How Big is Big Data Course – All you want to know

Big Data, haven’t you ever heard of this term? I’m sure you’ve heard it. In the past 4 to five years, everybody has been speaking about Big Data. Do you really understand what means by Big Data, how is it affecting our lives and why companies are looking for experts who have Big Data skills?

Big Data Tutorial
In this Big Data Tutorial,Guest Posting I will give you an in-depth understanding of Big Data. For more information, go to the Big Data Course.

Below are the subjects that I will address within this Big Data Tutorial:

The story of Big Data
Big Data Driving Factors
What exactly is Big Data?
Big Data Characteristics
Different types of Big Data
Some examples of Big Data
The applications of Big Data
The challenges of Big Data
Let me begin this Big Data Tutorial by telling an enlightening short story.

The Story of Big Data
In the early days there was a time when people traveled between villages village using a horse-driven cart. However, as times passed, villages turned into towns and towns were spread out. The distances between one town to the next town was also increasing. It became difficult traveling between town as well as the baggage. Then, out of the blue one of the smartest fellas suggested that we groom and feed horses more often, in order to fix the issue. If I think about this suggestion, it’s not too bad however, do you believe horses can be transformed into elephant? I’m not sure. Another smart person said, instead of one horses pulling the cart let us have four horses pulling this same wagon. What are your thoughts of this idea? I believe it’s an excellent solution. Nowadays, people can cover vast distances in a shorter amount of time and carry more baggage.

The same idea applies to Big Data. Big Data says, till the present, we were content in storing data onto our servers due to the size of data was small and the time required to process the data was also acceptable. In the present technological age, data is increasing too quickly and people are dependent on data a lot of times. Due to the speed with which data grows, it’s becoming difficult to store it on any server.

Through this blog , Big Data Tutorial, let us examine the source that are the source of Big Data, which the conventional systems have failed to process and store.

Big Data Driving Factors
The amount of data available on the planet is increasing rapidly due to many reasons. Divers sources and our day-to- every day activities produce a large amount of information. Thanks to the advent of the web all of the globe has gone online and everything we do leaves behind a digital footprint. With smart objects being brought online and data growing, the rate has accelerated. The primary source of Big Data are social media websites, sensor networks, digital images and videos, cell phones transactions, purchase records, web logs health records, archives security for military, commerce complicated scientific research , and more. The totality of these data sources is about Quintillion bits of information. In 2020, the volume of data will reach 40 Zettabytes, which is equal to adding every grain of sand that exists on earth multiplied by seventy-five.

Learn more about Big Data and its concepts through this course. Big Data Hadoop Certification.

What exactly is Big Data?
Big Data is a term that refers to a collection of data sets that are huge and complex. They are difficult to manage and store using the available databases management tools or conventional software for data processing. The difficulty is in the collection, curation, storage and sharing transfer, analyzing, and displaying the data.

Explore Curriculum Big Data Characteristics
The five traits which are the basis of Big Data are: Volume Velocity, Variety Value and Veracity.

Volume refers to the “amount of data’ which is increasing day by day at a rapid pace. The amount of data created by computers, humans, as well as their interactions on social media is enormous. Researchers have estimated that up to forty Zettabytes (40,000 Exabytes) will be created in 2020, which is an increase of 300 times over 2005.Velocity
Velocity refers to the rate at which different sources create data each day. The data stream is huge and constant. The number of users on Facebook is 1.03 billion daily active users (Facebook DAU) on Mobile currently this is the increase in 22% from year to year. This shows how rapidly the number of people using Facebook is growing on social media , and how quickly data is being generated every day. If you’re able to deal with the pace and data, you’ll be able to make insights and make actions based on data that is real-time.
There are numerous sources that are making contributions to Big Data and Big Data, the kind of data they produce differs. It could be structured, semi-structured , or unstructured. Thus, there’s an array of data that is generated each day. In the past, we would obtain the data using Excel and databases, but now the data is coming as audios, images video, sensor data, and more. as illustrated in the below image. This is why this type of data that is not structured poses challenges when it comes to capturing, storage as well as mining and analyzing information.
After having discussed volumes, Velocity, Variety and Veracity and Veracity, there is yet another V to take into consideration when analyzing Big Data i.e. Value. It’s all very well and it is great to have access massive amounts of data, but unless we are able to transform it into value , it’s not worth it. In terms of turning it into value I’m referring to, is it contributing to the success of the companies that are studying large amounts of data? Are the companies engaged in Big Data achieving high ROI (Return on Investment)? If it does not add to their earnings through the use of Big Data, it is ineffective.
Watch the Big Data video below to find out the details about Big Data:

