Big Data How Netflix Built Their Data Pipeline with Amazon Redshift Netflix The data infrastructure at Netflix is certainly one of the most complex ones, having in mind that they serve over 550 billion events per day, equaling roughly to 1.3... Donal Tobin Read More
Big Data How Clearbit Built Their Data Pipeline with Amazon Redshift Clearbit Clearbit was a rapidly growing, early-stage startup when it started thinking of expanding its data infrastructure and analytics. After trying out a few out-of-the-box analytics tools (and each of... Donal Tobin Read More
Big Data How Dollar Shave Club Built Their Data Pipeline with Amazon Redshift Dollar Shave Club Dollar Shave Club (DSC) is a lifestyle brand and e-commerce company that’s revolutionizing the bathroom by inventing smart, affordable products. Don’t be fooled by their name, they... Donal Tobin Read More
Big Data Query S3 Data from Redshift AWS has bridged the gap between Redshift and S3. In this article, we will show you how to execute SQL queries on CSV files that are stored in S3 using... Mark Smallcombe Read More
Big Data How Robinhood Built Their Data Pipeline with Amazon Redshift Robinhood Robinhood is a stock brokerage application that democratizes access to the financial markets, which enables its customers to buy and sell U.S. listed stocks and ETFs with zero commission.... Donal Tobin Read More
Big Data Three Things to Consider When Making Investments in your Big Data Infrastructure Let’s go over what you need to consider when making the necessary technological investments to support your data infrastructure. Donal Tobin Read More
Big Data A Brief History of Data Analysis Let's take a short journey together through the history of data analysis. Mark Smallcombe Read More
Big Data Amazon Redshift Training: 3 Keys to Building a Stable Data Pipeline Introduction When you’re building or improving your data pipeline, batch data processing seems simple. Pull data from a source, apply some business logic to it, and load it for later... Mark Smallcombe Read More