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This article was published as a part of the Data Science Blogathon.

Introduction ADLS Gen2

The ADLS Gen2 service is built structured, semi-structured, and unstructured data in their original file formats. For example, it can store Text files, CSV files, JSON files, XML files, images, videos, etc. When the uploading of files gets completed after that we can use any technologies like Databricks, or Hadoop, to process and analyze the data as per our business needs.

Data Lake Storage Gen2 makes Azure Storage the inspiration for building enterprise knowledge lakes on Azure Cloud. it’s designed to service multiple petabytes of data while sustaining many gigabits of turnout, Data Lake Storage Gen2 helps you to simply manage huge amounts of data.

A fundamental part of Data Lake Storage Gen2 is the addition of a hierarchical namespace to Blob storage. The hierarchical namespace organizes objects/files into a hierarchy of directories for efficient data access.

In this article, we will explore Azure Data Lake Storage Gen2 (ADLS Gen2) service. We are going to c orage containers and upload the data inside the containers from our local system.

Steps to Create ADLS Gen2 Storage Account


Need to have at least an Azure free tier subscription. I will use a free tier subscription to perform the below steps.

Step 2 – Now we will create the storage service.

Step 2.2 – Type “storage account” and select the only option “storage account” to create this service.

Step 2.4 – Provide the following information in the “Basics” tab of the “Create a storage account” page –

“Project Details” Section –

Subscription – Select the proper “Subscription” to use from the Dropdown.

Resource Group – Select “RG-Storage” from the Dropdown of “Resource Group”.

          “Instance Details” Section –

Storage account name – Type the name “blogdemostg ” in the provided input box.

Region – Select the default option “East US” from the Dropdown of “Region”. If you want you can change it as per your choice.

Performance – Select the option “Standard: Recommended for most scenarios (general-purpose v2 account)”.

Redundancy – Select the “Locally-redundant storage(LRS)” Option in the Dropdown.

Step 4 – Finally our service gets launched and we can see all the credentials that we have defined during the creation of the ADLS Gen2 storage account.

Uploading Data in ADLS Gen2

We have successfully created our first ADLS Gen2 storage account. Now, we will upload the data inside it using Microsoft Azure Storage Explorer. To upload the data we are going to create a folder with the name “raw”. Inside this folder, we are going to upload our data. Let’s go…

Steps to upload the Data in ADLS Gen2 Storage Accounts

Step 2 – Type the name of your folder inside the provided box as “raw”.

Step 5 – Now your file gets uploaded into the Azure storage. You can check the “Activities” section which will display the status of your task, and whether your task is successful or gets failed.

This article has covered the following topics:

Details about ADLS Gen2 Storge Service.

Steps to create your fi

Connecting your Azure account with Microsoft Azure Storage Explorer.

Creating containers in your ADLS Gen2 storage account with the help of Microsoft Azure Storage Explorer.

Uploading the data files and folders inside your containers from your local system.

Happy Learning!

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An Introduction To Tableau On Making Raw Data Useful

This article was published as a part of the Data Science Blogathon.


With this Tableau tutorial, you’ll learn how to visualize data and derive valuable insights from raw data, making dashboards, reports, tables, and more. We will also go through topics like Tableau’s desktop, server, and the various component of Tableau.

Tableau is a useful application for business intelligence and data visualization. It is used extensively for generating and distributing highly interactive and robust reports and dashboards that visually present the data like charts, graphs, plots, and so on. All the leading institutions have been built on data, so it is imperative to them that they make the most of the data sources available to them.

However, the available raw data is complex and hard to interpret, and it provides the solution for this. For acquiring and processing data, Tableau can connect to many files like excel, csv, JSON, etc. it can receive and process all types of data like structured(.csv), unstructured(json), and significant data sources.

