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Our mission: Bringing practical business and technical intelligence to today's structured cabling professionals

For more than 30 years, Cabling Installation & Maintenance has provided useful, practical information to professionals responsible for the specification, design, installation and management of structured cabling systems serving enterprise, data center and other environments. These professionals are challenged to stay informed of constantly evolving standards, system-design and installation approaches, product and system capabilities, technologies, as well as applications that rely on high-performance structured cabling systems. Our editors synthesize these complex issues into multiple information products. This portfolio of information products provides concrete detail that improves the efficiency of day-to-day operations, and equips cabling professionals with the perspective that enables strategic planning for networks’ optimum long-term performance.

Throughout our annual magazine, weekly email newsletters and 24/7/365 website, Cabling Installation & Maintenance digs into the essential topics our audience focuses on.

  • Design, Installation and Testing: We explain the bottom-up design of cabling systems, from case histories of actual projects to solutions for specific problems or aspects of the design process. We also look at specific installations using a case-history approach to highlight challenging problems, solutions and unique features. Additionally, we examine evolving test-and-measurement technologies and techniques designed to address the standards-governed and practical-use performance requirements of cabling systems.
  • Technology: We evaluate product innovations and technology trends as they impact a particular product class through interviews with manufacturers, installers and users, as well as contributed articles from subject-matter experts.
  • Data Center: Cabling Installation & Maintenance takes an in-depth look at design and installation workmanship issues as well as the unique technology being deployed specifically for data centers.
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  • Standards: Tracking the activities of North American and international standards-making organizations, we provide updates on specifications that are in-progress, looking forward to how they will affect cabling-system design and installation. We also produce articles explaining the practical aspects of designing and installing cabling systems in accordance with the specifications of established standards.

Cabling Installation & Maintenance is published by Endeavor Business Media, a division of EndeavorB2B.

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Qlik Open Lakehouse Now Generally Available, Giving Enterprises Rapid, AI-Ready Data on Apache Iceberg

By: via Business Wire

Qlik Open Lakehouse includes Amazon Athena support and multi-engine access, plus deployment in the customer’s virtual private cloud (VPC) with automatic Iceberg optimization and built-in data quality and lineage

Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), today announced the general availability of Qlik Open Lakehouse, a fully managed Apache Iceberg service in Qlik Talend Cloud® that delivers real-time pipelines, automated Iceberg optimization, and true multi-engine access without lock-in. The result is an AI-ready data foundation that cuts time and cost between data and action.

Deployed in the customer’s own cloud account with bring-your-own-compute, Qlik Open Lakehouse combines change data capture (CDC) ingestion with automatic Iceberg optimization and multi-engine access so teams can use the tools they already rely on, including Amazon Athena, Snowflake, Spark, Trino, and Amazon SageMaker for machine learning (ML). In preview, customers reported faster queries and meaningfully lower infrastructure costs as they shifted workloads from proprietary warehouses to open, optimized Iceberg tables.

“AI stalls when data is slow, fragmented, and expensive,” said Mike Capone, CEO of Qlik. “Qlik Open Lakehouse fixes that by giving teams a real-time, Iceberg-based foundation they can run in their cloud at enterprise scale and query with the engines they already use. It brings performance, cost control, and governance into one motion so decisions happen faster and models improve every day.”

What’s new

  • General availability of Qlik Open Lakehouse in Qlik Talend Cloud, deployed in the customer’s VPC with bring-your-own-compute for full security, performance, and cost control
  • Multi-engine access on day one, including Amazon Athena support so teams can query Iceberg tables serverlessly alongside Qlik analytics and other engines
  • SageMaker-ready data stored in governed Iceberg tables on Amazon Simple Storage Service (Amazon S3), making it easier for ML teams to access, prepare, and train models without building additional data copies
  • Automatic Iceberg optimization for compaction, partitioning, and metadata maintenance to improve query performance and reduce storage footprint
  • Low-latency pipelines from hundreds of sources using CDC, with built-in data quality, lineage, cataloging, and FinOps observability
  • Qlik Analytics™ and AI on top with the Qlik engine and workflow automation so insights can trigger actions in business systems

“The general availability of Qlik Open Lakehouse translates Qlik’s long-term strategy into a tangible reality for companies adopting open table formats,” said Mike Leone, Principal Analyst, Enterprise Strategy Group. “Its ability to handle large amounts of data quickly, optimize it in real time, and work with different tools in the cloud solves common problems with data being out of date, slow, or expensive. Because it also has Qlik’s robust integration and data governance, it provides a strong platform for AI and analytics that teams can adopt without having to completely rebuild their systems or switch to new tools.”

Why it matters

AI value is bottlenecked by data. Qlik Open Lakehouse closes that gap by giving enterprises data and analytics foundations for AI: trusted, explainable, and up-to-date data in an open format that any engine can query. The result is faster decision-making, lower total cost, and freedom of choice across analytics and ML. In preview, customers saw up to 5x faster query performance and up to 50 percent lower infrastructure cost as they removed unnecessary copies and tuned Iceberg tables at scale.

How it works

  • Open by design: Data lives in Apache Iceberg on customer object storage. The same tables are queryable from Qlik, Amazon Athena, Snowflake, Spark, Trino, and ML services like Amazon SageMaker.
  • Real time by default: CDC keeps tables current. Automatic optimization maintains performance as data grows.
  • Governed and trusted: Integrated data quality rules, lineage, cataloging, and access controls provide the assurance AI and regulated workloads require.
  • Built for action: The Qlik engine and automation connect insight to workflow, so teams do not stop at dashboards.

Availability

Qlik Open Lakehouse is available today for Qlik Talend Cloud customers, including Amazon Athena support. SageMaker integration for model training and inference on Iceberg data is supported via standard AWS patterns. Additional ecosystem updates are targeted for Q4 2025.

Learn more and request a demo at our Qlik Open Lakehouse solution page or contact your Qlik account team to enable Open Lakehouse in your environment.

About Qlik

Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio provides advanced, enterprise-grade AI/ML, data integration, and analytics. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive.

© 2025 QlikTech International AB. All rights reserved. All company and/or product names may be trade names, trademarks and/or registered trademarks of the respective owners with which they are associated.

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