Big Data Tutorial For Beginners What is Big Data | Edureka
In Variety the article, there are many kinds of data that are being generated each day. Therefore, let’s know the different types of datathat are available:

The types Big Data
Big Data could be of three kinds:

The data that is processed and stored in a predetermined format is referred to as structured data. The data stored in a relational database management software (RDBMS) is an instance of structured data. It is simple for structured data processing because it is a fixed schema. Structured Query Language (SQL) is frequently used to manage these kinds of Data.
Semi-Structured data is a kind of data that doesn’t possess a formal structure as an data model i.e. an underlying table definition in the relational DBMS However, it is organized by properties such as tags and other markers to differentiate semantic elements, which make it easier to study. XML documents also known as JSON documents provide examples of semi-structured information.
The data that has no shape and cannot be saved in RDBMS and can’t be analyzed without being converted to a format that is structured. It is known as unstructured information. Text Files and multimedia files like audios, images videos, and images are examples that are unstructured. Unstructured data is growing faster than other types, and experts claim about 80 percent information in an organization is not structured.
So far, I’ve only covered the basics to Big Data. Additionally the Big Data tutorial talks about some examples, applications and issues within Big Data.

Examples of Big Data

Walmart is able to handle over one million customer transactions per hour.
Facebook stores, retrieves and analyses 30+ petabytes of data generated by users.
more than 230 million of tweets get generated every single day.
There are more than five billion people are using mobile phones to call or texting, tweeting, or browsing via mobile phones all over the world.
The YouTube community uploads every day for 48 hours of fresh video each minute of the day.
Amazon manages fifteen million users’ click stream information per day in order to suggest products.
294 billion emails are sent each day. Services examines these numbers to determine the spams.
Modern cars are equipped with close to 100 sensors that monitor the level of fuel as well as tire pressure. Every vehicle creates many sensor information.
applications from Big Data
We can’t speak about data without speaking about the people those who are benefits from Big Data applications. Nearly all industries use Big Data applications in one or another way.

Smarter Healthcare: Utilizing the petabytes of patient data The organization is able to extract valuable information and build applications that identify the condition of the patient prior to the time.
Telecom Telecom companies collect data, analyzes it, and provides solutions to various issues. Through the use of Big Data applications, telecom firms have been able to drastically reduce the loss of data packets that occurs when networks are overwhelmed, which means they can provide a seamless connectivity with their clients.
Retail: Retail is among the most slender margins and is one of the biggest users of the big data. The benefit of the use of large-scale data for retailing is the ability to analyze consumer behaviour. Amazon’s recommendation engine offers suggestions that are based on the past browsing habits of the customer.
Control of traffic The issue of traffic congestion has become a significant problem for cities around the world. Making use of the right sensors and data will be crucial to managing traffic more effectively as cities become more overcrowded.
Manufacturing Analytics of large amounts of data from manufacturing can help reduce the number of defects in components, enhance the quality of the product, improve efficiency, and help save both time and money.
High Quality of Search Each time we get data from Google and we’re simultaneously creating data to support it. Google retains this data and utilizes it to enhance its search performance.
A wise person once said “Not all that is in the world will be Rosy!”. In the Big Data tutorial, I have shown you the beautiful picture of Big Data. If it were that simple to harness Big data, wouldn’t you think that every company would be willing to invest in it? Let me be clear that this isn’t the situation. There are a variety of challenges that arise when dealing with Big Data.

Once you’re aware of Big Data and its various capabilities, the following section of this blog about Big Data Tutorial will shed some light on the biggest challenges facing Big Data.

