In-depth Introduction to MLRun
Watch this video with Yaron, CTO and Co-Founder of Iguazio as he dives into different features and ways to use Iguazio's open source tool, MLRun.
Installing Yellowfin on a Mac OS or Linux computer
Watch this step-by-step tutorial to learn how easy it is to install Yellowfin on either a Mac or Linux computer. You will need a Yellowfin license.
Get to anomaly detection faster with Cloudera's Applied Machine Learning Prototypes
The Applied Machine Learning Prototype (AMP) for anomaly detection reduces implementation time by providing a reference model that you can build from. Built by Fast Forward Labs, and tested on AMD EYPC™ CPUs with Dell Technologies, this AMP enables data scientists across industries to truly practice predictive maintenance.
Why is Data Integration Important in a Data Management Process?
Our five key points: Your data management processes are only as effective as the quality of the data you collate. Gaining access to as much data as possible is vital if you want the business-critical insights that can set you apart from the crowd. For Ecommerce businesses, so many of the resources you use are online, such as cloud-based SaaS, ERPs, or CRMs. Integrate.io explains why data integration is such a big part of data management for Ecommerce and the benefits of an intuitive ETL and ELT tool.
The Modern Data Lakehouse: An Architectural Innovation
Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested. Imagine independently discovering rich new business insights from both structured and unstructured data working together, without having to beg for data sets to be made available.
Gathering and Understanding Dashboard Requirements: What to Do Before Building a Dashboard
Learn how to get create a process to unearth dashboard requirements that help you build usable, visually engaging, and actionable reports.
Blending Data in the Data Warehouse
This is a guest post with exclusive content by Bill Inmon. Bill Inmon “is an American computer scientist, recognized by many as the father of the data warehouse. Inmon wrote the first book, first magazine column, held the first conference, and was the first to offer classes in data warehousing.” -Wikipedia. Our key points: One of the characteristics of most computing and analytical environments is that the environment consists of only one type of data.
Kubernetes Logs Collection with MiNiFi C++
The MiNiFi C++ agent provides many features for collecting and processing data at the edge. All the strengths of MiNiFi C++ make it a perfect candidate for collecting logs of cloud native applications running on Kubernetes. This video explains how to use the MiNiFi C++ agent as a side-car pod or as a DaemonSet to collect logs from Kubernetes applications. It goes through many examples and demonstrations to get you started with your own deployments. Don’t hesitate to reach out to Cloudera to get more details and discuss further options and integrations with Edge Flow Manager.
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The secret success factor for building apps that stick
Tons of apps are out there, but most of them fail. Successful apps leverage data and provide users insights into it. In-app data exploration becomes the new standard in user experience (UX).
Fivetran named in 2022 Gartner Magic Quadrant and Market Share Analysis reports
For the third year in a row, we were recognized for our "ability to execute" and "completeness of vision.".