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My Top 5 Data Moments for 2023

Data has had quite the year, hasn’t it? I have worked in the data and analytics space more years than I would like to admit, but I can honestly say that it’s been one of the most exciting, wild rides in recent memory. Qlik has been along for that ride, and brought quite a bit of excitement all on its own. So I thought I would recap the five moments that really stand out for me from the world of data… and Qlik in 2023. But, hang on.

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.

Hevo Data and Kipi.bi Partner to Deliver Improved Data Maturity to Customers

Kipi.bi and Hevo Data have been bringing increased efficiency and maturity into enterprise organizations’ data stacks for years, and both teams are thrilled to formalize their partnership! Both organizations share a keen dedication to enabling data-driven decision-making by allowing businesses to leverage the power of modern data solutions. Table of Contents In this data-driven era, businesses are relentlessly striving to harness the power of data for better decision-making, insights, and growth.

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.

FedRAMP High Authorization on AWS GovCloud (US-West and US-East) Expands Snowflake's Commitment to Serving the Public Sector

It’s a milestone moment for Snowflake to have achieved FedRAMP High authorization on the AWS GovCloud (US-West and US-East Regions) . This authorization, from the Federal Risk and Authorization Management Program (FedRAMP), is one of the most rigorous security endorsements a cloud service provider (CSP) can achieve.

Harnessing the Data Cloud to Empower Our Own Marketing Team: Building a Digital Ads Ecosystem on Snowflake

You need metrics to do your job well as a marketer but getting clear, meaningful metrics is a huge challenge. While digital advertisers and paid media professionals are on the hook to build ample sales pipeline and maximize return on ad spend (ROAS), they’re also expected to deliver personalized advertising content while navigating evolving privacy requirements and adhering to consumer expectations—all while extracting insights from siloed ad platforms.

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.

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.