Azure

Processing Real-Time Streams in Databricks – Part 2
Processing Real-Time Streams in Databricks – Part 2

The first part of this post can be found at Processing Real-Time Streams in Databricks – Part 1. This is the continuation of Part 1 — we won’t repeat the architecture and …

Processing Real-Time Streams in Databricks – Part 1
Processing Real-Time Streams in Databricks – Part 1

Databricks is becoming the new normal in data processing technologies in cloud, both Azure and AWS. This is a step-by-step guide to get started on real-time (streaming) analytics …

Azure Data Platform – Capabilities That Enterprises Are Waiting For
Azure Data Platform – Capabilities That Enterprises Are Waiting For

Data solutions and data architectures encompass key areas in data management and provide guidance on how we ingest, process, store, maintain, consume, secure, and manage data. That …

Lambda Architecture Using Databricks
Lambda Architecture Using Databricks

For details about what Lambda architecture is, read Introduction to Lambda Architecture. From a technology point of view, Databricks is becoming the new normal in data processing …

Monitor and Manage Costs on Azure
Monitor and Manage Costs on Azure

Azure Cost Management helps in monitoring, optimizing, and controlling costs of Azure resources in subscriptions and resource groups. It shows organizational cost and usage …

How to Structure the Data Lake
How to Structure the Data Lake

A data lake is a framework, concept, and guidance on where to place data (Microsoft named their product Azure Data Lake, but the concept is broader). From a technology point of …

5 Things to Get the Best Out of Azure Databricks
5 Things to Get the Best Out of Azure Databricks

Most of the customers I talk to are directly or indirectly asking to scale their workloads and use Databricks. It has become the new normal in data processing in cloud. If you are …