Systems | Development | Analytics | API | Testing

A Comprehensive Guide To Build a Successful DataOps Culture in Your Team

Table of Contents Can Goktug Ozdem is the founder of Datrick. He is a data engineer with over nine years of experience in the field. He is a big fan of remote work and is passionate about bringing insights through data while traveling to different parts of the world. DataOps is an orchestration practice for analytics, increasing the degree to which insightful analytics are delivered, atop robust frameworks and systems.

Cloud Data Warehouse: A Comprehensive Guide

With the advent of modern-day cloud infrastructure, many business-critical applications like databases, ERPs, and Marketing applications have all moved to the cloud. With this, most of the business-critical data now resides in the cloud. Now that all the business data resides on the cloud, companies need a data warehouse that can seamlessly store the data from all the different cloud-based applications. This is where Cloud Data Warehouse comes into the picture.

Data-Driven Decision-Making in Utility Sector

For the past 25+ years, Kirk Mower, Cyber Security and Data Integrity Leader at TasNetworks, has been on a mission to scale Data-Driven Decision Making in a sector marked by the vast amount and complexity of data - Australian Utilities Space. In this engaging fireside chat, Kirk talks about the significance of data in the utility sector, his role as a data leader, and his thoughts on the Modern Data Stack. Check out this delightful data talk on our new show - Mavericks of Data.

Amazon Redshift ETL - Top 3 ETL Approaches for 2023

Amazon Redshift is a completely managed Data Warehouse, offered as a cloud service by Amazon. It can scale up to petabytes of data and offers great performance even for complex queries. Table of Contents Its columnar nature with Postgres as the querying standard makes it very popular for analytical and reporting use cases. These days it is very common to use Amazon Redshift as the backbone Data Warehouse for highly reliable ETL or ELT systems.

Data Maturity Models: Why Having Capabilities in Place Isn't Enough

Data maturity models measure the extent to which organizations have developed their data capabilities. They focus on a couple of dimensions that can include strategy, leadership, culture, people, governance, architecture, processes, and technology. Table of Contents The maturity levels of each of these dimensions may be measured along a continuum of four to six levels.

How to Migrate from MariaDB to MySQL in 2 Easy Methods?

MariaDB and MySQL are two widely popular relational databases that boast many of the largest enterprises as their clientele. Both MariaDB and MySQL are available in two versions – A community-driven version and an enterprise version. But the distribution of features and development processes in the community and enterprise versions of MySQL and MariaDB differ from each other.

Is Your Data Speaking to You? Real-Time Anomaly Detection Helps You Listen Effectively

As we hurtle into a more connected and data-centric future, monitoring the health of our data pipelines and systems is becoming increasingly harder. These days we are managing more data and systems than ever before, and we are monitoring them at a higher scale.