How Data is Shaping the Future of Marketing Personalization
If your company is struggling with lackluster sales or poor reception to marketing campaigns, data-driven personalization could be the answer.
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.
How One Marketing Agency Improved Recurring Revenue by 20 Percent by Reporting Video ROI with Databox
Nextiny combines data from Wistia and HubSpot and visualizes it in Databox in order to prove ROI to prospects and close more deals.
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.
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.