Cut Concrete Steel Mesh More Efficiently

When it comes to the construction business, holding onto obsolete methods and tools can literally mean the difference between your company growing and becoming more successful and falling behind in skill and efficiency &#; both of which will affect your bottom line negatively. You have to be cutting edge with your materials and tools in order to compete.

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BN Products understands how crucial it is that construction supplies distributors, sales representatives, and contractors have access to the newest tools that will increase their efficiency and save them time and money.  

Out with the Old, In with the New 

A great example of how the construction industry has changed is that traditionally wire clippers or bolt cutters have been used to cut mesh wire. However, those are manual methods that require a lot of time and energy. BN Products saw that challenge, realized there needed to be a better solution, and created a new product to address the issue. 

Our popular BNCE-20 rebar cutting tool cuts rebar in sizes from three-eighths of an inch up to three-quarters of an inch in diameter. But, many contractors use wire mesh in concrete instead of rebar in their concrete construction projects. And there&#;s a big difference &#; most contractors in the field use wire mesh instead of rebar, and bolt cutters to cut the mesh in place. Our cutting-edge saw was a corded tool, and bolt cutters are fairly portable, if labor-intensive. Our cutting tool required extension cords, an outside power source, or a generator to be efficient.

So, we created a cordless tool that runs on a battery. And, we topped that by creating a mesh blade designed specifically to cut wire mesh. Unlike bolt cutters, our cutting tool slices through mesh like butter. 

The Cordless BNCE-20 

Our BNCE-20 is a lightweight and compact 24V tool that can cut a variety of materials including wire mesh, rebar, coil rod, all-thread rod, tubing, EMT conduit, pipe, and more. It is designed to cut materials cleanly flush with the surface and features a removable 3-position side handle that offers multiple cutting positions while providing maneuverability in tight spaces.  

Innovation That Works 

When you have a product that solves problems, savvy forward-thinking distributors and contractors demand them. When someone who relies on manual labor and bolt cutters sees how the product works, their typical response is, &#;How can we get this&#;? At BN Products, we&#;re proud to be innovators who have taken traditional tools and modifying and adapting them to the needs of the people who use them.  

In today&#;s economy, businesses need to embrace new technologies and tools when they become available, and the construction industry is no exception. Give BN Products a call today to find out how your business can benefit from our cutting-edge tools.  

Your company wants to build a data mesh. Great! Now what? Here&#;s a quick primer to get you started &#; and prevent your data infrastructure from turning into a hot mesh.

Since the early s, microservice architectures have been adopted by companies far and wide (think: Uber, Netflix, and Airbnb, among others) as the software paradigm du jour, sparking discussion among engineering teams about the pros and cons of domain-oriented design.

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Now, in , you&#;d be hard-pressed to find a data engineer whose team isn&#;t debating whether or not to migrate from a monolithic architecture to a decentralized data mesh.

Developed by Thoughtworks&#; Zhamak Dehghani, the data mesh is a type of data platform architecture that embraces the ubiquity of data in the enterprise by leveraging a domain-driven, self-serve design. 

As companies become increasingly data driven, the data mesh lends itself well to three key elements of the modern data organization: 

1. The appetite for more and more data, ingested and leveraged by stakeholders across the company as opposed to a lone team of &#;data wranglers&#; 
2. The increasing complexity of data pipelines as teams seek to do more and more intelligent things with their data
3. The rise of a standardized data observability and discoverability layer to understand the health of your data assets across their life cycle

The potential of the data mesh is simultaneously exciting and intimidating, and like the microservice architecture before it, has inspired a lot of discussion around what it takes to operationalize data at scale. 

Unlike traditional monolithic data infrastructures that handle the ETL in one central data lake, a data mesh supports distributed, domain-specific data consumers and views &#;data-as-a-product,&#; with each domain handling their own data pipelines. Underlying the data mesh is a standardized layer of observability and governance that ensures data is reliable and trustworthy at all times. Image courtesy of Monte Carlo.

To guide you on your data mesh journey, we put together our list of essential data mesh reading: 

The Basics

• How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh &#; Zhamak Deghani&#;s original piece is the Holy Grail of all data mesh content. Think of this article as your gateway into the rest of the data mesh canon, whetting your appetite for future discussions around opportunities, challenges, and key considerations when implementing the design in practice. Her architectural diagrams are critical for understanding how the data mesh strikes a new pose against centralized architectures. 
• Data Mesh Principles and Logical Architecture &#; a follow up to Zhamak&#;s first piece, this article goes into more practical detail about how to actually implement a data mesh at scale, and takes a step back to explain how and why federated governance is critical to the architecture&#;s success. A must-read for anyone curious about the nuts and bolts of the data mesh. 
• Data Mesh Applied &#; Sven Balnojan, Head of Data Analytics and Data Science at Mercateo Gruppe, walks readers through how data teams can apply a DevOps, &#;data-as-a-product&#; mindset to their data architecture by migrating from a monolithic data warehouses and lakes to a data mesh. He also touches on how an average business (in this case, an e-commerce company), might go about this migration and how to democratize data ownership and access appropriately. 

Supplementary Reading

• What is a Data Mesh &#; and How Not to Mesh it Up &#; in , several customers approached my co-founder and I with questions about what it took to implement a data mesh architecture at scale, and whether or not a data mesh made sense for their team. In this beginner&#;s guide, we walk through some key considerations, particularly as it relates to setting your mesh up for success with data observability and discoverability. 
• Is the Data Mesh Right for Your Organization? &#; in Hyperight&#;s latest on the topic, they interview various data leaders and consultants about the reasons why (or why not) to implement a data mesh architecture. TL;DR: if your team is already adopting a domain-oriented approach to data ownership and struggling with data management, a data mesh may be the right architecture to take your organization to the next level. A key point: companies that lean into automation and DataOps are more likely to be set up for success companies that haven&#;t.
• Introduction to Data Mesh: A Paradigm Shift in Analytics Data Management (Parts 1 and 2) &#; Think of these two videos as additional context for Zhamak&#;s earlier writing on the data mesh. In these twin talks for Starburst Data&#;s SuperNova conference, Zhamak goes into greater detail about her motivations behind designing this new paradigm and how best-in-class data teams are already applying the data mesh at scale (with automation) to deliver more reliable, actionable insights to their companies. 

Primary Sources

This list is by no means exhaustive, but it should get you started on your data mesh journey. And for those curious about building a data mesh or looking to share best practices, consider joining the Data Mesh Learning Slack group.

Until next time &#; here&#;s wishing you data mesh magic! 

Is your company building a data mesh? Reach out Barr Moses with your experiences, tips, and pain points. We&#;d love to hear from you!

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