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Why is data catalog the need of the hour for organizations?




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There was a time when browsing a library required visiting a centralized catalog of books in an oversized collection of drawers. This way, readers could quickly locate the text in the genre or style they wished by author or title. Modern businesses are the same. They require just as much direct access to critical data in an organized manner so that all their BI tools and data requests can be optimized in a timely manner. We collect so much information of varying types that without a data catalog, we risk losing critical insight into the overall constructs of an enterprise’s data landscape.

To get the most value from the data you collect, you need reliable data catalogs that will create efficiencies across your organization by deciphering different information based on the predetermined metadata factors you outline. For example.  if you have consumer data from one geographic area of your target market, it won’t be mixed in with data from another site requiring different marketing or advertising.

What is a Data Catalog?

The need to organize data is only accelerating. As more automated AI tools become available at cost-effective prices, businesses of every size are collecting all kinds of user, market, internal, and trending data that must be organized effectively to be of any value. Without the proper metadata to inventory what is coming in, it is really difficult  to monetize or ensure information is appropriately maintained to your industry’s regulations.

A data catalog is a good way to logically organize different datasets. This is by maintaining an inventory of your data assets and providing context so that your data tools, scientists, stewards, and other critical interested parties can best utilize, find, and create value from data dispersed across and beyond your enterprise

A quality data catalog goes further by not only giving stakeholders context or helping them discover where to locate different data, but also automating metadata management. This improves collaboration because everyone is essentially “on the same page” when identifying and organizing any data collected.

Again, we can rely on our library’s example. If you have a book, you are looking for, you need reference points like the author, date of publication, title, or other critical attributes to locate that book and get the knowledge you seek. Data catalog implementation is much the same. You need associated metadata to retrieve crucial information about processes, marketing results, customers, market trends, and performance issues within your business.

With a robust data catalog, you can link different assets by documentation, general queries, glossaries, historical data, and other metadata attributes. This creates a repository of all the information you have collected from various tools in an easy-to-understand structure that can then be leveraged through analytics.

What are the Differences Between a Data Dictionary, Business Glossary, and a Data Catalog?

Even though all three of these terms seem similar, they offer differences in what benefits they provide and how they are used in practice.

Data Dictionary:

A data dictionary is the technical description of data elements often used as a system catalog or database for IT departments and engineering teams. These are used to understand the physical data assets. It is common to see multiple dictionaries in use that focus on a system or a database. These are maintained or owned by IT teams, DBAs, or operation teams. Most often, these are presented in a spreadsheet format defining each attribute or metadata category needing to be addressed in a system.

Benefits include: 

  • Helps ensure master data management and data quality.
  • Lowers the cost of data initiatives by saving time with predetermined definitions.
  • Clarifies requirements for different IT teams working in collaboration.

Business Glossary:

The point of a business glossary is to provide definitions that offer clear and unified terminologies across an entire enterprise. This aids in driving consistency that begins with a line of business and eventually expands to the organization. These are owned and maintained by business teams, which are often updated via shared spaces like Wiki pages where authorized users can enter or improve definitions.

Benefits include: 

  • Low-cost solution to the general lexicon of an organization that improves collaboration.
  • No need to invest in bespoke tech as everything can be maintained through a shared Google Sheet or Wiki space.
  • Excellent tool for onboarding temporary or new team members.

Data Catalog:

A data catalog brings data dictionaries and business glossaries together, as well as other curated metadata. It is the unifying, one-stop-shop to organize all data being used, managed, or understood.

While IT is the primary team maintaining a data catalog, having both business and IT collaborate in ownership is beneficial. Common commercial data catalog tools such as Alation and Collibra provide functions to address data search and discovery across the enteprise data. Alternative approaches include leveraging service platforms that help with personalized data catalog usage across the enteprise that may reduce total cost of ownership. Gartner group recently categorized solution providers who deliver services led solution as Serware providers. See reference to Read this informative article from Gartner Data and Analytics Essentials: DataOps – https://www.gartner.com/en/documents/4001505

Benefits include: 

  • Improves regulatory compliance by directing access and searches to precious data locations.
  • Enhances an organization’s trust in data reliance and self-service by giving users exactly what they want with transparency and accuracy.

How Does this Apply to Metadata Management?

Data management, in general, has become more challenging due to the massive amounts being collected across data lakes, self-service, and other tools. However, you need data about data to efficiently manage where it is going, how it is used, and in the case of data catalogs, how it is organized for quick access.

This is done through metadata management. When the entire organization agrees on how best to define data assets, a data catalog can use this metadata to automatically crawl, identify, inventory, and classify assets across various sources.

