Product Announcement: New Power Duo In Town
We're buzzing with excitement as we unveil two killer features that are bound to improve your data operations:
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Four approaches to data infrastructure modernization
As your organization’s data operations mature, you will need to upgrade your infrastructure to fulfill new needs and requirements.
No-Code Data Pipelines: Streamline Data Integration
Historically, connecting multiple data sources to a single destination required extensive experience as a computer programmer or data scientist. Today’s no-code data pipelines have changed that perspective. Now, practically anyone – even those without any coding experience – can use no-code pipelines to streamline data processing without damaging data quality. You will, however, need the right ETL and ELT tools to manage real-time data flows.
Logistics giant optimizes cloud data costs up front at speed & scale
One of the world’s largest logistics companies leverages automation and AI to empower every individual data engineer with self-service capability to optimize their jobs for performance and cost. The company was able to cut its cloud data costs by 70% in six months—and keep them down with automated 360° cost visibility, prescriptive guidance, and guardrails for its 3,000 data engineers across the globe.
Smart(er) Reporting in BMC with Yellowfin: Webinar Recap
Welcome to the Smart(er) Reporting in BMC with Yellowfin webinar recap! As BMC has initialized its end-of-life (EOL) plan for BMC Smart Reporting for Remedy, BMC customers have the opportunity to maintain their existing reporting and analytics to Yellowfin. But what does EOL for Smart Reporting actually mean? How can the upgrade to Yellowfin de-risk your business, with zero down-time and all your current content for business continuity?
Stitch data pipeline set up using Snowflake Partner Connect
In this tutorial, learn how to create data pipelines using Stitch, and extract data from all your data sources directly to your Snowflake data warehouse account. Set up a free Stitch account right from Snowflake Partner Connect with just a few clicks and in less than 5 minutes. Stitch partners with the most common data warehouses and data lakes to help move your data from sources like Shopify, Microsoft SQL Server, Facebook Ads, MongoDB, LinkedIn Ads, Hubspot, Zapier, Hubspot, Amazon S3, Google Analytics, and more.
Benchmarking Snowpark Vs. Spark For Data Processing
Are you a data scientist or data engineer looking to improve your data operations and workflows? Look no further than Snowpark! Our team at Keboola has conducted comprehensive benchmark tests pitting Snowpark against Spark, a traditional data processing engine. Our findings? Snowpark outperforms Spark in both speed and cost for most data engineering and machine learning tasks. Inside, you’ll find: Unlock the full potential of your data.
#shorts - Scheduled Reload Failed? Here's why
When a Qlik Sense app fails to reload multiple times on a scheduled basis it will disable the reload schedule. If you don't have alert notifications enabled for your reloads you may wonder why your app is no longer reloading on a scheduled basis. This video shows you why. Note - you can setup a notification to alert you if the reload fails so you can correct the problem BEFORE the schedule is disabled.
21 KPIs and Metrics Your Should Include in a Procurement KPI Dashboard
Discover how to optimize your procurement process with our guide to 21 crucial KPIs. Drive efficiency, foster relationships, and fuel sustainable growth.
How to Get Results With Self-Service Analytics
Self-service analytics has been a leading priority in the business intelligence (BI) space for years and is likely here to stay. With data-driven culture on the rise, analytics is no longer just for IT teams and data scientists. Self-service business intelligence tools make it possible for personnel across functions to perform analytics-related tasks themselves, dramatically reducing time to insight.