analyzing mixpanel data into amazon redshift

Analyzing Mixpanel Data into Amazon

Redshift

How?Define the Data Pipeline

Access & Extract data from Mixpanel

Prepare data

Load data to Amazon Redshift

Who am I?

Kostas PardalisCo-founder & CEO

Blendo.co@KostasPardalis

Why we built Blendo?The Simplest Platform to get and remix your data from any source.

Make your data available anywhere.

Mixpanel?

Mixpanel helps you to easily measure what people are doing in your app on iOS, Android, and web.

Amazon Redshift

How to Analyze Mixpanel Data?

Use the Mixpanel Internal Reports

Write JQL

Load data to a data warehouse for SQL Access

How to Extract data from Mixpanel?

Use Mixpanel’s Export APIhttps://mixpanel.com/docs/api-documentation/data-export-api

Access it with:CURLPostman Apache HttpClient for JavaSpray-client for ScalaHyper for RustRuby rest-clientPython http-client

Use Mixpanel’s Export APIhttps://mixpanel.com/docs/api-documentation/data-export-api

Or Use Mixpanel’s Libraries /SDKsPythonPHPRubyJavascript

Mixpanel API Resources

Annotationsannotations - list the annotations for a specified date range.create - create an annotationupdate - update an annotationdelete - delete an annotation

Exportexport - get a "raw dump" of tracked events over a time period

Mixpanel API ResourcesEventsevents - get total, unique, or average data for a set of events over a time periodtop - get the top events from the last daynames - get the top event names for a time period

Event Propertiesproperties - get total, unique, or average data from a single event propertytop - get the top properties for an eventvalues - get the top values for a single event property

Mixpanel API ResourcesFunnelsfunnels - get data for a set of funnels over a time periodlist - get a list of the names of all the funnels

Segmentationsegmentation - get data for an event, segmented and filtered by properties over a time periodnumeric - get numeric data, divided up into buckets for an event segmented and filtered by properties over a time periodsum - get the sum of a segment's values per time unitaverage - get the average of a segment's values per time unitSegmentation Expressions - a detailed overview of what a segmentation expression consists of

Mixpanel API ResourcesRetentionretention - get data about how often people are coming back (cohort analysis)addiction - get data about how frequently people are performing events

People Analyticsengage - get data from People Analytics Let’s assume that we want to export our raw data from Mixpanel. To do so we’ll need to execute requests to the export endpoint.

Mixpanel API ResourcesLet’s assume that we want to export our raw data from Mixpanel. We’ll need to execute requests to the export endpoint. Eg “a request that would get us back raw events from Mixapanel”

Prepare Mixpanel Data for Amazon Redshift

Prepare Mixpanel Data for Amazon Redshift

• Follow Amazon Redshift Data Model• Map into tables and columns• Adhere to the

datatypes that are supported by Redshift*• Have in mind the best practices that Amazon has

published regarding the design of a Redshift database.

Amazon Redshift is built around industry-standard SQL with added functionality to manage very large datasets and high performance analysis.

* As your data are probably coming in a representation like JSON that supports a much smaller range of data types you have to be really careful about what data you feed into Redshift and make sure that you have mapped your types

Load data from Mixpanel to Amazon Redshift

Put data in a source that Redshift can pull it from

Amazon S3

Amazon DynamoDB

Amazon Kinesis Firehose

Amazon S3

1. Use the AWS REST API

Amazon S3

2. Create a bucketExecute an HTTP PUT on the Amazon AWS REST API endpoints for S3. (Use: CURL or Postman or use the libraries provided by Amazon)*

* You can find more information by reading the API reference for the Bucket operations on Amazon AWS documentation.

Amazon S3

3. Start sending your data to Amazon

S3Use the same AWS REST APIUse the endpoints for Object operations

Amazon DynamoDB

• DynamoDB imports data from S3• Adds another step between S3 and

Amazon Redshift

Amazon Kinesis Firehose

1. Create a delivery stream

2. Add data to the stream

* Whenever you add new data to the stream, Kinesis takes care of adding these data to S3 or Redshift. Going through S3 in this case is redundant if your goal is to move your data to Redshift.

Amazon Kinesis Firehose offers a real time streaming approach into data importing

Use the same AWS REST APIPush by using a Kinesis Agent.

Load data into Redshift #1

INSERT

1. Connect to Amazon Redshift instance with your client, (JDBC or ODBC)

2. Perform an INSERT command for your data.

for more information you can check the INSERT examples page on the Amazon Redshift documentation.

Load data into Redshift #2

COPY

For more examples on how to invoke a COPY command you can check the COPY examples page on Amazon Redshift documentation.

1. Connect to Amazon Redshift instance with your client, (JDBC or ODBC)

2. Perform an COPY command for your data.

An even easier way?

Blendo