Systems | Development | Analytics | API | Testing

What Are the Top 10 SQL Server Data Tools for 2023?

Five things you need to know about SQL Server data tools: Microsoft SQL Server is an RDBMS (relational database management system) for managing and storing information, transaction processing, and business intelligence. Managing a database on SQL Server or moving data to and from the platform can be challenging at the best of times. However, various SQL Server data tools can streamline these processes and improve scalability, functionality, and features.

Cybersyn Brings Exciting New Data Listings to the Snowflake Marketplace

In this episode of “Data Cloud Now,” Cybersyn Founder Alex Izydorczyk chats with DCN host Ryan Green about his passion for using data to drive business decisions and how the formation of the Snowflake Marketplace has dramatically enhanced data usage and data sharing opportunities. It’s leading to what he calls the “Moneyball-ization” of every industry. Tune in to hear him elaborate on that concept and to learn how Cybersyn itself is using publicly available sources of economic and demographic data to create new data sets in the Marketplace that hold valuable potential for almost any business.

How-to configure SageMaker with GitHub Actions

GitHub Actions is a powerful continuous integration and continuous delivery (CI/CD) platform that allows developers to automate build, test, and deployment pipelines. Workflows automatically build and test code whenever an event occurs, such as a pull request or a deployment of merged pull requests to production. Best of all, you can use it without leaving the comfort of your own repository!

A Look At New Products Recently Introduced By Snowflake

In this episode of “Data Cloud Now,” Gautam Srinivasan, DCN's India Correspondent chats with Michael Kilberry, Senior Director and Industry Field CTO at Snowflake, about some of the newest product announcements from Snowflake, including Unistore, which brings analytical and transactional data together in a single platform. They also discuss some of the unique characteristics and data needs of businesses in India.

How New Lumada Industrial DataOps 5.1 Scales Industrial IoT Solutions

Data quality is fairly simple nomenclature to describe the state of the data being processed, analyzed, fed into AI, and more. But this modest little term belies an incredibly critical and complicated reality: that enterprises require the highest level of data quality possible in order to do everything from developing product and business strategies, and engaging with customers, to predicting the weather and finding the fastest delivery routes.

Automating reports: Picking the right tool saves time and reduces errors

As every data engineer and analyst can attest, generating reports is one of the most time-consuming and human error prone activities in the day-to-day life of data analysts. Luckily, with the development of technology, data reporting can now be done automatically, which saves you time and reduces mistakes. In this article, you will learn.