Big Data Solutions

With so many changes happening around on daily basis it becomes too difficult to take the right decisions. The big data help our clients to approach problems in a logical and effective way. The base of our approach towards tackling the problems of the clients is primarily to abstract a model out of the problem in the real-life. This will help us to make robust decision. All the created models are then taken into use for a better insight of the techniques and solutions used in the firm.

VertexPlus has perfected the combination of their unique approach and expertise to help client effectively. The expert team of VertexPlus draws engagement on the experience and expertise of the real-time business challenges. Our business analytics consultant gives better insight to the firm in order to increase the revenue generated in an annual year. The combine strength of Big Data & Analytics is exceptionally strong and making it further beneficial for our clients is the analytical skill with the collaborative work. We help the enterprises to make the best out of their inventories and resources. Our experts are techno-functional and come in with a great performance in Data Mining, Regression, Scenario Modelling and more. We also provide comprehensive services in business analytics of the Big Data.

General tools that help us to get great results.
Presto
Big Data in Excel
Hive
NOSQL
Sqoop

Importance

We have a team of big data experts who can help you with all aspects of big data, from strategy and planning to implementation and management. We can help you identify the right big data solution for your business and then work with you to implement it successfully. Our team has experience with all the leading big data platforms. We can help you harness the power of big data to improve your business outcomes.

We have a team of experts who are well-versed in big data solutions and can help you with anything from data collection to data analysis and interpretation. We have the tools and know-how to get the most out of your data, and we're here to help you every step of the way. If you're looking for help with big data solutions, then look no further than us. We have the experience and the expertise to help you make the most of your data. Contact us today to find out more about what we can do for you.

Common Challenges

Having a complete understanding of Big DataThere is a huge data in every firm which is collected from various sectors of the organization. Keep a well-regulated record of the data and constantly tracking is really important. One of the biggest problems faced by the firms is to completely and judicially utilize the large amount of data. Therefore, there is always a need of a big data analyst who can take on these tasks in a better way than any other person.

Good Quality Analysis SystemHaving an asset is not game over. Organizations need to use this data in a useful manner to generate précised results. Therefore, whatever technique the organization uses, need to give up the best results which are accurate. If the data that is being used to create results is not accurate it will result in ill-decisions which will hamper the future revenue and success of the organization. Testing the data is always a high priority issue and what makes it simpler is the accurately framed data in a well-organized way.

Security of DataWith all the data stored in one place one threat will always haunt the organization managers and it is the security of the data. When the companies are able to figure out the ways as to how they can use big data they also have a fear of losing some of them at once. This can cause a lot of damage to the firm. The software and tools used to analyze, store, and manage the data can be a potential threat which can lead to leaking the data at some point.

Different Sources of DataIt is never an easy task for an organization to deal with a large volume of data and with the changing environment and increasing needs the pace at which it is produced is also becoming a problem. Then dealing with more than 1 source of data is also a churner so be it an external or an internal source, keeping a regulated check on the inflowing and outgoing data is very necessary.

Our Offerings

Data Discovery

Data discovery is one of those methods that brings together the discovery and behavioral analysis on big data. When we talk about data discovery, it is the process by which the IT sector extracts the actionable pattern from any data. There are new upgrade and innovation every day in the day to day world. What makes all this important is the enhancement of the insight-led business ecosystem and revenue growth.

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Data Maturity Consulting

Data Maturity Consulting assists organizations to evaluate themselves against best practices, identify gaps, and improve creations and management of data assets various lines and boundaries of businesses. VertexPlus’ Consultants helps an organization determine capabilities they need to create a comprehensive enterprise scale data architecture, one that is competent to augment the performance levels of its data management processes, data governance and gives reliable data to build insights upon.

We help companies assess their Data Maturity Model, build the right foundation and suggesting strategic roadmaps to position data as a critical part of the organization. Data science is still a toddling industry, and while some organizations are making investments in this area having a good understanding of how to leverage data for business growth, most are still at low levels of data maturity, grappling with challenges such as having no analytic environment, loose data architecture, weak data governance and less understanding of levelling up data management for future. Our Data & Analytics consulting practices lends reviews and recommendations to help organizations avoid the pains of adopting BI ecosystem, BI & Data operating models, data governance policies and procedures, building and scaling data platforms, new data strategies and long-term visionary plans across people, processes and technology.

