How to Build a Modern Data Stack From the Ground Up
A data architecture expert gives a crash course on moving analytics to the cloud — including a step-by-step plan to ensure success.
How to Build a Modern Data Stack from the Ground Up
At the Modern Data Stack EMEA Conference, Nas Radev, CEO of Infinite Lambda, reasons a company should consider implementing a new data stack and covers decision criteria and more that decision leaders need to know.
Fivetran's Airflow Provider Overview
A brief overview and demonstration of Fivetran's new Airflow Provider.
The Data Chief Live: How to Organize Data & Analytics Teams
Join The Data Chief Live, July 8, on How to Organize Data and Analytics Teams! Hear best practices to bigger business value on whether a centralized, decentralized, or hybrid organizational model is best. Join Jennifer Redmon, Cisco, John Thompson, CSL Behring, Cindi Howson, ThoughtSpot and other thought leaders Live.
ThoughtSpot Success Series #7 - Intro to Advanced Searches
Join ThoughtSpot's Customer Success team & other users as we discuss various topics in our new Success Series. During this event, we'll review advanced keywords including; year over year, month over month, and so much more! In this 30-minute event, you'll learn how to:
How to Move Kubernetes Logs to S3 with Logstash
Sometimes, the data you want to analyze lives in AWS S3 buckets by default. If that’s the case for the data you need to work with, good on you: You can easily ingest it into an analytics tool that integrates with S3. But what if you have a data source — such as logs generated by applications running in a Kubernetes cluster — that isn’t stored natively in S3? Can you manage and analyze that data in a cost-efficient, scalable way? The answer is yes, you can.
How Enterprise Data Lakes Help Expose Data's True Value
For all of the buzz surrounding both artificial intelligence and data-driven management, many companies have seen mixed results in their quest to harness the value of enterprise data. To avoid those pitfalls, we mixed best-of-breed and proprietary solutions to develop our enterprise data platform (EDP), focusing much of our attention on a combination of smart changes in technology, culture and process for data lakes.
Why Yellowfin built our own CRM analytics solution
Like most organizations, Yellowfin has a CRM tool. The data in your CRM should be able to help you understand how you’re selling and how you win. But everyone I speak to is frustrated by the analytics they get from their CRM. We realized very quickly that the reporting in our CRM tool wasn't meeting our needs, so we built our own solution.
How to Prepare Data for Microsoft Power BI
For data analysts, business intelligence professionals, and CTOs to optimize and scale business operations, they must first understand the business data that is available to them. One of the best platforms to turn complicated data points from multiple platforms into a singular, coherent data set is Microsoft Power BI. However, you must first prepare the data sets to eliminate fragmentations and create structural consistency. This article explores how to prepare data for Microsoft Power BI.
Two Ways to Migrate Hortonworks DataFlow to Cloudera Flow Management
Hortonworks DataFlow (HDF) 3.5.2 was released at the end of 2020. The new releases will not continue under HDF as Cloudera brings the best and latest of Apache NiFi in the new Cloudera Flow Management (CFM) product. Getting the latest improvements and new features of NiFi is one of many reasons for you to move your legacy deployments of NiFi on this new platform. To that end, we released a few blog posts to help you migrate from HDF to CFM.