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What is Big Data?

• by Refresh Science
• February 19, 2023 February 19, 2023

Big data is the type of data which is collected from multiple sources and processed for various purposes.

It is a new term which is gaining popularity in recent years. With the increasing use of internet and smartphones , we are generating an enormous amount of data every second. The growth of big data is a result of huge advancement in technologies. It is very much possible that you have generated a lot of data in your lifetime.

As per statistics, every person generates around 3.2 TB of data per month. There are different types of data which are generated by us. These include text, images, video, etc.

There is an increasing trend of storing data in the cloud and in a server. These days, people prefer to use mobile devices rather than desktop computers. Mobile phones and tablets are the main sources of data generation.

The growing popularity of social media and online shopping websites has also increased the amount of data generation.

Big data is an amalgamation of all the information which has been gathered from multiple sources. It can be stored in a database.

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How is big data used.

Big data has made a major impact in the world of IT. It has revolutionized the way businesses operate and manage their operations.

Big data has a variety of applications and uses. Here are the top 5 popular big data applications:

1. Ecommerce

Big data is a major driving force behind the emergence of ecommerce. It is the most powerful tool for improving and facilitating online transactions.

Companies like Amazon, eBay, and Flipkart have made the world of ecommerce a lot easier. These companies have helped millions of people to buy products from any corner of the world.

Amazon has helped hundreds of thousands of sellers to increase their business and make it a success. It has become a major platform for people to sell their products.

eBay has also helped a lot of small entrepreneurs to earn a lot of money. It has also helped millions of buyers to find products at affordable prices.

2. Analytics

Analytics is the most effective method to predict future trends and patterns.

It helps companies to find the best solutions and strategies to optimize their operations. Companies like Google, Facebook, and Twitter have used analytics to predict the demand for a product and offer it to the customers in the best way.

3. Marketing

Marketing is the process of attracting potential clients through various techniques.

Companies like Facebook and LinkedIn have used marketing to attract potential clients and drive sales.

4. Research

Companies have started using big data to conduct research to understand the consumer behavior better.

It helps them to improve their products and services. Companies like Google, Facebook, and Amazon have used research to understand the consumer behavior better.

5. Customer relationship management

It is a way to keep track of a customer’s buying history and preferences.

It helps to create a better relationship with the customers . Companies like Facebook, Amazon, and Google have used CRM to build a good relationship with their customers.

Conclusion:

The growth of big data has led to significant advancements and changes across various industries and fields. With the emergence of sophisticated tools and techniques, the processing and analysis of vast amounts of data have become possible, allowing businesses to gain valuable insights into consumer behavior, market trends, and other critical aspects.

The expansion of big data has also resulted in the development of new job roles, such as data scientists and analysts, contributing to the growth of the job market. As big data continues to evolve and expand, it is expected to play an increasingly significant role in shaping the future of various sectors, including healthcare, finance, and education. With the right approach and application, big data has the potential to fuel innovation, drive growth, and solve complex problems.

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Introduction to Big Data

Published by Gervase Carpenter Modified over 6 years ago

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Big Data Presentation Templates

Want to succeed in business this is for you discover this set of free big data powerpoint templates and google slides themes to help you improve your operations, provide better customer service, and to increase your profits. please create an action. no delay get it now.

Free Big Data PowerPoint Templates And Google Slides Themes: Simplifying Complex Ideas with Engaging Slides

• Royalty-Free: No need to worry about copyrights. Our slides are yours to use without any extra costs.
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What is big data analytics.

Big data analytics is advanced analytic techniques against huge, diverse data sets that include structured, unstructured, and semi-structured data from different sources and sizes.

What are Big Data Presentation Templates?

These are customizable slides designed to simplify the communication of complex data. They visually enhance information related to big data, making presentations engaging and easy to understand.

How can I use Big Data Presentation Templates in my business?

You can leverage these templates to convey intricate data insights during meetings, conferences, or client presentations. These templates assist in making data-driven decisions more accessible and visually appealing.

How can I make Big Data Slides in a presentation?

Find readymade slides available online to make the best Big Data Slides in a presentation instantly. Our YouTube videos and tips and tricks pages will assist you in creating professional slides on your own.

Are these templates compatible with different devices?

Yes, our templates are fully compatible with various devices, ensuring seamless presentations on both PowerPoint and Google Slides. They adapt effortlessly to different screen sizes and orientations.

Why do we need Big Data PowerPoint Slides?

Big Data PowerPoint Slides can help you present big data concepts in a professional and visually engaging manner.

Where can I find Free Big Data PPT templates?

Free Big Data PPT Templates are widely available online. Choose the best one for your needs and amend them with your data. SlideEgg has creative slides to help you design professional presentations.

How to download the Big Data template for Powerpoint

How to download the template big data in google slides, description.

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Jul 16, 2016

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Big Data may well be the Next Big Thing in the IT world. The first organizations to embrace it were online and startup firms. Firms like Google, eBay, LinkedIn, and Facebook were built around big data from the beginning.<br>

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Presentation Transcript

CONTENT Introduction What is Big Data Big Data sources Characteristic of Big Data Storing and processing of Big Data Hadoop Why Big Data Tools used in Big Data Application of Big Data 10. Benefits of Big Data 1. 2. 3. 4. 5. 6. 7. 8. 9.

