In the previous post, we talked about Kerberos authentication and explained how to configure a Kafka client to authenticate using Kerberos credentials. In this post we will look into how to configure a Kafka client to authenticate using LDAP, instead of Kerberos. We will not cover the server-side configuration in this article but will add some references to it when required to make the examples clearer.
Have you been burned by the unexpected costs of a cloud data warehouse? If so, you know about the failed economics of some cloud-native solutions on the market today. If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. Data warehouses have been broadly adopted to provide timely reports and valuable insights. However, traditional deployments are notoriously cumbersome and cost-prohibitive at large scales.
Data engineers love to use SQL to solve all kinds of data problems. For this and more, Snowflake is a perfect partner. Snowflake’s support for standard SQL and several SQL variations, combined with JavaScript stored procedures, has helped me solve complex data challenges. But sometimes you might have the need for custom code.
There are a few standard structured data formats and discussions galore on which of them is more advantageous. Within Xplenty, users are able to process JSON and XML data formats with ease, and this article shares an example showing the functions that facilitate processing XML on Xplenty.
It's important to understand the uses and abuses of streaming infrastructure. Apache Kafka is a message broker that has rapidly grown in popularity in the last few years. Message brokers have been around for a long time; they're a type of datastore specialized for "buffering" messages between producer and consumer systems. Kafka has become popular because it's open-source and capable of scaling to very large numbers of messages.
With automated data integration, CaliberMind uncovers data insights for customers. As a Customer Data Platform (CDP), CaliberMind delivers data-driven insights to its customers. To do so, it must connect to its customers’ data sources, extract, process and transform the data, run it through specially designed analytic models, and, finally, present data back to the customer as insights. CaliberMind uses Fivetran to offload the task of ingesting data from its customers’ applications.
Every business wants to stay agile. They invest in analytics to learn about their customers and their internal state, and they use these insights to make bold and innovative decisions. But then they run into a common problem: how to put those decisions into action. This is where a solutions analyst comes in. These multi-talented creative thinkers will look at the current state of play and identify the smartest path forward.