Applications of Tableau

Data can be diced and sliced using Tableau’s features, and then we can create appealing representations. If you display the same data in the form of bars, charts, graphs, and plots, you will be able to decipher it. It is possible to detect hidden patterns, relationships, trends, and new meanings so that you can make an informative & valuable business decision. It’s major applications are as follows:

Come up with quick visualizations and insights on different data sources

Allows harnessing your databases and maximizing query performance

Using statistics like trending and forecasting

Integrate powerful table calculations with computer programming languages like R

Utilize Tableau dashboards to interact with data in the most intuitive way possible

The Components of Tableau

Tableau products work together and help users create data visualizations and generate reports by seamlessly transferring data between the products. Here is a list of the products or components:

Tableau Desktop lets you import data from different sources and create dashboards, stories, and workbooks. With Tableau Desktop and its website, you can share all the insights with others and publish the workbooks online. Tableau-desktop allows users to run direct queries on datasets without typing in a code. You only need to write the columns you wish to include and add visualizations like charts, tables, graphs, and maps. It can combine many sources of data into one dashboard.

It is used for publishing the reports and workbooks created in Tableau Desktop. The user can access workbooks and reports from anywhere. With it, you can access the latest content and workbooks, and reports generated by other users. To maintain security, the Tableau-Server admin has the right to set an authorization on specific projects, views, workbooks, and data sources.

It’s a free application you can install on your desktop and use to view the data visualizations built by users of Tableau Desktop. By using Tableau Reader, you can view, interact, add different types of filters, and drill down into the data without affecting the original datasets and visualizations.

Tableau Server lets you create workbooks and reports that can be saved, but anyone can view the workbooks because they are open to everyone.

Tableau Online is a platform that makes it easy to publish dashboards and share them with other users. The tool allows you and your colleagues to work on a project together and extract valuable information that can be transformed into visually interactive workbooks. Visuals can be accessed via the website, Desktop, and Mobile.

Different Types of Visualizations

The most important visualizations of tableaus that are used widely are as follows:

Line Graph: Used primarily for constant dimensions

Bar Graph: For dimensions that are not constant

Dual Axis Graph: Used to present two different variables or measures at the same time

Geographical Graph: For measuring sales and plotting other data on geographical maps

Area graph: Comparing measures

Tree Map: Nested rectangles are used to present quantities

Heat Map: The tool is used for measuring differences across different categories

Tableau Maps

The best way to depict geographical data is with Tableau maps. The main purpose of maps is to visualize comparing data in different topographical areas. The following are its various applications of it:

Proportional Symbol Maps: 

These maps are mainly used to visualize quantitative data for specific locations. Data of two or more quantities or variables can be added per location. An Earthquake map that shows the magnitude for the previous 10 years can be shown in a proportional symbol map.

Point distribution Maps: 

The data point of a specific location is shared. A point distribution map can be used to visualize events that took place at a particular time. To create distribution maps, you need to know the latitude and longitude of your data source.

Heat Maps: 

Heat maps visualize large volumes of data and spot trends that help the user make better decisions. You can create a heat map of your site data and see where users are coming from.

Flow Maps:

A flow or path map in Tableau shows the journey of an object from one place to another. An example of this would be a thunderstorm or hurricane. Over time, a hurricane’s flow map shows its path from the origin to the end.

Spider Map:

The origin-destination maps show the path for multiple destinations or a single origin. An example of a spider map would be the visualization of migrant data who moved from one country to another.


Tableau is one of the data visualization technologies growing exponentially, primarily in the business intelligence sector. It is swift to deploy, simple to use, easy to learn, and very intuitive for customers. It aids in converting raw data in an effortless and lucid way. It does data processing quickly and produces dashboard-style graphics. Solutions from Tableau Learning is applicable in many department and industries.

This introductory tutorial is intended for all students who desire to understand the software and operate in the business intelligence industry. Anyone can go through this to understand the basics, whether it is to work in data analytics, data visualization, or business intelligence.

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Big Data Calls For Big Storage

You can’t dig into Big Data storage without first discussing Big Data in general. Big Data is a concept that any IT professional or knowledge worker understands almost by instinct, as the trend has been covered so extensively.

Data has been growing exponentially in recent years, yet much of it is locked in application and database siloes. If you could drill into all of that data, if you could share it, if you could cross-pollinate, say, a CRM system with information from your marketing analytics tools, your organization would benefit. Easier said than done.

