Connected Manufacturing’s Pivot to an Enterprise Data Solution Connected Manufacturing is at a turning point and it is catalyzed by a real, measurable change and shift in data types – real-time and time-series data is growing 50% faster than latent or static data forms and streaming analytics projected to grow at a 28% CAGR, leaving legacy data platforms that specialize in static historical data solutions, functioning on-prem or in discrete clouds, inadequate in addressing today’s rea

In Part 1 and Part 2 of this blog post series, Snowflake Service Account Security, discussed service accounts threats and how to mitigate those threats with Snowflake features. Part 3 demonstrates how to manage credential rotation with a sample Hashicorp Vault plugin. You can use many platforms to achieve similar results. The important thing is to understand the patterns used to apply these controls to protect your service accounts.

Today’s an exciting day in the world of data warehousing and analytics for enterprises that want to get more insight from their SAP data. Let’s face it – basically every enterprise on the planet that has SAP wants more value from their platform and data.

Today, we are introducing BigQuery Omni, a flexible, multi-cloud analytics solution that lets you cost-effectively access and securely analyze data across Google Cloud, Amazon Web Services (AWS), and Azure (coming soon), without leaving the familiar BigQuery user interface (UI). Using standard SQL and the same BigQuery APIs our customers love, you will be able to break down data silos and gain critical business insights from a single pane of glass.

“In today’s world of disruption and transformation, there are a few key things that all organizations are trying to figure out: how to remain relevant to their customer base, how to deal with the pressure of disruption in their industry and, undoubtedly, how to look to technology to help deliver a better service.” Paul Mackay Today we are sitting down with Marc Beierschoder, Analytics & Cognitive Offering Lead at Deloitte Germany and Paul Mackay, the EMEA Cloud Lead at Cloudera to dis

According to Wikipedia, Data-Driven Testing(DDT) is a software testing methodology that is used in the testing of computer software to describe testing done using a table of conditions directly as test inputs and verifiable outputs as well as the process where test environment settings and control are not hard-coded. In the simplest form, the tester supplies the inputs from a row in the table and expects the outputs which occur in the same row.

Test automation helps increase development speed while reducing cost and effort. In this article, we will share how to automate testing to help keep a test automation initiative on the right track with key tips for test execution, design and maintenance for large enterprise applications.

Effectively bringing machine learning to production is one of the biggest challenges that data science teams today struggle with. As organizations embark on machine learning initiatives to derive value from their data and become more “AI-driven” or “data-driven”, it’s essential to find a faster and simpler way to productionize machine learning projects so that they can make business impact faster.

Learning additional languages is a common practice in the Netherlands. In primary school, we learn English and secondary school offers French, German, and a host of other options. Learning a new language and speaking it well is tricky.