Abstract Modern ETL tools should be capable of extracting data from different sources like RDBMS, Flat files, Cloud Data-Stores, Data Lakes, Warehouses etc. and should smoothly build integration between them. Data transformations or pre-processing tasks have become complex because of variety of data often in semi-structured or un-structured form. Data pre-processing tasks are now preparing […]
Alteryx : A Brief Introduction Read More »
Introduction In this topic we are using AWS resources to ingest and visualize NYC taxi sample data. This lab guides you in the process of creating AWS Lambda trigger and use of data wrangler for ingest data. As you walk through the topic you will gradually get introduced to Amazon Redshift, AWS Data wrangler, AWS
Incremental Load to Redshift using AWS Lambda Read More »
1. INTRODUCTION 1.1 Amazon Redshift Amazon Redshift data warehouse is an enterprise-class relational database query and management system. Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. Amazon Redshift offers fast query performance using the
Matillion & Redshift Integration Capabilities Read More »
Enterprise data needs change constantly but at an inconsistent rate, and in recent years change has come at an increasing rate. Tools once considered useful for big data applications are no longer sufficient. Development in other IT areas such as IoT, geolocation, etc. have changed the way data was collected, stored, distributed, processed and analyzed.
Big Data to Big & Fast Data Read More »