INTRODUCTION  Big Data may well be the Next Big Thing in the IT world.  The first organizations to embrace it were online and startup firms. Firms like Google, eBay, LinkedIn, and Facebook were built around big data from the beginning.  Like many new information technologies, big data can bring about dramatic cost reductions, substantial improvements in the time required to perform a computing task and service offerings.

WHAT IS BIG DATA  Big Data is a term for data sets that are so large or complex that traditional data processing applications are inadequate.  If data reaches beyond the storage capacity and beyond the processing power. That data we are calling as ‘Big Data’.  Big Data generates value from the storage and processing of very large quantities of digital information that cannot be analyzed with traditional computing techniques.  We all live in data world. We need to store data and process the data.

WHAT IS BIG DATA How we are getting these much data these years. Walmart handles more than 1 million customer transactions every hour. Facebook handles 40 billion photos from its user base. Boeing 737 will generate 240 terabytes of flight data during a single flight across the US.

BIG DATA SOURCES Mobile Devices Microphones Readers/Scanners Science facilities Programs/ Software Social Media Cameras

THREE CHARACTERISTICS OF BIG DATA V3S Volume •Data quantity Velocity •Data Speed Variety •Data Types

Application Of Big Data analytics Smarter Healthcare Multi-channel sales Homeland Security Telecom Trading Analytics Traffic Control Search Quality Manufacturing

1STCHARACTER OF BIG DATA VOLUME  Data is rapidly increasing (GB, TB, PB). 1024 mb = 1gb, 1024 gb = 1tb, 1024 tb = 1pb  The smart phones, the data they create and consume; sensors embedded into everyday objects will soon result in billions of new, constantly-updated data feeds containing environmental, location, and other information, including video

2ND CHARACTER OF BIG DATA VELOCITY  High-frequency stock trading algorithms reflect market changes within microseconds  Machine to machine processes exchange data between billions of devices  Infrastructure and sensors generate massive log data in real-time

3RD CHARACTER OF BIG DATA VARIETY Big Data isn't just numbers, dates, and strings. Big Data is also geospatial data, 3D data, audio, video and unstructured text, including log files and social media. Traditional database systems were designed to address smaller volumes of structured data, Big Data analysis includes different types of data

THE STRUCTURE OF BIG DATA Structured - Most traditional data sources Semi-structured - Many sources of big data. Unstructured - Video data, audio data coming. 12

STORING BIG DATA Analyzing your data characteristics - Selecting data sources for analysis - Eliminating redundant data - Establishing the role of NoSQL Overview of Big Data stores - Data models: key value, graph, document, column-family - Hadoop Distributed File System (HDFS) - HBase - Hive

PROCESSING BIG DATA  Integrating disparate data stores Mapping data to the programming framework Connecting and extracting data from storage Transforming data for processing Subdividing data in preparation for Hadoop MapReduce  Employing Hadoop MapReduce Creating the components of Hadoop MapReduce jobs Distributing data processing across server farms Executing Hadoop MapReduce jobs Monitoring the progress of job flows        

Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.. Core Concepts in Hadoop  HDFS (Hadoop Distributed File system)  Map Reduce (Technique for processing the HDFS )

HISTORY OF HADOOP Google in 2003, after 13 years of research came up with  GFS (a technique for storing )  Map Reduce (best processing technique)  But only made in white papers and not implemented. Later in 2005, Yahoo came up with a conclusion for managing huge data. (But they have taken the reference from google.)  HDFS  Map reduce Doug Cutting is the Inventor of Hadoop.

WHY BIG DATA •FB generates 10TB daily •Twitter generates 7TB of data Daily •IBM claims 90% of today’s stored data was generated in just the last two years.

TYPES OF TOOLS USED IN BIG-DATA  Where processing is hosted?  Distributed Servers / Cloud (e.g. Amazon EC2)  Where data is stored?  Distributed Storage (e.g. Amazon S3)  What is the programming model?  Distributed Processing (e.g. MapReduce)  How data is stored & indexed?  High-performance schema-free databases (e.g. MongoDB)  What operations are performed on data?  Analytic / Semantic Processing

BENEFITS OF BIG DATA  Real-time big data isn’t just a process for storing petabytes or exabytes of data in a data warehouse, It’s about the ability to make better decisions and take meaningful actions at the right time.  Fast forward to the present technologies like Hadoop give you the scale and flexibility to store data before you know how you are going to process it.  Technologies such as MapReduce, Hive and Impala enable you to run queries without changing the data structures underneath.  Big Data is already an important part of the $64 billion database and data analytics

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Big Data. Cross 11, Tapovan Enclave Nala pani Road, Dehradun 248001 Email: [email protected] Contact : +918979066357, +919027669947. Big Data. Introduction

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Big Data. What is it?. Massive volumes of rapidly growing data: Smartphones broadcasting location (few secs ) Chips in cars diagnostic tests (1000s per sec) Cameras recording public/private spaces RFID tags read at as travel through supply-chain . Characteristics of Big Data.