That, essentially, is the Big Data challenge.

Arguably, the concept of Big Data entered the public imagination with the publication of Michael Lewis’ Moneyballin 2003. Of course, the term “Big Data” is nowhere to be found in the book, but that’s what the book was about – finding hidden patterns and insights within the reams of data collected during each and every major league baseball game.

One statistic that has been buried – well, buried isn’t right; ignored is more accurate – was about drafting college players over high school players. College players have a track record. They have statistics that can be measured, and they played against at least a half-decent level of competition:

“[Bill James] looked into the history of the draft and discovered that “college players are a better investment than high school players by a huge, huge, laughably huge margin.” The conventional wisdom of baseball insiders – that high school players were more likely to become superstars – was also demonstrably false. What James couldn’t understand was why baseball teams refused to acknowledge that fact.”

Pushing past gathering raw information and onto challenging preconceptions is at the heart of Big Data. So, too, is discovering truths that no one would have ever suspected before.

However, in order to gain these new insights and to challenge our misconceptions, we must find ways to access all of that data, hidden away in all of those proprietary applications and databases.

That’s not just a Big Data problem. It’s also a management problem, and it’s most certainly a storage problem.

Just how much data is out there? No one knows for sure, of course, but IBM’s Big Data estimates conclude that “each day we create 2.5 quintillion bytes of data.” The exponential growth of data means that 90 percent of the data that exists in the world today has been created in the last two years. “This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, e-commerce transaction records, and cell phone GPS coordinates, to name a few.”

To put the data explosion in context, consider this. Every minute of every day we create:

• More than 204 million email messages

• Over 2 million Google search queries

• 48 hours of new YouTube videos

• 684,000 bits of content shared on Facebook

• More than 100,000 tweets

• 3,600 new photos shared on Instagram

• Nearly 350 new WordPress blog posts

Source: Domo

This volume of data could not be saved, collected and stored were it not for the fact that data storage is so incredibly cheap. Today, everything from tablets to desktops is sold with ever bigger hard drives. Why would you bother deleting anything when it’s so cheap and easy to store it?

Between 2000 and today, the cost of storage has plummeted from about $9/GB to a mere $.08/GB, and as soon as I typed that low price point, you can bet that downward price pressure has already made those numbers obsolete.

If you are a highly paid knowledge worker, it’s probably cheaper to store data than delete it, since the productivity lost while purging old files may well cost your organization more than the storage costs — unless you have to find something lost in this data maze for, say, regulatory compliance.

Data is collected from everywhere, but where is it stored? That’s the crux of the problem. It’s stored everywhere, as well. Typically, these data repositories – “data silos”– are application specific.

Big Data storage, then, is as much about managing data as about storing it.

In Big Data storage management, we’re encountering a problem we’ve dealt with many times before.

We haven’t yet figured out a workable Dewey Decimal system for data. We’re moving in the right direction, with such tools as hyperlinks and wikis. But most data in enterprise applications, email servers and social networks is not structured for easy sharing to other applications.

1. Unstructured data. There are two types of data in storage, structured and unstructured data. Structured data has a high degree of organization, and is typically stored in a relational database that can be easily searched.

Unstructured data is, obviously, not structured in any meaningful way, including such things as photographs, videos, MP3 files, etc. Unstructured data is difficult to search and analyze.

2. I/O barriers. If you’re dealing with something like mapping genomes, gathering information from the Mars Rover or running sophisticated weather simulations, the transaction volumes of these data sets challenge traditional storage systems, which don’t have enough processing power to keep up with the huge number of I/O requests.

An Introduction To Mobile Seo

Mobile is to SEO what glaze is to Krispy Kreme. You can’t have one without the other. It is the backbone of Google’s index.

Sure, the mobile-first index just rolled out in 2023, but Google has been dropping not-so-little hints for the past few years.

In 2024, Google announced the mobile searches surpassed desktop. Then in 2024, mobilegeddon 2.0 rocked the SEO world. And, in 2023, Google introduced us to the mobile-first index.

