Systems | Development | Analytics | API | Testing

Data is the oil that fuels the growth of modern enterprises. But unless you have the tools to unlock the potential of data, you might be left stuck on the tracks as your competitors speed ahead. With the rise of Big Data, the nature of the data that we work with has changed drastically. Data scientists like to refer to the ‘3 Vs’ of Big Data: The 3 Vs of Big Data reshaped the data landscape as we knew it.

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.

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.