The Challenges of Big Data
Let me give you a some of the issues that arise in Big Data:

High Quality Data The issue here lies in the fourth fourth of V i.e. Veracity. The information here is chaotic, inconsistant and uncomplete. Incomplete data is costing $600 billion to companies each annually in the United States.
Discovery The HTML0 Discovery Getting insight into Big Data is like finding an unmarked needle in a haystack. Analyzing petabytes and gigabytes of data using powerful algorithms to identify patterns and insight is extremely difficult.
Storage The more data an organization stores the more complicated the issues of managing it will be. The main question at this point is “Where to put this data?”. It is essential to have a storage solution that is able to easily scale to the desired size or decrease.
Analytics in the context of Big Data, most of the time, we’re not aware of the type of data we’re working with, which means that analyzing the data can be even more difficult.
Security Because the information is massive in size security is a further problem. This includes authentication of users by restricting access to the identity of the user, recording access history, the proper usage of data encryption, and more.
Insufficient TalentThere are numerous Big Data projects within big companies, but having the ability to build a skilled team consisting of data scientists, developers and analysts who have a enough domain expertise is a major challenge.
Hadoop for the rescue
There is a way to face Big Data challenges – its Hadoop. Hadoop is an open-source Java-based programming framework that allows the processing and storage of huge data sets within an environment of distributed computing. The framework is one of the components of the Apache project that is sponsored by the Apache Software Foundation.

Hadoop thanks to its distributed processing capability, manages massive amounts of unstructured and structured data much more efficiently than the traditional data warehouse for enterprises. Hadoop can run applications on systems that have thousands of hardware nodes that are common to the industry and handle thousands of terabytes worth of data. Many organizations are taking advantage of Hadoop because it’s an open source program that can be run on hardware that is common (your personal PC). The cost savings at first are substantial as common hardware is quite affordable. As the amount of data you need to store grows and you require additional hardware in order to store it. Hence, Hadoop proves to be cost-effective. In addition, Hadoop has a robust Apache community that is constantly contributing to its growth.

As I promised in the beginning of this blog post about Big Data Tutorial, I have provided you with the most comprehensive information about Big Data. This concludes the Big Data Tutorial. The next step is to understand and learn about Hadoop. We’ve got an entire sequence of Hadoop tutorialblogs that will provide specific knowledge about the Hadoop ecosystem.

Once you know the basics of Big Data, check out the Big Data training in Chennai by Edureka which is a reputable online training company that has more than 250,000 satisfied students spread all over the world. This Edureka Big Data Hadoop Certification Training course assists learners in becoming experts on HDFS, Yarn, MapReduce, Pig, Hive, HBase

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Barriers to effective planning

… policy … for the growing SMEThis is a summary of a talk given by Martin Kuhne of Ibis … in Bremen to an audience of small business advisors in … …

Communication policy essential for the growing SME

This is a summary of a talk given by Martin Kuhne of Ibis Associates in Bremen to an audience of small business advisors in September 2004.


One of the most serious barriers that a growing company faces is to resolve the problem of information flow – upwards,Guest Posting downwards, and sideways which is often grandly termed communication. This problem can cut in at a very early stage – Ibis staff have personal experience of dangerously limited communication in an enterprise of six individuals! As the effectiveness of communication declines, staff (and other stakeholders) become:

Less clear about what is expected of them;
Less sure about exactly what is going on throughout the company;
More suspicious of motives and less willing to accept change;
Poorer quality decision makers;
More likely to become departmentally rather than company minded with an emphasis on NIH (Not invented here);
More inward looking and more task orientated.

The combination of these factors means that policy implementation and task completion slows – or in the worst cases stops, labour turnover, absenteeism, disciplinary problems go up, productivity goes down.

Research suggests that most supervisory staff and management have a clear, but limited view of communication. This is to tell stakeholders what they (that is supervisors/ managers) want them to hear – and not to create a series of functional two way channels which improve reactivity within the enterprise, lead to much better decision making, and create enhanced shared values for all stakeholders. There is no single magic component – managers cannot wave a wand and say “let there be communication” – because a business is made up of a complex interaction of individuals both within and outside the enterprise, there are many communication channels, and effective communication will comprise their interaction. As with all Ibis suggestions, we see the creation of this improved communication system as incremental – companies can steadily introduce more and more components, ensure that they work, and then move on to others.