But the question still remains:

What should my mobile strategy be?

It isn’t enough to have a mobile-friendly site.

This post will tell you all you need to know to get started with mobile SEO.

Step into your future with the basics of mobile SEO.

How Google Deals with Mobile Search

If it isn’t obvious yet, Google clearly favors mobile search.

But it can be quite confusing understanding how Google deals with mobile search.

So, here’s the lowdown on some common FAQs about mobile search and Google.

What URL Does Google Index If You Have Separate Mobile and Desktop URLs?

Google will display the desktop URL for the desktop searches.

And, the mobile searches will get the mobile URLs.

But, the indexed content (the big chalupa that determines how your rank) will be from mobile.

URLs in search: With Mobile-first indexing, we index the mobile version. When we recognize separate mobile URLs, we’ll show the mobile URL to mobile users, and the desktop URL to desktop users – the indexed content will be the mobile version in both cases.

— Google Webmasters (@googlewmc) June 14, 2023

Will I Lose My Ranking Positions with the Mobile-First Index?

But, mobile-friendliness is a ranking so your UX is still important.

Mobile-friendliness is reviewed page-by-page, which means you’ll want to update your money pages first.

On ranking: The mobile-first index doesn’t change anything for ranking other than that the mobile content is used. While mobile-friendliness is a ranking factor on mobile, being in the mobile-first index is not.

— Google Webmasters (@googlewmc) June 14, 2023

Allow me to let you in on a little secret:

Google wants both your desktop and mobile site to have the same content.

If you have the same content (like a responsive design), you will see no impact from the mobile-first index.

Plus, on the bright side, Google sends notifications to let webmasters know the mobile-first indexing is going down on your site.

Is Your Site Mobile-Friendly?

To help you find out if your site is mobile-friendly, here are some of my favorite tools.

Best Practices for Mobile SEO

Let’s break down how to optimize your site for mobile search.

We’ll start by exploring a few mobile SEO best practices and techniques that apply to all mobile sites.

Mobile Content

To sum up mobile SEO, you want the same exact content from your desktop on your mobile site.

All content formats (text, videos, images, etc.) should be crawlable and indexable in mobile.

Google updated their app and mobile results to display badges for image search.

This means those image alt attributes that you’ve been ignoring are becoming even more relevant in mobile search.

I mean, if Google can already recognize dog and cat breeds through photos, can you imagine what’s next?

Also, with the rise of voice search, you may want to consider aligning your content.

For example, I would recommend optimizing your meta titles for mobile search because they are shorter.

Remember, voice search is performed from a mobile device, so it makes sense to optimize your mobile site.

Voice search = mobile device.

This means redefining the way marketers perform keyword research.

Long-form queries and questions are dominating the SERPs, which is why things like featured snippets are having a major impact.

It’s about user intent now.

Mobile Site Performance

To quote Top Gun, “I feel the need for speed.”

Yes, Google is feeling the need for speed as the official mobile “Speed Update” hit the scene.

This is why Google introduced the Accelerated Mobile Pages Project to improve site speed and page load times for mobile content.

AMP allows content to be cached and served directly within a SERP (rather than sending the user to the original website).

This is also why the industry will start to see AMP pages integrate with PWAs.

I would recommend using responsive design as well as AMP pages.

For example, using AMP pages to serve your blog posts and services pages if you’re an SEO agency may be something to consider.

And, if you want to get really deep into page speed, listen to this podcast with Bastian Grimm and Brent Csutoras as they discuss paint timings.

Making Your Website Mobile-Friendly

There are three main approaches to making your website mobile-friendly:

Responsive Design

Adaptive Website

Separate Mobile Site

Here’s how to optimize each.

1. Optimizing Responsive Design for Mobile Search

There’s a mistaken belief that if your site is responsive then it’s automatically mobile-friendly.


Let me explain.

Responsive design maintains the same website content from desktop to mobile. It takes the same URLs, HTML, images, etc.

