Data Lakes Daily

BigQuery’s distributed query engine extends support for multi-cloud data lakes Google Cloud released BigQuery Omni, a service that provides a federated query engine that can query the contents of data lakes on AWS and Azure. Unlike query engine offerings from AWS or Azure, the BigQuery Omni service fully embraces multi-cloud with a serverless SQL query engine than can execute queries across different cloud data lakes. If you are asking yourself “ What is a data lake ?” we cover the architecture, value, and best practices on our site. The first release focuses on Amazon Web Services while a subsequent release supports Azure. BigQuery Omni, Anthos & Dremel Rather than run the full-stack of BigQuery resources in Google Cloud, Google “localizes” its Dremel engine compute resources to the AWS or Azure cloud it is running on. Doing solves a few technical hurdles, but also some significant cost implications. For example, let’s say that Google said that data resident in AWS S3 need

The use of video by Amazon sellers can have a significant impact on product sales. Kissmetrics reported visitors are 64–85% more likely to buy a product on an online retail site after watching a video. While Amazon Sellers can include video content as part of their listings, they can also use video in paid advertising. Why paid video ads? Extending the reach of your content can amplify the impact video can have on sales growth. If you want to extend the reach of your video content, you can leverage Amazon Video Ads to give your content a boost. What are Amazon Video Ads? Amazon Sponsored Video Ads allow advertisers to reach Amazon customers with targeted videos on Amazon’s sites, apps, and Fire tablets. Amazon offers a number of placement options to boost video views and engagement; Home Page — Desktop — 300 x 250 Home Page — Smartphones (Below the Fold) — 300 x 250 Home Page — Tablet Shopping App — 300 x 250 Detail Page — Smartphones — 414 x 125 Detail Page — Desktop — 970

Code-free, fully-automated data feeds from the Amazon Advertising DSP API to turbocharge advertiser performance insights Amazon Advertising DSP is a demand-side platform that allows advertisers to buy display, video, and audio ads on and off Amazon at scale. Advertisers can programmatically reach audiences across the web on both Amazon sites and apps using Amazon’s demand-side platform (DSP). In addition to Amazon properties, the platform supports a collection of publishing partners and third-party exchanges. If you are unfamiliar with the Amazon service you can learn more about it here: Amazon DSP (Demand Side Platform) So how are high-performing advertisers using Amazon DSP to drive performance insights and optimization? By taking advantage of an essential resource available to them,  data . This data includes information on audiences, campaigns, costs, creatives, placements, and many others critical for helping teams understand what drives performance to optimize results. Wh

Modern data ingestion automation allows organizations innovate and stop wasting investments in outdated technologies & manual processes Businesses use all sorts of systems to communicate, engage, manage, and delight customers. These systems reflect platforms for email, social, loyalty, advertising, mobile, web, and a host of others. Guess what these systems generate a lot of? A critical business asset,  data . The Economist proclaimed that data is now “the world’s most valuable asset” . Harvard Business Review reported that 80% of an analysts’ time is spent just preparing data for reporting . The NY Times also reported that data “Janitor Work” is a crucial hurdle to insights outcomes. When this data is hidden and locked in these systems it clogs operations, block insights, and cripples informed decision making. Smart, effective use of data can be a competitive advantage for a business. Don’t feel like you are alone in this data struggle to use data for competitive advantage

The growth of e-commerce stores using Shopify, Amazon, eBay, and other marketplaces has resulted in tremendous competition. As a result of marketplace competition, margins are shrinking, and conversions more expensive. As someone using Shopify e-commerce solutions, you need to do everything you can to get an edge. The highest-performing sellers on Shopify drive performance by taking advantage of an essential resource available to them,  data . If you want to build reporting dashboards, visualizations, or engage your data science team for machine learning activities, having your Shopify data ready-to-go is essential to those efforts. What is the Shopify API? The Shopify API allows sellers the ability to get direct access to their shop data. Shopify developers have a wealth of resources for Shopify app development from guides, blog posts , webinars, and documentation that can help you along the way. Unfortunately, most sellers are not Shopify developers! Sellers don’t have the time

We are excited to announce Mode Analytics users can now leverage our Amazon MWS E-commerce data integration. The Amazon MWS connector will route and load data into your private, secure data lake or cloud data warehouse like BigQuery , AWS Athena , Azure Data Lake , AWS Redshift , or Redshift Spectrum . Why Mode Analytics users want to tap into Amazon MWS e-commerce data How are the leading Amazon sellers supercharging sales? They tap into performance data from a data source called Amazon Merchant Services (MWS). These “ pro ” sellers recognize data is the secret to unlocking e-commerce insights. They connect to Amazon MWS for this data. These pros know when customers may be more likely to purchase, which means they can optimize merchandising, ad spend, inform inventory management decisions, target special offers, promotions, and other tactics. For Data-Driven E-commerce Businesses Sudden changes in demand created in by an ever-changing and highly competitive Amazon Marketplac

Data Lake Icon If you were looking for some data lake icons or data lake logos, our creative team created a few for Openbridge. Data Lake Icons In terms of consistent visual representations of a data lake, we were not happy with what was available. Rather than create a unique AWS data lake icon or an Azure data lake icon, we wanted these to apply generally across all platforms. As a result, we created a set of icons that reflect a data lake conceptually. We included a modified icon that reflects our data lake formation process: data lake logo Data Lake Icons Use Cases The following are some examples of how the icons are used Openbridge : Using the icon in animation in a data lake introduction visual block Using the icon in the “ what is a data lake ” page header Using the icon in the “ why data lake ?” graphic Using the task icon to describe formation & architecting data lakes Looking for data lake providers or a data lake roadmap? If you are looking for icons

The keys to understanding Amazon Advertising Report data for BI, reporting, and data analysis In this article, we highlight considerations on the timing and quality of Amazon Advertising data coming from Ads API. Specifically, we cover when data is available and how it can change over time. Understanding these variations will ensure you are factoring the behaviors of Amazon Advertising report data into your insights efforts. Example report using Tableau, BigQuery, and Advertising API data feeds Understanding Amazon Advertising Report Data Timing Sales, ACOS, and other data take can take up to 48 hours to become available to end-users via the API and Amazon Reporting Console. This means a call to the API today for sales data may return an empty result. In addition to data availability, the data may be incomplete or partially returned. For example, Amazon says that spend and purchases for the past 2 days are only estimates. Why? Amazon is validating and reconciling click traffic