aws-api-gateway-to-lambda-to-dynamodb/

https://aws.amazon.com/blogs/aws/category/amazon-dynamo-db/page/2/

https://aws.amazon.com/blogs/aws/amazon-dynamodb-libraries-mappers-and-mock-implementations-galore/

Library:

http://dynastyjs.com/#

Good Video

Amazon DynamoDB Design Patterns for Ultra-High Performance Apps

https://www.youtube.com/watch?t=5&v=Dh8kp1AcRg0

Big Data on Amazon Web Services

http://www.pluralsight.com/courses/big-data-amazon-web-services

Tableau

http://www.tableau.com/solutions/amazon-redshift

https://www.quora.com/What-is-the-difference-between-storage-S3-and-database-DynamoDB-on-AWS

https://en.wikipedia.org/wiki/Apache_Avro

http://docs.aws.amazon.com/redshift/latest/dg/r_COPY_command_examples.html#r_COPY_command_examples-copy-from-avro

http://docs.aws.amazon.com/redshift/latest/dg/r_CREATE_FUNCTION.html

http://stackoverflow.com/questions/26100988/how-can-i-import-nested-json-data-into-multiple-connected-redshift-subtables

http://snowplowanalytics.com/blog/2013/11/20/loading-json-data-into-redshift/

RedShift

1. cluster

http://www.slideshare.net/JieLi4/amazon-redshift-at-pinterest

http://snowplowanalytics.com/blog/2013/02/20/transferring-data-from-s3-to-redshift-at-the-command-line/

Kinesis

https://www.youtube.com/watch?v=NIa33ZwFa8E

https://en.wikipedia.org/wiki/Lambda_architecture

https://flume.apache.org/index.html

http://kafka.apache.org/

https://www.elastic.co/products/logstash

https://www.linkedin.com/in/pedrosalgado/

http://www.slideshare.net/JieLi4/amazon-redshift-at-pinterest?related=2