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Analytics

Turning Unstructured Data into Actionable Answers

Imagine a world where ALL your data works for you. We’ve already seen remarkable things happen with structured data at Qlik. Our associative engine was crafted to handle structured data in an exceptional way. Calculating, processing, and associating tabular data with precision. But here’s the catch: 80% of the world’s data is unstructured, and Forrester predicts this amount will double this year.

Keboola DEV/PROD Lifecycle Via Git

Keboola offers a robust virtual branching environment, enabling users to seamlessly create a shadow copy of their entire Keboola Project. This allows for development and testing of changes without affecting the production environment. These development branches contain a copy of the underlying project data, ensuring that when a pipeline is executed in the development branch, the production data remains unaffected.

Qlik Answers - quick product demo - Do More with Qlik

Qlik Answers offers a solution with Generative AI and Retrieval-Augmented Generation (RAG) allowing you to create conversational experiences with your data that exists in unstructured forms. Users can ask questions and receive reliable, consistent answers with links to source content, enhancing decision-making and business performance. Unlike other solutions, Qlik Answers is an out-of-the-box, self-service tool that simplifies deployment, reduces complexity, and ensures high security and compliance.

What Makes Data-in-Motion Architectures a Must-Have for the Modern Enterprise

Cloudera’s data-in-motion architecture is a comprehensive set of scalable, modular, re-composable capabilities that help organizations deliver smart automation and real-time data products with maximum efficiency while remaining agile to meet changing business needs. In this blog, we will examine the “why” behind streaming data and review some high-level guidelines for how organizations should build their data-in-motion architecture of the future.

Flink AI: Real-Time ML and GenAI Enrichment of Streaming Data with Flink SQL on Confluent Cloud

Modern data platforms enable enterprises to extract valuable business insights from data, sourced from various origins. Data engineers, data scientists, and other data practitioners utilize both data streaming and batch processing frameworks as a means to provide these insights. While batch processes work on historical data, stream processing extracts insights in real time, enabling businesses to react faster with respect to changing events.

Introducing Apache Kafka 3.8

We are proud to announce the release of Apache Kafka 3.8.0. This release contains many new features and improvements. This blog post will highlight some of the more prominent features. For a full list of changes, be sure to check the release notes. See the Upgrading to 3.8.0 from any version 0.8.x through 3.7.x section in the documentation for the list of notable changes and detailed upgrade steps. In a previous release, 3.6, Tiered Storage was released as early access feature.

Snowflake Advances Cybersecurity Excellence by Joining CISA Secure by Design Pledge

I’m happy to share that Snowflake has signed the Cybersecurity and Infrastructure Security Agency (CISA) Secure By Design Pledge as we champion the advancement of industry standards for security in technology design. The CISA pledge to foster tech-ecosystem security deeply aligns with Snowflake’s own product design ethos, where security is built in from the start.

Effective Strategies for Managing a Hybrid Workplace in Saas Businesses

Offering remote working options to employees allows them to work globally and achieve a better work-life balance. For companies, this means tapping into the global talent pool and finding top candidates. Thus, hybrid workplaces, which combine office and remote work, are becoming increasingly popular. However, managing such environments comes with unique challenges. Leaders must use innovative approaches to maintain team cohesion, support well-being, and leverage technology for optimal productivity.