Systems | Development | Analytics | API | Testing

Coherent Automates The Capture Of Spreadsheet Logic

Oct 20, 2022 By Snowflake In Snowflake
Coherent Spark solves a common problem plaguing millions of Excel spreadsheet users: How to easily capture spreadsheet logic and bring it into the cloud to integrate it with modern systems? In this episode of “Powered by Snowflake,” Coherent Spark CTO Peter Roschke explains how the Spark platform takes advantage of the processing power of Snowflake to tackle that challenge. With Spark, the logic of Excel spreadsheets of any size or complexity, including enormous legacy spreadsheets containing millions of formulas, can be converted quickly into a cloud-compatible format capable of driving applications for all types of use cases.
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keboola

Planetly: Scaling companies' carbon management with data

Oct 20, 2022 By Keboola In Keboola
Planetly uses technology to simplify carbon management for companies at scale. Their data-driven software solution helps companies reach net-zero emission targets in four steps: The entire carbon management life cycle is powered and fueled by data. We talked to Cari Davidson, VP of Engineering and Patricia Montag, the Engineering Lead Analytics, to better understand what role Keboola (and data as a whole) play in the company’s operations and what that means for the engineering team.
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cloudera

Cybersecurity: A Big Data Problem

Oct 20, 2022 By Rob Carey In Cloudera

Information technology has been at the heart of governments around the world, enabling them to deliver vital citizen services, such as healthcare, transportation, employment, and national security. All of these functions rest on technology and share a valuable commodity: data. Data is produced and consumed in ever-increasing amounts and therefore must be protected. After all, we believe everything that we see on our computer screens to be true, don’t we?

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integrate

Diving Deep Into a Data Lake

Oct 19, 2022 By Mark Smallcombe In Integrate
A Data Lake is used to refer to a massive amount of data stored in a structured, unstructured, semi-structured, or raw form. The purpose is just to consolidate data into one destination and make it usable for data science and analytics algorithms. This data is used for observational, computational, and scientific purposes. The database has made it easier for AI models to gather data from various resources and implement a flawless system that can make informed decisions.
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Breaking down marketing data silos with BigQuery

Oct 19, 2022 By Google BigQuery In Google BigQuery
Welcome back to the Marketing Analytics Series! In this video, Kelci will demonstrate how to ingest and query marketing data with BigQuery. From an augmented understanding of your data to leveraging BigQuery’s public datasets, discover how you too can break down marketing data silos with BigQuery.
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Ep 60: The Modern Milkman's CSO, John Hughes on Using Data to Save Our Oceans from Plastic

Oct 19, 2022 By ThoughtSpot In ThoughtSpot
Each year, around 8 million tons of plastic waste enter the ocean, killing wildlife and damaging the enviroment for future generations. Much of this pollution originates from the wasteful packaging used for everyday grocery products. But a greener grocery alternative is making waves from across the pond. Joining us today is John Hughes, Chief Strategy Officer at The Modern Milkman, a UK-based grocery delivery company that brings locally sourced goods directly to customers without any single-use plastics.
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