Data Lakes Daily

Cloud Data Lake or Warehouse Cloud Data Lake Best Practices: Data Lake vs. Data Warehouse Why an open, flexible, and agile data lake architecture makes a difference between success or swamp Before we jump into best practices around lake formation , architecture, analytics, and other aspects of data lakes, we need to baseline precisely “ what is a data lake ?” As we have detailed in a prior post, there are numerous misconceptions and myths about data lakes . To set a baseline, this is how Pentaho co-founder and CTO, James Dixon who coined the term, frames it; This situation is similar to the way that old school business intelligence and analytic applications were built. End users listed out the questions they want to ask of the data, the attributes necessary to answer those questions were skimmed from the data stream, and bulk loaded into a data mart. This method works fine until you have a new question to ask. The Data Lake approach solves this problem. You store all of the dat

Brand Loyalty Helping shoppers discover, engage, and repeat purchases with your brand As an Amazon Seller or Vendor, the number of sales you make in a day is critical. However, a key to sales success is also about building brand loyalty. If all you are getting is one-and-done sales, the path to long term growth and profitability is going to be expensive and complex. The lowest acquisition costs are when you have customers that want to keep coming back! According to a Profitero report on brand loyalty; Consumers are switching both brands and behaviors by category due to lack of product availability. We found the rate of consumers switching away from their traditionally bought brands (typically large brands) grew by 75% to as high as 127% between January and April. This has major implications for brands, and changes decades of assumptions about customer lifetime value, and customer acquisition. ( see report ) How is your brand loyalty trending? Fostering brand loyalty with Amazo

Sponsored Display Sellers & Vendors can extend advertising efforts to new audiences on and off Amazon Amazon Advertising, formerly called Amazon Media Group (AMG), Amazon Marketing Services (AMS), and Amazon Advertising Platform (AAP), launched an advertising service called Sponsored Display . The service is currently in beta. What is Sponsored Display? Sponsored Display is a new self-service advertising solution that will help sellers reach relevant audiences on and off Amazon. With the new product beta, the Amazon Advertising API also supports Sponsored Display data feeds. The service provides performance data for campaigns that reach shoppers off Amazon, users who visited a product detail page or detail pages of similar products, but didn’t make a purchase. Why Sponsored Display? According to Amazon, there are three primary reasons you want to consider using the new advertising service; Reach the right audiences : Audiences are automatically created based on Amazon sh

If you read about data lakes, you will often come across a post, guide, documentation, or tweet that will describe setting up a data lake as creating an AWS S3 bucket, some paths, and then dropping files in. Voilà, you have a data lake! Not really. Does a data lake have to be complex to set up? No! However, with a lake formation process employed by AWS, GCP, and Azure you can get up and running more quickly. In this post, we are focused on the AWS cloud, though many concepts will transcend an AWS deployment to GCP or Azure. Data Lake vs. Data Warehouse vs. Data Mart Before we jump into lake formation, we need to baseline what, precisely, we are forming. As we have detailed in a prior post, there are numerous misconceptions and myths about data lakes . This is how Pentaho co-founder and CTO, James Dixon who coined the term data lake, frames it; This situation is similar to the way that old school business intelligence and analytic applications were built. End users listed out the