Create a Database

The first thing that we need to do is to create a database. This is easy. We login into the Snowflake platform and we go to Databases.

In this tutorial, we will show you how to create several tables in Redshift Spectrum from data stored in S3. Finally, we will perform queries on the tables that we have created. Note that Redshift Spectrum is similar to Athena, since both services are for running SQL queries on S3 data.

Redshift Service

The first thing that we need to do is to go to Amazon Redshift and create a cluster. In my case, the Redshift cluster is running.

Let’s see how to create an EMR Cluster on AWS. Assuming that you have the required access (IAM Roles) we follow the next steps.

Once you have logged in to the console, you can go to the services and search for EMR.

Once you click on the EMR, you can click on the “Create cluster“.

We have provided an example of How to Query S3 Objects With S3 Select via console. In this post, we will show you how you can filter large data files using the S3 Select via the Boto3 SDK.

Scenario

Assume that we have a large file (can be csv, txt, gzip, json etc) stored in S3, and we want to filter it based on some criteria. For example, we want to get specific rows or/and specific columns. Let’s see how we can do it with S3 Select using Boto3.

We will work with the iris.csv file which is in gpipis-iris-dataset bucket…

We have provided examples of how to interact with S3 using AWS CLI. In this post, we will show how we can synchronize our local directory with S3. Assume that in our local directory we have the following files.

• file_1.txt
• file_2.txt
• file_4.txt

We will provide a walk-through tutorial of the “Data Science Pipeline” that can be used as a guide for Data Science Projects. We will consider the following phases:

1. Data Collection/Curation
2. Data Management/Representation
3. Exploratory Data Analysis
4. Hypothesis Testing and Machine Learning
5. Communication of insights attened

For this project, we will consider a supervised machine learning problem, and more particularly a regression model.

The Regression models involve the following components:

• The unknown parameters are often denoted as a scalar or vector β.
• The independent variables, which are observed in data and are often denoted as a vector Xi
• The dependent variable, which…

Introduction

We can analyze different scientific studies that address the same question by applying a meta-analysis. The assumption is that every individual study contains some degree of error. For example, a study could be the mortality rate of two treatments for a specific disease. The goal is to obtain pooled summary estimates from individual studies by taking into consideration the heterogeneity among individual studies. The aggregated data from the individual studies leads to higher statistical power.

Procedure

• Define the research question
• Define inclusion/exclusion criteria for individual studies screened
• Search literature
• Select eligible studies
• Collect data
• Aggregate findings across studies and obtain pooled…