However, responsive design does not mean that the needs of your mobile visitors are met.

Responsive design still needs to be optimized for user experience.

With that said, Google has stated that responsive design is their preferred option for mobile SEO, but has confirmed there is no ranking boost to gain from having a responsive site.

And, based on a study by Appticles, published in Smashing Magazine, that responsive websites are the most common mobile-friendly site holding it down at 51.11 percent.

Here is what you need to know about optimizing your responsive design for mobile SEO:

Scale Images

Images already scale with responsive design. But, they may not be necessary for your mobile users. I’ll show you an example.

Here’s Navy Federal Credit Union’s homepage on desktop and mobile.

Now, here’s Bank of America’s homepage on desktop and mobile.

Bank of America, right?

Navy Federal’s desktop top image takes over the mobile website with no call-to-action. On the other hand, Bank of America’s CTA’s are front and center.

Key takeaway: Scale images for mobile users if you’re using responsive design. Ask your developer to create alternate images for different viewports. Don’t forget to update the meta name = “viewport.”

Clean Navigation

I would recommend monitoring your mobile user behavior to understand what they are searching for on your site.

Then, tailor your navigation to their needs.

For example, Best Buy keeps their navigation at the top with their main pages along with a hamburger menu in the center.

Side bar: Google has confirmed that hamburger menus are “fine” to use in mobile design.

Key takeaway: Keep your mobile navigation simple and clean. Limit the main pages to 4-8. If you  need more, utilize a hamburger menu.

Delete Mobile Pop-Ups

Google wants your mobile users to find what they need and fast.

To help their mobile users, Google introduced a new signal in 2023 that stated:

“Pages where content is not easily accessible to a user on the transition from the mobile search results may not rank as high.”

That’s not to say all pop-ups are bad.

Here’s an example of a bad pop-up:

The newsletter takes up the entire screen without letting users read the content behind it.

Here’s an example of a good pop-up:

The image does not take up the full screen and the visitors can still see the content.

Key takeaway: Proceed with caution when it comes to pop-ups. There is proof that pop-ups do work. In fact, Sumo saw a 9.28 percent conversion rate for their pop-ups. Just tread lightly.

Shorten Copy

Desktop copy does not often translate well to mobile copy.

Lots of text on a mobile site can crowd and overwhelm mobile users.

I like to keep things simple by reducing text. Let me show you.

Now, here’s their mobile site:

The copy is reduced above the fold to keep the CTA clear and concise.

They pushed the longer form copy down for users to learn more if they scroll.

Key takeaway: Less is more. Keep conversions high by reducing the amount of copy above the fold. Entice users to scroll with the intitial text, then give them the full monty after scrolling.

Design CTAs

iAcquire and SurveyMonkey discovered that 70 percent of mobile searches lead to action on websites within one hour.

But, mobile conversions are lower than desktop.


The call-to-action is not clear.

Here’s what I mean:

Look at’s mobile site:

They require the user to scroll to see the CTA button.

It’s likely they are losing out on mobile conversions.

Now, here is an example from Flywheel.

You can see that they want users to “Sign up for free” to use their product.

2. Optimizing an Adaptive Website for Mobile Search

An adaptive (or RESS/dynamically served) site uses the same URL, but the server sends a different version of the HTML (and CSS) based on what type of device is requesting the page.

You essentially have three different versions of your website:




Amazon is a great example of adaptive web design:

So, why did Amazon choose to use an adaptive web design over responsive?

Mobile Marketer reported that Amazon chose adaptive design to increase page speeds on mobile 40 percent.

If you’re a small business, I’d recommend going with the popular vote of a responsive design.

Adaptive websites require more resources.

Here is what you need to know about optimizing your adaptive website for mobile SEO:


Google will devalue your site if you’re showing one thing to the search engine and something different to the user.

This is cloaking.

To fix this issue, ask your host to use the Vary-HTTP Header.

This will guide the mobile crawler to the separate mobile content and signal to the server what type of device the user is coming from.

Customize Design

With adaptive design, developers have full control over the layout, display, and graphics.

