Systems | Development | Analytics | API | Testing

Top 3 Data and Analytics Trends to Prepare for in 2024

2023 was a year of significant developments in the fields of business intelligence (BI) and analytics. With a 50% rise in overall adoption of self-service BI solutions, continued focus on data governance and data security, and ever-evolving integration of automation and artificial intelligence (AI) in analytics, many businesses have transformed their use of data considerably.

New Snowflake Features Released in September-November 2023

At our recent Snowday event, we announced a wave of Snowflake product innovations for easier application development, new AI and LLM capabilities, better cost management and more. If you missed the event or need a refresh of what was presented, watch any Snowday session on demand. Let’s dive into all new releases in September, October and November.

SaaS in 60 - Tabular Reporting

This week Qlik Cloud customers can now address common operational report and distribution requirements with our new Tabular Reporting capabilities. Report developers can use an O365 Excel add-in to create custom, formatted, Excel documents from Qlik data and Qlik visualizations. Governed Report Tasks can burst these reports, delivering recipient specific data to any stakeholder, with the Qlik platform as the source for business decisions.

What is Confluent?

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations.

Using ClearML and MONAI for Deep Learning in Healthcare

This tutorial shows how to use ClearML to manage MONAI experiments. Originating from a project co-founded by NVIDIA, MONAI stands for Medical Open Network for AI. It is a domain-specific open-source PyTorch-based framework for deep learning in healthcare imaging. This blog shares how to use the ClearML handlers in conjunction with the MONAI Toolkit. To view our code example, visit our GitHub page.

15 Examples of Data Pipelines Built with Amazon Redshift

At Integrate.io, we work with companies that build data pipelines. Some start cloud-native on platforms like Amazon Redshift, while others migrate from on-premise or hybrid solutions. What they all have in common is the one question they ask us at the very beginning: And so that’s why we decided to compile and publish a list of publicly available blog posts about how companies build their data pipelines.