This makes metadata the foundation of a data catalog. It allows a business to expand on collecting and organizing new data related to searches, datasets, processes, and people. This grows what can be gathered and interpreted by modern tools accessing the different data all because a data catalog has been further developed with more descriptive and detailed metadata.

Data Catalog Use Cases

Data catalogs speed up the access to quality and accurate data assets across an enterprise. This improves access and collaboration by leveraging custom metadata or organization information into easy-to-understand categories and attributes that team members, stakeholders, tools, and others can utilize. That includes improving:

  • Self-Service Analytics - An integrated data catalog acts as the traffic director for data by quickly shuffling new data into the correct destinations based on metadata. This helps those users’ running searches or implementing tools find the most relevant data needed in a given situation.
  • Improved Regulatory Compliance – Data catalogs include reference metadata outlining the provenance of data sources and the flow of different collected information. This helps ensure the correct data is being viewed by verified users and allows organizations to meet the challenges of ever-increasing government and industry regulations.
  • Elevate Data Governance – Data catalogs connect business glossaries with metadata to create taxonomies of scale within an enterprise. This allows outdated spreadsheets scattered around a company to be integrated into a data catalog to improve its function and automation so it can clarify data assets that help build user trust by establishing how those assets are related to the enterprise.

The Power of Metadata through a Data Catalog

Data catalog implementation allows for a centralized cockpit where all data assets can be identified, organized, and classified automatically from whatever sources of collection your organization utilizes. The quicker this data can be accessed and trusted by your users, the more agile your business will be. With robust metadata as guidance, a data catalog is essential to improving your data reliance.

To learn more about how a data catalog can improve your business operations, contact our exceptional team at NextPhase. We have years of experience implementing powerful data management tools that enable your decision-making and allow for valuable insights into the future of your business. Contact us today, and let’s get started building a solution for your specific organization!

Source: https://www.nextphase.ai/blogs/why-is-data-catalog-the-need-of-the-hour-for-organizations/

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From Dull to Durable: Transforming Your Commercial Concrete with Expert Repair




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Concrete is the most popular choice for commercial properties. It constitutes a wide range of structural elements, from sidewalks, driveways and patios. Concrete is a durable and long-lasting material. However, you might observe some signs of wear and tear over time. Don’t worry! Commercial concrete repair service in Brooklyn, NY, will address the issue immediately and efficiently.

A sidewalk concrete repair specialist in Brooklyn, NY, will transform your dull, damaged concrete into a durable and visually appealing surface.

Different Types of Concrete Damage

Although concrete is a strong construction material with a long lifespan, it may not often stand the test of time. There are various types of damage that you might observe in your structure, such as:

  • Cracks

Cracks are a common type of concrete damage, especially on sidewalks and driveways. They can range in size from small hairline cracks to large gaps that run the surface length. Various factors, including temperature changes, heavy traffic, and settling the ground beneath the concrete, can cause cracks.

It’s essential to repair the cracks as soon as they occur to prevent further damage and ensure your property’s safety. A sidewalk concrete repair specialist in Brooklyn, NY, can use crack injection or surface patching techniques to fix the issue.

  • Chips

Chips in concrete can be caused by impact or regular wear and tear. It can weaken the structure, making it more susceptible to future damage.

Chip repair involves restoring the affected area with patching materials and color-matching techniques. It restores the surface to its original appearance.

  • Holes

Holes in concrete can be caused by heavy traffic, construction, and natural elements such as wind and rain. Its repair can be a complicated process, but it is essential to ensure the safety and longevity of your concrete surfaces. A skilled concrete repair specialist can repair holes using various techniques, including surface patching and epoxy injection.

  • Discoloration

Discoloration of concrete can be caused by exposure to the elements, such as sunlight and rain, or by using certain chemicals. Expert commercial concrete repair service in Brooklyn, NY, may use surface cleaning and staining techniques to restore the appearance of the concrete.

  • Stains

Oil, grease, and other substances can result from various factors. Cleaning the surface thoroughly using a stain remover designed for concrete is essential to remove stains. If the stain is stubborn, expert concrete repair services may remove it with a pressure washer or sandblasting.

Common Concrete Repair and Restoration Techniques

Concrete repair and restoration experts utilize the latest techniques and technologies to ensure the best results. Some of the most common and effective concrete repair and restoration techniques include:

  • Concrete resurfacing

This process involves applying a thin layer of concrete over the existing surface to restore its appearance and provide added durability.

  • Crack repair

It involves filling in cracks in the concrete to prevent further damage and enhance its overall appearance.

  • Concrete leveling

This process levels uneven concrete surfaces, making them safer and more functional.