Some pointers to improved communication

All research shows that stakeholders like to be informed – they may not take in the information, but respond with trust to the enterprise that is trusting them with the information. A useful analogy is with Freedom of Information legislation – think about making communication inclusive rather than exclusive.
Individuals are very poor at separating wheat from chaff in information, which leads to information overload for some – unless the system is properly planned.
Individuals differ in the way that they take in information – some require voice (and individual contact), others require image while others prefer print.
The broader the range of communication channels, the better the overall information that individuals within the enterprise will receive.
Libraries have not evolved in the way they work by accident. Most of have an idea that relevant information existed and go looking for it. Make sure that the information is available in an organised and accessible way – a key feature of an effective management information system.
Few individuals take in all information at one presentation. The analogy to advertising messages is also relevant to information – each individual will require a minimum of messages to receive the underlying information.
Advertising has another lesson for communication – make sure that everything that is communicated is legal, decent and honest. You can sell anything once – to employees and other stakeholders – but once you have done this wrongly – your communication system will never be trusted again.
Commitment from the top, like all others aspects of company management is essential. Employees will become rapidly aware if senior management words are not linked to their deeds.

Changing from a disorganised to organised communication system

What must be accepted by the growing organisation is that the informal system of talking to colleagues across the table in the shared office will no longer work as more and more employees join the enterprise and the number of external stakeholders increase. Certain researchers refer to this as the “platform” – we see it as a steady movement away from resolving structural problems towards operational concerns.

Exactly when this will happen will vary, but it is clear that once the organisation passes beyond the point where the team leaders can maintain informal contact with all individuals on a daily basis, the enterprise needs to increasingly rely on a mixture of three different types of channel:

Formal/ informal;

Let us take one example of each to clarify the distinction between the three. Strictly formal methods of communication would include a company newsletter which would provide clearly defined information to employees and possibly other stakeholders as well. Formal/ informal methods are those where the company establishes a formal framework within which informal communication can occur. A classic example is the creation of a company canteen/ coffee area which is designed to provide a relaxing atmosphere – in which discussions are encouraged. Truly informal communication would include techniques such as management by walking about.

It is the Ibis experience that the majority of emphasis in the development of the communication policy should concentrate on formal and formal/ informal techniques. It is very difficult to change specific management styles or attitudes – some individuals can naturally handle management by walking about – others cannot – so any attempt to legislate for this will be doomed to failure, and be counter-productive.

Three elements are important to summarise the main options for improving communication: what is the channel, what can it do to improve communication/ decision making, and how rapidly it should be introduced into the growing company. The components are shown in table form below. Many of these elements are either part of or comprise an entire standard operating procedure of the 68 that Ibis currently have available.

The need to closely manage many parts of the communication mix

Caution is required during the implementation of a communication policy. Many companies find that an increasing amount of time and energy is sucked up in what can be termed “communication” but is in reality large quantities of hot air. This is a specific problem in certain communication channels which are marked in the chart as TWP – Time Wasting Potential. All of us have encountered individuals who believe that because they have had a meeting they have achieved something – the communication channel becoming an end in itself, rather than as a means to some practical activity. In each of these high risk areas the enterprise should create a clear policy which organises the system effectively. Small changes can have very significant effects in improving overall operational effectiveness. For example, organising the timing and flow of telephone, e-mail, fax, and letters can dramatically improve productivity. One Ibis client analysed productivity through the classic mechanism of an activity diary, and found that only 45% of management time could be considered “productive”. By a series of simple changes, productivity rose within two months to 70% without any reduction in client or supplier contact – in fact, customer satisfaction surveys showed both of these to have improved.

How does Ibis improve your communication policy?

Most of the opportunities that the enterprise has to improve communications in formal and formal/ informal contexts are covered by the Ibis SOP programme. In that accompanying chart, where these are available are highlighted in black. What this means is that the Ibis monitoring programme will automatically build in improved communications policies as part of the overall development of the organisation.

