How change data capture lets data teams do more with less
Data teams are seeking change data capture solutions for faster, more efficient analytics.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Data Talks Helps Sports Brands Score More Sales with Snowflake's Data Cloud
Data Talks fills a gap in the sports market by giving brands the data they need to truly understand their customers. But when your platform is responsible for continued ticket, merchandise, and sponsorship revenue, it needs to deliver insights fast. Here’s how Data Talks delivers data quickly with a rapid insights platform powered by Snowflake. From football fans filling out stadiums to baseball followers streaming every game, few customers are as avid and loyal as sports fans.
Compare and Conquer: Types of Benchmarking for Measuring Success
Learn everything there is about different types of benchmarking and how to use each to improve your business performance.
Talend in 2023: Customer-focused, customer-forward
Prepping for a sales kick-off puts the focus on an organization’s customers unlike any other event. There is no selling — or success — without understanding and fulfilling the needs of our prospects and customers. As our gathering in Nashville last month proved, Talend is laser-focused on meeting customers wherever they are in their data journey, with everything they need to solve their most pressing data management challenges.
How Retailers Modernize Operations and Reporting with the Snowflake Retail Data Cloud
A modern data infrastructure is essential for retailers looking to stay competitive today. Companies are abandoning more traditional, on-premises IT infrastructures and moving to more centralized “as a service” (XaaS) models of delivery enabled by cloud technologies, according to McKinsey. Aging on-premises infrastructures are unable to meet demands for agility and innovation, eating up too much time and too many resources for teams trying to maintain them.
Learn How Snowflake's Own IT Department Built a Solution to Optimize Software Licenses
In this episode of “Data Cloud Now,” host Ryan Green sits down with Snowflake CIO and CDO Sunny Bedi to discuss how, in today’s uncertain economy, organizations use data and machine learning to maximize operational efficiency and control costs. Sunny and Ryan discuss how to use data and applications to optimize provisioning employees with the right technical resources and software. Snowflake itself has recently developed SnowPatrol — an internal application to analyze, predict, and optimize software spend.
Transferring a Single Website from Universal Analytics to GA4
Let’s make the transition together.
Revamping Data Management Strategies with Data Pipelines
1. Data pipelines can improve data management strategies by enabling quick and easy data flow, transformation, and analysis. 2. Considerations when building a data pipeline include real-time data ingestion, scalability, performance optimization, data security and governance, and support for multiple sources. 3. Data mesh is a decentralized data architecture that organizes data sources by their specific business domains and must comply with the principles of the architecture. 5.
Spark Technical Debt Deep Dive
Once in a while I stumble upon Spark code that looks like it has been written by a Java developer and it never fails to make me wince because it is a missed opportunity to write elegant and efficient code: it is verbose, difficult to read, and full of distributed processing anti-patterns. One such occurrence happened a few weeks ago when one of my colleagues was trying to make some churn analysis code downloaded from GitHub work.
Move data from nearly any SaaS app with Lite connectors
Customers can realize the same fully-managed experience they have with our standard connectors and bring all their data into one platform.