  • Decorative concrete

This technique involves adding decorative elements, such as patterns, color, and texturing, to enhance the aesthetic appeal of your commercial concrete.

By utilizing these techniques and other advanced concrete repair and restoration methods, expert repair services can provide lasting and effective solutions for commercial concrete.

Perks of Commercial Concrete Repair Services

Expert commercial concrete repair services will transform the health and aesthetic of the structures. Some of the perks they offer are:

  • Aesthetically pleasing surfaces and Professional Results

Expert concrete repair services use the latest tools and techniques to repair concrete damage. They ensure that the surfaces look aesthetically pleasing.

  • Improved safety

By repairing cracks, chips, holes, and other types of concrete damage, you’ll reduce the risk of trip hazards and other safety concerns on your commercial property.

  • Peace of mind

When you choose expert concrete repair services, you’ll have peace of mind knowing that your commercial property is in good hands. You can trust that your concrete surfaces will be repaired efficiently.

Wrapping Up

Concrete damage can range from cosmetic to structural. It is essential to address it as soon as it occurs to prevent further damage and ensure the safety of your property. With the help of a commercial concrete repair service in Brooklyn, NY, you can restore your concrete surfaces to their former glory and extend their lifespan. So if you’re facing concrete damage, don’t wait. Contact a concrete repair specialist today!

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5 Painful Mistakes Data Engineers Make and How to Avoid Them





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It is always called that data science is the sexiest job in the 21st century. But now, data engineering careers are poised to give data scientist’s tough competition. Data engineering jobs are gaining more attention than data science jobs. When you decide that data engineering is your field, you need to understand that becoming a data engineer is a career, not a destination. Usually, people talk about the positive aspect, but nobody talks about the mistakes and how to avoid them.

So, it’s not easy, and data engineering professionals keep complaining that there is a massive gap between self–educated data engineer skills and real–world working in that field. Here are five common mistakes and traps that even the most skilled data engineers can fall into and what you can do to avoid pitfalls.

Common Mistakes that Data Engineers Make

The following are the common mistakes usually made by data engineers in their careers.

1. Not Considering Needs of End Users

One of the most common mistakes that data engineers usually make is paying attention to the needs of the end users. Many articles published on the internet discuss this topic, but engineers still avoid it. The data engineering decision is driven by the organization’s goal and customer needs.

So, it is best to ask questions:

· What tools and programs can you access?

· Are your data structures easy to access?

· What are the general skillsets?

· Is the end user known about SQL?

Even the most technologically advanced system is good as its end-user usefulness, so their requirement should be prioritized in the development process.

2. Builds Complex Logic in All

Data becomes complex, and delivery timelines shrink, so it is the nature of data engineers to build complex systems. Complex systems have thousands of lines of code, and only some are structured, making them difficult to maintain. Often, it becomes impossible to debug when an issue occurs and is only solved by the original developer. Thus, it is the responsibility of data engineers to build a simple system that is easy to understand for a newbie.

It is crucial to maintain an excellent modular structure for work, build functions that are easy to understand, and use appropriate naming conventions. Also, remember that you don’t have to plan everything when designing scalable architectures. What may seem obvious now might change later. You should have the plan to scale your software and how you will respond to evolving needs without causing any inconveniences for current users.

3. Not Asking Questions

The most significant mistake data engineers make in their starting careers is not asking questions. The data is carved in stone, but without clarity of how it should be put together and its purpose, new data engineers often lose sight of what they are trying to accomplish. Discovering the desired business benefit of each project makes prioritization on how to scrape and manage data smoothly.

So, raising the question in any project is essential, and they are more crucial than ever in the world of data. Asking questions will enable you to avoid costly mistakes, miscommunications, and misunderstandings among team members. At every step of the project, you need to ask questions because it ensures what is building and what is required.

A few of the popular questions are:

· What data needs to be collected?

· What problems are we trying to solve?

· What is the deadline for completing the task?

· What do we need to solve the problem?

· What is the time limit to complete the project?

4. Not Making their Fundamentals Strong

Most data engineers make a significant mistake by not making their fundamentals strong. It is expected from data engineers to have strong command in coding/scripting and SQL. However, if a data engineer does not work on a simple project and directly jumps to write a complex data pipeline, it creates a mess in coding.

So, data engineers should be conversant enough in databases and relational database management systems. It will create problems even in the simple data model if you don’t understand the difference between the primary and surrogate keys, it will create problems even in the simple data model.

5. Not Checking Data Accuracy

Many types of data are used in the systems you designed. These data may come from many sources. Data engineers must be aware of the importance of accuracy as there are

more information sources daily. Let’s assume you are the data engineer responsible for your company’s sales and marketing systems. You might be responsible for building data pipelines or dealing with different types of information.

