How to replicate SAP data in BigQuery

Are you interested in unlocking advanced analytics by replicating SAP data into BigQuery? In this video, Lucia Subatin, a Technical Lead in Solution Engineering, will demonstrate how to download and implement an ABAP enhancement built by Google Cloud to stream data directly into BigQuery. Watch, follow along, and ask questions in the comments below! Chapters: product: Cloud - General; fullname: Lucia Subatin;

Data Chief Live: External data: Your secret weapon in a cookie-less world

How do you get to know your customer in a cookie-less world? Join Rosemary Hua, Global Head of Retail & CPG GTM at Snowflake and Forbes 30 Under 30, Erik Mitchell, founder and principal at Seek Data, Nik Lampropoulos, Global Director of Data, Insights & Analytics, Hogarth Worldwide and Cindi Howson, ThoughtSpot CDSO, as they discuss questions like.

Now in preview, BigQuery search features provide a simple way to pinpoint unique elements in data of any size

Today, we are excited to announce the public preview of search indexes and related SQL SEARCH functions in BigQuery. This is a new capability in BigQuery that allows you to use standard BigQuery SQL to easily find unique data elements buried in unstructured text and semi-structured JSON, without having to know the table schemas in advance. By making row lookups in BigQuery efficient, you now have a powerful columnar store and text search in a single data platform.

Google Cloud names ThoughtSpot a Google Cloud Ready - BigQuery company to help customers dominate the decade of data

We’re entering the defining decade of data. While every aspect of our lives have been changed by data in recent years, the next ten will see data rebuild the world around us. Every business, in every industry, needs a plan to adapt to this new world if they want to thrive. But how? That’s a question in the minds of data leaders, CEOs, and board members. The right approach is critical if companies want to dominate this new era. The wrong decision can spell disaster.

SQL Puzzle Optimization: The UDTF Approach For A Decay Function

How do you implement a decay function in SQL? You can use window functions, which scale better than joins, or better yet, you can try what Felipe Hoffa did: use tabular UDFs. In this video, Felipe shows you how you can use a tabular UDF to write custom code that can analyze a table row by row while preserving state. Felipe wrote a table UDF in JavaScript that uses a low amount of memory to keep track of the decaying values. He was able to run it in 36 seconds, instead of the 46 seconds that the SQL with windows solution took; and then he optimized the JavaScript even further and ran it in just 9 seconds.

Space-Based AI Shows the Promise of Big Data

At a distance of a million miles from Earth, the James Webb Space Telescope is pushing the edge of data transfer capabilities. The observatory launched Dec. 25 2021 on a mission to look at the early universe, at exoplanets, and at other objects of celestial interest. But first it must pass a rigorous, months-long commissioning period to make sure that the data will get back to Earth properly. Mission managers provided an update Feb.

Cost-Per-Order Formula for E-Commerce Explained

Our Five Key Points: You have a customer. They want a product: you sell that product. It’s simple, but how do you know if you’re charging the right amount for that product? Knowing how to calculate the cost per order is essential in helping you set the correct prices for your products and services. As an e-commerce retailer, you’ll naturally have lower overheads than a brick-and-mortar store.

Data Warehouse Automation: What, Why, and How?

Building a data warehouse is an expensive affair and it often takes months to build one from scratch. There is also a constant struggle to keep up with the large volumes of data that is constantly generated. On top of that, setting up a strong architectural foundation, working on repetitive and mundane data validation tasks and ensuring data accuracy is another challenge. This puts tremendous stress on data teams and data warehouses. Data warehouse automation is intended to handle this growing complexity.