Systems | Development | Analytics | API | Testing

Data Engineer vs Analytics Engineer: How to choose the career that's right for you

A little over a year ago, I found myself feeling stuck in my role as a data engineer. I had majored in business in college and was looking to connect more with that side of things. I enjoyed my tasks as a data engineer but I wanted more flexibility and creativity. I wanted to be involved in business decisions rather than my tasks already being decided for me.

Winter '23: Accelerate time to value and data modernization efforts

We recognize that extracting the most return from your data isn’t always easy. In fact, for many organizations, it rarely is. According to a recent survey, 97% of respondents said they face challenges using data effectively. And NewVantage Partners found that only 24% of executives say their organizations are data-driven. There are simply too many data sources, too much data volume, and too few resources for these organizations to effectively manage the growing demand for trusted data.

Logilica becomes Synopsys Alliance Partner

SYDNEY, NSW — 28 February 2023. Logilica, a leader in value stream analytics, today announced becoming a Synopsys Technology Alliance Partner. Renowned for their leadership in the application security testing market Synopsys features flagship products such as Coverity, Black Duck and CodeDx to enable secure development across the supply chain.

Power BI Data Preparation in 5 steps

Microsoft Power BI is a fantastic tool for data visualization and business intelligence. But as any data analyst can attest, before you can build metrics and dashboards, you need to spend more than 1/3 of your time preparing and cleaning the dataset for your Power BI instance. Luckily, there is a better way to cut down on this time-consuming task. In this article you will learn.

Snowflake Workloads Explained: Data Lakes

Snowflake’s cross-cloud platform breaks down silos by supporting a variety of data types and storage patterns. Data engineers, data scientists, analysts, and developers across organizations can access governed structured, semi-structured, and unstructured data for a variety of workloads, without resource contention or concurrency issues.