In this last installment, we’ll discuss a demo application that uses PySpark.ML to make a classification model based off of training data stored in both Cloudera’s Operational Database (powered by Apache HBase) and Apache HDFS. Afterwards, this model is then scored and served through a simple Web Application. For more context, this demo is based on concepts discussed in this blog post How to deploy ML models to production.

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. Consider that Manufacturing’s Industry Internet of Things (IIOT) was valued at $161b with an impressive 25% growth rate, the Connected Car market will be valued at $225b by 2027 with a 17% growth rate, or that in the first three months of 2020, retailers realized ten years of digital sales penetration in just three months.

In the previous posts in this series, we have discussed Kerberos and LDAP authentication for Kafka. In this post, we will look into how to configure a Kafka cluster to use a PAM backend instead of an LDAP one. The examples shown here will highlight the authentication-related properties in bold font to differentiate them from other required security properties, as in the example below. TLS is assumed to be enabled for the Apache Kafka cluster, as it should be for every secure cluster.

The wait is nearly over, and soon we’ll all be privy to this year’s Gartner Magic Quadrant for Analytics and BI Platforms. Qlik is proud of its 15-year history and ranking as a leader for the last decade in this signature research, and we are enthusiastic about sharing a complimentary copy of the full report when it publishes at this location: https://www.qlik.com/us/gartner-magic-quadrant-2021

Minimize human error, combine disparate marketing data and have a true conversation about marketing campaign effectiveness.

We now support more popular enterprise data sources, including IBM db2, Oracle RAC and SAP HANA.

If your product is an API, your customers are typically developers. While many developers aren’t fond of writing documentation for their own applications, they certainly appreciate well written docs for APIs they use. Well written docs can help developers ship their integrations and apps faster instead of getting buried in integration issues and errors.

We just released a Magic Dashboard for Garbage Collection stats for our Node.js integration. If you are leaking memory, this dashboard will help you discover and fix this problem. No setting up is required, this dashboard will magically automatically appear among the rest of your dashboards. ✨

In the modern era of digital businesses, web applications need to deliver on several grounds–performance, user experience, robustness, and scalability. However, many developers might agree that performance is of the utmost importance in any software application. The bells and whistles of a fancy UI and extensive functionalities can sometimes force performance to take the back seat. Additionally, there are a lot of reasons for performance to degrade over time.

Take a look at your application as it runs on your server or the cloud. You’re so proud of it. Admire it as it’s processing data, interacting with the user, and doing magical things. You should be very proud of it- you wrote a lot of code to make it happen. But, honestly, how much of the code in your application is your code?