If you’re website is tailored to multiple countries, then you may want to swap out the design elements based on region.

The downside to this is that you’ll have to manually update each version of the site.

For example, you can serve custom meta titles and meta descriptions that target mobile users.

Combine Adaptive with Responsive

There is an alternative before going knee deep in adaptive.

You can utilize responsive design with adaptive logic.

Developers can customize for mobile users using client-side JavaScript.

3. Optimizing a Separate Mobile Website for Mobile Search

A separate mobile site (or m-dot) is a completely different site.

The same basic SEO principles remain the same for your desktop, tablet, and mobile, but there are a few differences.

Here is what you need to know about optimizing your separate mobile website for mobile SEO:

Separate URLs

Each desktop URL should serve a mobile URL.

You will need to add the canonical URL rel=”canonical” tag to the mobile site pointing to the desktop URL.  Like this:

<link rel=”alternate” media=”only screen and (max-width: 640px)”

This can also be done in the sitemaps.

Implement Mobile Switchboard Tags

Switchboard tags are similar to canonical tags, they tell Google a mobile URL exists with a rel=alternate tag.

Without switchboard tags, Google may not crawl the mobile versions of your URL.

You will need to add the rel=”alternate” tag to the desktop URL that points to the mobile URL. Like this:

This can also be done in the sitemaps.

Detect User-agent Strings

Double check your redirects to make sure that your desktop URLs  coordinate to the correct mobile URL when redirecting.

Otherwise, you could create a faulty redirect (not good).

Luckily, Google Search Console will detect these faulty redirects for you.

Search Console Verification

Make sure you verify the mobile version of your website in Google Search Console.

Structured Data

Always include the same structured data on your mobile and desktop sites.

Your URLs in the structured data on mobile pages should be the mobile URL.


If you’re a global company using rel=hreflang, make sure your mobile URLs with the hreflang point to the mobile version of your country.

XML Sitemaps & Robots.txt

All links in the sitemaps should be available from the mobile version of the site.

This includes your chúng tôi file, too.


For all late nights cursing my laptop and stress eating that mobile SEO has caused me over the past few years, I’ll be the first to admit that the mobile-first index felt pretty blah.

The majority of the sites I work on are already responsive.

But, if you live for your separate mobile site, I won’t stop gushing about how important a uniform URL structure can be.

The end goal remains the same:

Allow the crawlers to access, read, and digest your content.

Optimize the UX for all devices.

Continue testing for better results.

Mobile search is no longer the future of SEO.

It’s here.

Do you have what it takes to make it out alive?

Image Credits

Featured Image: Paulo Bobita

Screenshots taken by author, September 2023

Secure Data Transfer And Storage In The Public Sector

The core responsibilities of public sector agencies seem to grow by the year, with the health and well-being of the populace atop the list. Nearly every agency’s duties and decision making processes are increasingly data-driven, however, so the secure collection and transmission of information across diverse areas such as financial services, security, public safety and education are paramount.

It’s not just federal government agencies, either. Organizations at every level are transforming their work processes, moving this critical information from paper-based to digital. The boom in digitization is creating a huge jump in demand for big data products and services, according to industry analysts at GovWin, which forecasts the federal market alone will grow from $2.6 billion in 2023 to $3.5 billion in 2023, a compound annual growth rate of 6.2 percent.

This creates the need for reliable storage solutions that can handle and enable data transfer, data encryption, storage, sharing and archiving. For example, the White House stated in its current President’s Management Agenda, “Modern information technology must function as the backbone of how government serves the public in the digital age. Meeting customer expectations, keeping sensitive data and systems secure, and ensuring responsive, multi-channel access to services are all critical parts of the vision for modern government.”

None of this can happen without storage that can securely store data and both encrypt and erase it completely when needed. Solid state drives (SSDs) check all of the above boxes while providing lower power consumption, faster boot and transfer times and larger capacity potential than traditional hard disk drives (HDD). In addition, SSDs can be used in data centers, on the road or in field offices.

