Big Data

We live in a world increasingly driven by data. How your organization defines its data strategy and approach-including its choice of big data and cloud.

What is Big Data?
Big Data as its name defining itself massive volume of Data, which is in structured, semi structured and unstructured manner and yet growing very rapidly with the time. But where does these Data comes? The answer is very simple, these data comes from every digital process and activities which we do on daily basis such as business transactions, social media, stock exchange, search engine and information from sensor or machine-to-machine data. Thus we can say big data incorporates immense volume, high velocity, and extensible variety of data.
Advantage of Big Data for each organization
Now, we know that big data include huge volume, velocity and variety of data. But it’s not the extent of data which we have is significant. It’s what we do with the data and utilize it for the organization growth is more important.Let’s look on to the advantages of Big Data.

  1. New Product Development - By analyzing the Big Data an organization can understand the needs or demand trends of the consumer or user and accordingly manufacture or create the products.
  2. Understand the market Condition - Big Data analytics can help organizations to understand the market conditions and purchasing behavior of the customers through which they can understand which products sold most and generating more revenue. By analyzing this they can take lead from their competitions.
  3. Cost Savings - Big Data not only help you to maintain the edge in trend or product development but also provide you the knowledge of which things or ideas better attract and relate with the customers. It can help you in your marketing strategies to make it cost effective with higher returns.
  4. Time Reductions - In Big Data analysis nowadays you can quickly and frequently grab and analyze data immediately which ultimately helps you in quick decision making and in implementation into the business strategies.
  5. Reputation -Big Data analysis also help in detecting fraudulent behavior, root causes of failures, issues and defects before it affects your organization.

What are the popular tools and technology we have for Big Data training?
There are various types of tools and technology work simultaneously to help you in get maximum results from available data. Here are the list:
Hadoop - This tool can save, store and process extensive amount of data in a distributed computing environment and can handle virtually limitless concurrent tasks or jobs.
Predictive analytics - In this technic you will learn to detect the potential of future consequences from the historical data with the uses of statistical algorithms and machine-learning techniques.
In memory analytics - This analytics technic will help you to analyze data directly from the system memory. You don’t need to use hard drives for the analysis, this way it helps in removing the data preparation and analytical processing delays.
Data management - This is one of the most important process which is helpful in Big Data technology. It’s very important to build, maintain and organize constantly flowing data so that it can be analyzed reliably. Data management understanding helps in establishing the process of master data management.
Data Mining – This is helpful in discovering patterns in the data.  With this process you can search through all the disorganized and repetitive noise in data, select only relevant information and use them to analyze the pattern.
Text Mining – By learning this technology in Big Data, skilled person can do analysis of any text data which comes from different and various text based-sources like books, web, comments, emails, blog, surveys etc. This is analytics can be possible by using of machine learning and or natural language processing technology.

How trained team can successfully implement Big Data practices?
Before the Digital era, for organizations and business owners it was really a tough task or we can say impossible task for them to track all those investments they made upon advertisements and other stuffs gives them sales or conversions. It was almost impossible for them to track how many people actually saw the ad or influenced by those and ads converted into sales. But, these days Big Data analysis and practices takes that concept to an entirely new level.
These days almost every businesses whether it’s small or large they are using big data to their product quality and make their strategies of  marketing more relevant and stronger for their customers which helps them to build stronger relationships with them.
But, before adopting big data analytics, a company needs to ensure that they have the right skills and resources in order to manage the increased volume of data, customer and market insights that they will be receiving on a daily basis.
This is the reason Organizations should train their employees about Big Data management and analysis.
How Cotocus team can help or advantages of Cotocus over other corporate training provider in the Big Data training?

  1. Instructor-led live & Interactive sessions – We provide Instructor led live and Interactive online and Classroom training.
  2. Lifetime access to sessions – We provide life time membership in which you can attend end number of sessions without any charges and terms & conditions.
  3. Lifetime access to learning materials – We also provide lifetime free access to all our learning management systems which includes class recordings, PPT’s, Videos, Assignments, Quizzes etc.
  4. 24x7 Support – We have dedicated technical support team who can help you 24x7 with your queries during and after the course.
  5. Certification – After course and project completion with us, we provide certificates to the participants which will help you to recognize as a certified Big Data professional.
  6. Projects & Assignments – We give assignments and real time projects to the participants so that they can grasp and test their knowledge, it helps them to build their skills for future projects of the organizations.