What can it do to improve communication/ decision making?
When should it be introduced into company communication planning?

Employee suggestion scheme
Vital for improving enterprise performance – the most cost effective communication tool
As soon as possible via SOP
Customer satisfaction survey
Vital for improving quality of product/ service offering, and new product/ new service development
As soon as possible via SOP
Corporate governance
Establishes formal rules for availability of information to wide range of stakeholders
Stage by stage introduction from early growth phase of company – financials and action plan crucial initial first steps. Must be accompanied by good time management TWP
Business plan
Informs all stakeholders of where the enterprise has been and sets clear goals for the future
As soon as possible – publish edited highlights where necessary
Annual report
Can provide clear information about company performance and future direction
Essential for legal purposes; can be improved into powerful communication tool
Review meetings
Crucial to integrate key staff into operational and strategic developments of enterprise
Stage by stage introduction. Must be accompanied by action planning and good time management TWP
Planning meetings key suppliers/ customers
Improves understanding of suppliers/ customer requirements, improves integration with company operations
Key customers and suppliers should be linked in as sales/ orders reach significant levels
Document storage for wide availability
Enables all staff to access information and standard operating procedures
As soon as possible via company Intranet system – also create a magazine/ book/ manual/ SOP hard copy storage point (not necessarily a library)
Web site
Has multiple functions. Serves as on-line brochure, and can be rapidly updated. Provides e-commerce platform which provides service information for both suppliers and customers
As soon as possible, provided responsibility is defined for management and regular updating
Provides reference site for regulatory notices; social events; company progress
As soon as possible – but responsibility must be assigned for upkeep
Provides stakeholders/ potential stakeholders with continuing information
Depends on company circumstances
General meetings
Difficult to manage as a communication channel – better to deal in small groups
Only essential when major change has to be announced
Employment contract/ code of conduct/job description
Provides employees with clear information of what is expected of them
Legal requirement – good practice to make as clear and detailed as possible
Employee manual
Provides detailed information on operating procedures in form of collection of SOP material
Should be part of induction training
Disciplinary and grievance code
Provides clear information on how the enterprise will manage employee problems – creates reporting system in tandem
Should be introduced early and be accompanied by SOP
Customer complaint system
Provides key communication on customer perceptions of company and when properly handled can be positive sales tool
As soon as possible
Public relations
Provides company with low cost route to maintain contact with market when properly structured and managed
When company has reached platform
Formal communication – email, letter, telephone, fax
Needs specific policy to ensure that communication rather than time wasting element is maximised considerable potential for TWP
Careful introduction and management to ensure effectiveness, and regular review
Promotional expenditure
Part of the communication mix
When necessary
Formal/ informal

Canteen/ coffee room
Enables all staff to meet in environment conducive to discussion
Consider when possible
Premises design
Research suggests that involving staff in premises design can create environment that stimulates communication
Consider when possible
Team work
Enables staff to develop links within enterprise while completing a specific task
As soon as possible
Quality circles
Provides formal platform for informal discussions about company performance
Link with quality assurance programme including ISO
Permits two way information on employee perception of enterprise and enterprise view of employee (360o)
Starts within first year of enterprise and is programmed on regular basis
Job design/ rotation
Ideal for improving understanding and links within the organisation
Worth thinking about regularly
Motivation design
Can link with appraisal in providing individual solutions to job satisfaction – ideal communication channel
Worth thinking about regularly
Compensation design
Bonus systems linked to group performance can certainly influence communication
Worth thinking about regularly
Induction training
Provides ideal platform for creating informal links within organisation
Vital at early stage
Maintenance training
Provides means of developing team cohesion if provided in-house with case study/ project content
Needs to be part of developing company programme
Development training
Provides means of developing team cohesion if provided in-house with case study/ project content
Needs to be part of developing company programme

Management by walking about
Very good communication channel providing that management style is appropriate
Individual decision
Face to face discussions
Ideal communication channel is management style is appropriate
Individual decision
Social gatherings

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