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Deep Data Analytics

Data Analysis was always important for an organization because before and after creating a record it all about the analyzed data that the member of organizations refer to. And with passing time it has become the lifeline of the IT sector. Machine Language, Big Data, Data science and Deep Learning are the range of technologies that are used to analyze a huge volume of data. It helps the company to keep the pace with the expanding market. Moreover, to get a deeper insight into the behavior of the client, the new revenues created, and the system performance Big Data has been profiting the organizations greatly. The data analytics revolution has created a buzz for all the clients and organization depending on data completely/ majorly. The tools and methods used for Big Data analyzing are helping VertexPlus to deliver their clients with utmost accurate work.

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Data Management

The data management is a process of administration that includes the validating, storing, processing and acquiring all the data in a systematic manner ensuring the visibility, reliability, accessibility and time taken to collect all that data from the users. In recent and also the coming time, organizations are using and will be using the Big Data in full force. The big data is helping the firms to organize their work and make use of Big Data in making business decisions and gain a better insight of the customer behavior, new coming trends, and opportunity created in the market. But the next question to be asked is what has made the data so much valuable in the market? It is all about its sources? Or about its quality? Or about the format? But the value of data is not decided by any of these and it’s just one thing that it depends on is the way you use it. VertexPlus not only helps its clients but also give them all the information they need and that too in an adequate amount.

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Data Security

The DLP or Data Leakage Prevention solution offers all the necessary technology infrastructure so that the data can be organized in a desired way whenever needed. This makes it possible for the firms to take necessary steps in the right time. Moreover, there are a number of solutions that can be used to apply the classification of organization. Then many organizations use these solutions to critically analyze their data and then classify it. Sometimes, if this step goes wrong, the organizations face obstacles in using the solutions to the fullest.

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Our Offerings

Data discovery is one of those methods that brings together the discovery and behavioral analysis on big data. When we talk about data discovery, it is the process by which the IT sector extracts the actionable pattern from any data. There are new upgrade and innovation every day in the day to day world. What makes all this important is the enhancement of the insight-led business ecosystem and revenue growth.

Data Maturity Consulting assists organizations to evaluate themselves against best practices, identify gaps, and improve creations and management of data assets various lines and boundaries of businesses. VertexPlus’ Consultants helps an organization determine capabilities they need to create a comprehensive enterprise scale data architecture, one that is competent to augment the performance levels of its data management processes, data governance and gives reliable data to build insights upon.

We help companies assess their Data Maturity Model, build the right foundation and suggesting strategic roadmaps to position data as a critical part of the organization. Data science is still a toddling industry, and while some organizations are making investments in this area having a good understanding of how to leverage data for business growth, most are still at low levels of data maturity, grappling with challenges such as having no analytic environment, loose data architecture, weak data governance and less understanding of levelling up data management for future. Our Data & Analytics consulting practices lends reviews and recommendations to help organizations avoid the pains of adopting BI ecosystem, BI & Data operating models, data governance policies and procedures, building and scaling data platforms, new data strategies and long-term visionary plans across people, processes and technology.

Data Analysis was always important for an organization because before and after creating a record it all about the analyzed data that the member of organizations refer to. And with passing time it has become the lifeline of the IT sector. Machine Language, Big Data, Data science and Deep Learning are the range of technologies that are used to analyze a huge volume of data. It helps the company to keep the pace with the expanding market. Moreover, to get a deeper insight into the behavior of the client, the new revenues created, and the system performance Big Data has been profiting the organizations greatly. The data analytics revolution has created a buzz for all the clients and organization depending on data completely/ majorly. The tools and methods used for Big Data analyzing are helping VertexPlus to deliver their clients with utmost accurate work.

The data management is a process of administration that includes the validating, storing, processing and acquiring all the data in a systematic manner ensuring the visibility, reliability, accessibility and time taken to collect all that data from the users. In recent and also the coming time, organizations are using and will be using the Big Data in full force. The big data is helping the firms to organize their work and make use of Big Data in making business decisions and gain a better insight of the customer behavior, new coming trends, and opportunity created in the market. But the next question to be asked is what has made the data so much valuable in the market? It is all about its sources? Or about its quality? Or about the format? But the value of data is not decided by any of these and it’s just one thing that it depends on is the way you use it. VertexPlus not only helps its clients but also give them all the information they need and that too in an adequate amount.

The DLP or Data Leakage Prevention solution offers all the necessary technology infrastructure so that the data can be organized in a desired way whenever needed. This makes it possible for the firms to take necessary steps in the right time. Moreover, there are a number of solutions that can be used to apply the classification of organization. Then many organizations use these solutions to critically analyze their data and then classify it. Sometimes, if this step goes wrong, the organizations face obstacles in using the solutions to the fullest.