Keeping data safe

Security is arguably the most important aspect of any organization’s data strategy, but the stakes are even higher for the government, given the extensive amount of personally identifiable information that’s created and stored across agencies. Domestic and international bad actors see these data repositories as what they are: treasure troves of Social Security numbers, demographic information and records that can be captured and either used or sold on the dark web. The most recent Verizon “2024 Data Breach Investigations Report” says that of all the data breaches in 2023 to date, 16 percent were in the public sector.

Samsung SSDs help agencies protect data because the encryption is hardware-based. This means the encryption keys are built into the drive controller rather than its system memory. In addition, Samsung’s SSDs are self-encrypting, so data is automatically protected and there’s no chance of a user forgetting to manually encrypt data. Traditional hard drives, on the other hand, use software encryption, which executes encryption using the server’s central processing unit (CPU).

The other side of the drive

Just as important as storing and encrypting data in the public sector is ensuring the proper disposal of that information when it is no longer needed. Securely erasing an SSD works differently than a traditional spinning platter-based hard drive.

Effectively wiping Samsung SSDs comes easily, thanks to Samsung Magician software with secure erase and data security. These features help users maximize the performance and lifetime of their SSDs. When it comes to sensitive information within the public sector, properly disposing of unnecessary data should be as big a consideration as how to store it during the technology buying process.

It might be time to replace your RAID storage with SSDs. Discover the best SSD for your public sector agency with this free assessment.

An Introduction To Using Zenmap On Linux

Zenmap is a cross-platform application which is available for Linux, Windows and OS X. Other than any Linux specific information, like the installation process, this tutorial applies equally to all of the supported platforms. Talking of the installation process, you can install it on Ubuntu using the Ubuntu Software Center (just search for “zenmap”) or from the command line using:


apt-get install


The above command also works on the Raspberry Pi and probably most other Debian or Ubuntu derived distributions. For other distros that use yum, like Fedora, then use:



"yum install nmap-frontend"

Although Zenmap can be launched via the desktop, it is however best to start it via the command line with root privileges, otherwise Zenmap can’t use some of nmap's functionality.

To start it on Ubuntu run:



There are two main ways to start nmap scan using Zenmap, either by entering a target address and selecting a scan type from the “Profile” drop-down list or by entering the command directly in the “Command” field. If you are familiar with nmap or you want to try out some of the commands from the previous articles, you can use the “Command” field directly.

The power of Zenmap is that it stores and sorts all the information from any scans performed and allows you to build up a picture of your network. The easiest thing to do is a Ping scan to see what devices are alive on your network. In the “Target” field enter and select “Ping scan” from the Profile list. If you are using a different network range from 192.168.1.x then I will assume from here on that you know how to enter the correct range. For more details, please see the previous parts of this series.

Down the left side of the window, you will see a list of the devices (hosts) found on your network and on the right, the output from the nmap command. Above the output pane is a set of tabs: “Nmap Output”, “Ports/Hosts”, “Topology”, “Host Details” and “Scans”. Each one of these tabs shows more information about your network and the information presented is accumulative. This means the more scans you do, the more information is available.

Run an Intense scan against to discover all the open ports and operating system on each host. After the scan, the OS icons will change in the hosts list on the left and the Ports/Hosts tab plus the “Host Details” tab will offer more information about each host.

Each circle on the diagram represents a host found on the network. If a host has less than three open ports, it will be green; more than three but less than six open ports, yellow; and more than six open ports, red. Hosts with filtered ports will have a yellow padlock symbol next to them.


As a further exercise try using some of the scans listed in the first two parts of this series by entering them directly into the “Command” field. Also if you want to permanently add these to the “Profile” drop-down list then use the built-in profile editor (under the Profile menu). The profile editor is also a good way to experiment with other scan parameters since the editor itself presents many of the nmap options as part of its user interface.

Gary Sims

Gary has been a technical writer, author and blogger since 2003. He is an expert in open source systems (including Linux), system administration, system security and networking protocols. He also knows several programming languages, as he was previously a software engineer for 10 years. He has a Bachelor of Science in business information systems from a UK University.

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