· Social media data.

· Search engine data.

· Data warehouses and ERPs can provide order information data.

· Salespeople and employee information from the HRMS systems.

· Information and financial forecasts.

The social media data and search engine data are intuitively interpreted. However, it requires a lot more cleaning. You might think upstream systems such as ERPs or data warehouses would have clean data. Despite your best efforts to ensure accuracy, errors and issues can always occur in intermediate transformations before you receive the data. This could have an enormous impact on the system you create.

Data engineers should remember the golden rule. Only assume that the data is correct if you’ve done your checks. To ensure accuracy, you should include standard checks in your development process. SQL allows you to create queries that highlight discrepancies at your end. This can make the difference between success and failure in a project.


Data engineering is a great way to build a career in the data world. The demand for data is increasing, and the development of big data technologies to aid in response to the demand. Job opportunities are growing, and many people are attracted to them, ultimately increasing the competition. So, obtaining data engineering certification and differentiating you from others is essential.

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10 Steps to Finding the Perfect Vehicle Repairs




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Finding the perfect vehicle repairs can be a daunting task, especially if you are unfamiliar with the process. There are many different repair services available, which can make it difficult to know where to start. This article will provide an overview of 12 steps that you should take in order to find the best vehicle repairs for your car or truck.

Step 1: Research Repair Services

The first step when looking for Vehicle Repairs Northampton is to identify potential repair shops and research their services. You’ll want to consider how long they have been in business, what kind of services they offer, and any customer reviews you can find online. It’s also important to determine whether or not they specialize in certain makes and models of cars so that you know they have experience working on your type of vehicle.

Step 2: Ask Questions

Once you’ve identified a few potential repair shops, it’s important to ask questions about the services they offer and their policies. Find out whether or not all parts come with a warranty, what kind of payment methods they accept, and if they offer any discounts for certain repairs. It’s a good idea to ask how long the service will take to finish so that you can make appropriate plans.

Step 3: Get Quotes

The next step is to get quotes from each of your chosen repair shops so that you can compare prices and services. Along with the cost, you should think about how long it will take to perform the repairs, which components and materials are a part of the estimate, and any other costs that might apply.

Step 4: Read Reviews

Before committing to a repair shop, you should read as many customer reviews as possible. This will give you an idea of how trustworthy and reliable their services are, as well as whether or not they offer quality workmanship.

Step 5: Check Their Reputation

Another important step is to check out each repair shop’s reputation before making your final decision. Look for signs of professionalism such as industry certifications or awards they have received from auto associations or organizations. You should also ask them if they belong to any professional networks or associations that would provide them with additional training or resources.

Step 6: Ask for Referrals

Don’t be afraid to ask around for referrals from family and friends who have used a particular repair shop in the past. This is a great way to get an honest opinion about a shop’s services, as well as find out if they offer any discounts or other perks that could save you some money.

Step 7: Inspect the Shop

Before agreeing to use a repair shop, it’s important to inspect their location to make sure that everything is up to safety standards. Check out their equipment and tools to ensure that they are properly maintained, and look for signs of cleanliness and organization throughout the facility.

Step 8: Make Sure They Have Insurance

Another important step is to make sure that the repair shop you choose has adequate insurance coverage. This will help protect both you and the shop in case of any accidents or damages that occur during repairs.

Step 9: Look for Warranty Options

When it comes to Vehicle Repairs Northampton it’s always good to look for warranty options as well. Many shops offer warranties on certain parts and services, so be sure to inquire about these when getting quotes from each shop.

Before making a choice, be certain you are well aware of what the warranty covers and does not. Additionally, look into whether or not there are any extra fees associated with a warranty option. This can help you make an informed decision on which repair shop to go with. A sense of security comes from knowing that you are properly secured in case of problems in the future.

Step 10: Inquire About Payment Terms

Before committing to a repair shop, it’s important to ask about their payment terms. Find out what kind of payment methods they accept, if there are any additional fees associated with the service, and what kind of payment plans they offer.

By following these steps, you can make sure that you find a reliable repair shop that will provide quality services at a reasonable price.


Finding the right repair shop for your vehicle can be a daunting task, but it is well worth the effort. By researching potential shops and asking questions about their services and policies, you can make sure that you get the best possible service for your vehicle at an affordable price. Don’t forget to check customer reviews and inquire about warranties, payment terms, and insurance coverage before making your final decision.

With a bit of research and preparation, you can easily find a trustworthy repair shop that will provide reliable services and MOT Northampton at an affordable cost.

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