Introducing Snowflake's Data Cloud Academy for Data Scientists
We hope you enjoy this live discussion about the Data Cloud Academy for Data Scientists with Felipe Hoffa, Eva Murray, and Julian Forero.
Redshift Copy: How to use Redshift's COPY command
In this guide, we’ll go over the Redshift COPY command, how it can be used to import data into your Redshift database, its syntax, and a few troubles you may run into.
The Ultimate Guide to Redshift ETL: Best Practices, Advanced Tips, and Resources for Mastering Redshift ETL
Amazon Redshift makes it easier to uncover transformative insights from big data. Analytical queries that once took hours can now run in seconds. Redshift allows businesses to make data-driven decisions faster, which in turn unlocks greater growth and success. For a CTO, full-stack engineer, or systems architect, the question isn’t so much what is possible with Amazon Redshift, but how. How do you ensure optimal, consistent runtimes on analytical queries and reports?
AWS Redshift Pricing: How much does Redshift cost?
While Redshift is arguably the best data warehouse on the market, it can come with a hefty price tag. We’ve created this Redshift pricing guide to help you evaluate Redshift cheaply, create a budget for full implementation, and optimize your Redshift set up so that you’re getting the most bang for your data buck. Ready to get started? Think of this blog post as a “choose your own adventure” guide.
Microsoft Azure vs Amazon Redshift
When choosing any SaaS application, you must start with a clear understanding of your business requirements. Then ask yourself the following questions: Develop a framework for data processing requirements, and you'll find a data warehouse solution that provides the right amount of power, functionality, and high performance for data analytics. Keep the answers to these questions in mind when reading through this article.
Why Company Data Strategies Are Indelibly Linked with DEI
About the report The Cloudera Enterprise Data Maturity Report is a global survey of 3,150 business and IT decision makers assessing organizations’ maturity when it comes to their current capabilities and handling of data and analytics.
Design With Analytics in Mind for Data Governance
The following is Part III of a three-part series. Welcome to the final installment of a three-part series discussing the areas to take seriously when you want to drive business with analytics. In Part I of this series, I discussed how to prioritize data accessibility and how to address the challenges that come with it. Those challenges include: Part II discussed where the disconnect is and addressed how organizations can bridge the gap.
Data Hub, Fabric or Mesh? Part 1 of 2
Over the course of my next two blog posts, I would like to share my thoughts around a debate raging in data architecture circles. The bone of contention? That the 21st century needs a new data management paradigm for modern analytics. First up, I’ll frame the argument and explain the two prominent approaches of data hub and data fabric. Then, I’ll cover data mesh and compare all three architectures. As always, I’d love to get your input, feedback, queries and comments!
14 Reasons Sales And Marketing Alignment Is Crucial for Skyrocketing Company Growth
From breaking down silos and establishing weekly stand-ups to refining messaging and improving lead nurturing processes, here is how to get sales and marketing aligned.
Qlik Reporting Service - Brief Overview and Quick Demo - Part 1
This video provides a brief introduction of the Qlik Reporting Service and quick demo. More detailed demonstrations, best practices and tips when using it with Qlik Application Automation and Qlik Sense are in part 2 of this video: This initial release of the Qlik Reporting Service provides multi-channel, multi-page report output distribution and delivery of Qlik Sense insights to your organization either using a public API or Reporting Service connectors available in Qlik Application Automation.