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Get Advanced Solutions for Your Industry

Where Passion and Technology Meet

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Tools & Technologies

There are a number of big data tools and technologies available to enterprises looking to make the most of their data. However, with so many options available, it can be difficult to know where to start. That's where our team of experts comes in. We offer a range of personalised data analytics services that can help your business.

Personalised data analytics services
Personalised data analytics services

these services offer customised and specific analysis of big data sets, in order to help businesses make better decisions.

ETL services
ETL services

ETL stands for ‘extract, transform, load’, and refers to the process of extracting data from various sources, transforming it into a consistent format, and then loading it into a centralised repository.

Enterprise metrics management
Enterprise metrics management

this is a tool or technology that helps businesses to track, measure, and manage their performance against specific goals and objectives.

Data migration and integration
Data migration and integration

this refers to the process of moving data from one system to another, or integrating multiple data sources into one centralised repository.

FAQs

1. What are the big data services?

There are a variety of big data services available today. Here are some of the most popular:

  • Amazon EMR: Amazon EMR is a cloud-based service that makes it easy to process and analyze large amounts of data.
  • Cloudera: Cloudera is an open source platform that helps you manage, process, and analyze big data.
  • Hortonworks: Hortonworks is an enterprise-grade platform that helps you manage, process, and analyze big data.
  • IBM BigInsights: IBM BigInsights is a cloud-based service that helps you manage, process, and analyze big data.
  • MapR: MapR is an enterprise-grade platform that helps you manage, process, and analyze big data.

Big data is often categorized into three distinct types: structured, unstructured, and semi-structured data. Structured data is data that is organized in a pre-defined format and is typically stored in a relational database. This type of data is relatively easy to query and analyze. Unstructured data is data that does not have a pre-defined format. This type of data is more difficult to query and analyze but can be more insightful than structured data. Semi-structured data is data that has a mix of both structured and unstructured elements. This type of data can be more challenging to work with but can provide a more complete picture than either structured or unstructured data alone.

There are many potential uses for big data solutions. Some companies use them to track customer behavior and preferences, while others use them to improve their marketing efforts or even to detect fraud. Big data solutions can also be used to help manage inventory, predict demand, or even optimize supply chains. The possibilities are endless, and the benefits can be significant.

It's no secret that Facebook has a lot of data on its users. In fact, it has been reported that Facebook has more data on its users than any other company in the world. But what many people don't know is that Facebook also uses a big data solution to help manage all of this data. The big data solution that Facebook uses is called Hadoop. Hadoop is an open-source software framework that allows for the distributed processing of large data sets across multiple computers. This means that Facebook can store and process all of its user data more efficiently. So, does Facebook use a big data solution? Yes, it does. And it's likely that other companies are using similar solutions to manage their own big data sets.

Four components of big data are-

  • Volume: The amount of data that is being generated is increasing exponentially. For example, 90% of the world's data was generated in the last two years alone.
  • Velocity: The speed at which data is being generated and collected is also increasing.
  • Variety: The types of data that are being collected and analyzed are also becoming more diverse. For example, structured data from databases, unstructured data from social media and images, and semi-structured data from log files are all becoming more common.
  • Veracity: The accuracy of data can be an issue with big data. For example, errors can creep in when humans are involved in data entry or when sensors produce inaccurate readings.

Yes, VertexPlus provides effective and efficient after sales services to their customers. This means that if there is anything that the customer needs help with, VertexPlus is available to help. This help can come in the form of troubleshooting an issue, providing advice on how to use the product, or even helping with warranty work if needed.

Why Choose VertexPlus ?

COMPETENCE

Our highly experienced team with vast technological expertise is fully equipped to deliver perfect solutions for all your requirements.

COMMITMENT

Our dedicated and professionally skilled team works relentlessly to ensure error-free and timely delivery of solutions to our clients.

CREDIBILITY

With the best talent on-board and following best practices, we are fully committed to provide technically superior and the most efficient solutions to our clients.

COLLABORATION

We keep our engagement clear and transparent; our teams work hand-in-hand with clients ensuring exceptional servicing & long-term relationships.

CLIENT ORIENTATION

With the Client-First approach; all our efforts are aimed towards creating winning solutions for our clients, even if that calls for going the extra mile.

CLIENT SATISFACTION

For us Client satisfaction is supreme; we take full ownership and responsibility to offer you more value for your money and keep you ahead of your competition.

Why Choose VertexPlus ?

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