Five leading experts share their insights on what’s ahead for the data industry.

Why you should use Fivetran history mode for historical analysis over alternative solutions.

E-commerce is on a steep rise with 95% of purchases expected to be made online by 2040, and mobile shopping responsible for a 500bn average year-on-year growth since 2017. AI-enabled agents can differentiate your mobile strategy while elevating your conversion rates and the customer journey.

As organizations place focus on innovation and digital transformation across enterprise IT, we continue to see increased adoption of containers and microservice application development patterns. Containers have brought developers new levels of flexibility and portability, but oftentimes still leave developers with questions about the best way to configure and build those containers.

In the Oil and Gas sector, operational excellence is always strived for, but can be very challenging to achieve. With siloed systems, manual tasks and data handoffs, changing regulatory requirements, and a large web of people involved in process execution, it is getting increasingly difficult to efficiently and accurately orchestrate operations.

Businesses of all sizes and industries are increasingly turning to digital transformations in order to make smarter, data-driven decisions, thereby gaining a competitive advantage over their competitors and better serving their customers. Yet as more and more companies adopt this forward-looking stance, what’s the role of developers in this new world of digital transformation?

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.