Systems | Development | Analytics | API | Testing

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.

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?

CDP on Azure: Harnessing the Power of Data Flow and Event Processing

Data is being created at an ever increasing rate and generating insights through event streams has become a critical function for businesses. How can we process this data flowing in the enterprise, evaluate, enrich and transform it, all in real time to enable fast analytics to support intelligent decision making? Join us for this session where we will look at how we can use the elastic nature of Azure to scale Data Flows and perform SQL operations in realtime on streaming data from a variety of sources.

Scaling NLP Pipelines at IHS Markit - MLOps Live #17

The data science team at IHS Markit will be sharing practical advice on building sophisticated NLP pipelines that work at scale. Using a robust and automated MLOps process, they run complex models that make massive amounts of unstructured data searchable and indexable. In this session, they will share their journey with MLOps and provide practical advice for other data science teams looking to.

A Finance Leader's Guide to Data Modernization

In today’s tech-forward companies, CFOs are tasked with managing and overseeing an increasingly expansive domain of systems and technologies to thrive. The rise of regulatory considerations, novel market drivers and a globally connected business environment is creating an entirely new set of pressures on both the structure of the department and on leadership.