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Big Data. By: John Lawrence, Patrick Fletcher, Travis Stancil , Chasten Caluya. What is Big Data?. http:// www.youtube.com / watch?v =ahZGEusG13A. What is Big Data?.

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„Big data ”

„Big data ”. Benczúr András MTA SZTAKI. Big Data – the new hype. “big data” is when the size of the data itself becomes part of the problem “big data” is data that becomes large enough that it cannot be processed using conventional methods Google sorts 1PB in 33 minutes (07-09-2011)

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Big Data. Steven Gollmer Cedarville University. Working with Large Data. Accessing data Collection and calibration assumptions Selecting appropriate parameters Formatting Calculation Testing hypothesis. Hipparcos Space Astrometry. Main Page

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Big Data. Santi Apichairojkul System Consultant. 35 ZB. By 2020, the digital universe will be 44 times larger than it was in 2009. 61%. 5-6%. Of executives surveyed want more information when making a decision.

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Big Data – Big ROI

Big Data – Big ROI. Cathy Finney Deputy Vice President, Strategic Services The Wilderness Society Chuck Pruitt Co-managing Director, AB Data Kevin Moran Principal, Integral. # AtTheBridge. Session Objectives. Learn how to put together a strong case to leadership for growth.

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Big Data. Lecture 5: Estimating the second moment, dimension reduction, applications . The second moment. A , B , A ,C, D , D , A , A , E , B , E , E ,F,…. The second moment: . Alon , Matias , Szegedy 96. Gödel Prize 2005. Maintain: . Alon , Matias , Szegedy 96. Gödel Prize 2005.

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Big Data. LEADING edge for consumer acquisition and competitive advantage. Robert Skinner Country Manager, Australia / New Zealand eGentic Asia Pacific Pte Ltd / www.egentic.com/en Email: [email protected]. Leading Edge: Consumer Acquisition &amp; Advantage.

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BIG DATA. Nicolas Munoz. Topics. What is Big Data? Benefits &amp; Drawbacks How does it work? Companies doing Big Data Market for Big Data Applications of Big Data Future of Big Data Questions?. What is Big Data?. Large, complex collection of data sets

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BIG DATA. MBUS 626-01 - G4. Zoe Mayhook Bailee Neyland Crystal Side Michael Stuber. Big Data. Finding that Diamond in the Rough. Most common interpretation of big data is the systematic analysis of huge volumes of data to find patterns and behaviors that are not readily apparent.

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Big Data. Why Folks Like It: . Why Folks Fear It tp;opo. Big Privacy Losses Big Brother Data abuse? Regulatory increases? Regulatory abuse? Supplier intrusion? More management work? Less competitive advantage?. Big Knowledge Gains Big Potential Yield increases? Variety selection?

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Big Data. Bijan Barikbin Denisa Teme Matthew Joseph. Background. Definition: “Data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process the data within a tolerable elapsed time” Defining characteristic Real time information delivery.

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BIG DATA. HADOOP. Background. The exponential growth of data –Challenges for Google,Yahoo,Amazon &amp; Microsoft in web search and indexing

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We offer excellent development services for Big Data Projects. Our Development services complement open-source Big Data platforms like Apache Hadoop , MongoDB , HBase and Mahout. These include architectural, implementation help and technical support for BigData technologies in development or in production.

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Big Data Training | Big Data Courses | Big Data Online Courses

Explore the Big data courses of IIHT that is handcrafted to meet the industry requirements. The Big data online course trains on the niche technologies of big data with its unique learning methodology. In the Big data training module, the skilled learners will be exposed to the live interactive sessions with real-time projects for hands-on experience.

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Big Data Big Data

Part of the SNS Worldwide group, SNS Telecom & IT is a global market intelligence and consulting firm with a primary focus on the telecommunications and information technology industries.

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Big Data. Introduction. The 5 Vs of Big Data Hadoop SQL on Hadoop Apache Spark. The 5 Vs of Big Data. Every minute: more than 300,000 tweets are created Netflix subscribers are streaming more than 70,000 hours of video at once Apple users download 30,000 apps

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Big Data. Internet2 Day Presentation Dr. Greg Newby, ARSC http://people.arsc.edu/~newby. Mandelbrot Set. Big data are getting Bigger! Networks aren’t keeping up Even small users need big data The biggest data are really, really big!

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Big Data Visualization PowerPoint Templates

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Big Data Visualization PowerPoint Templates: It includes 48 slides

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Big Data Diagram PowerPoint Template

Customize our creative Big Data Diagram PowerPoint Template to display the 10 Vs of big data engagingly. Big data deals with large and complex data sets that are obtained from various sources and have the potential to grow exponentially over time. Structured, unstructured, and semi-structured data; thus, all types of data are included in big data. Conventional data processing measures proved to be ineffective when dealing with big data. With modern developments in information technology, the significance of data is more important than ever. Organizations use big data from social media, websites, mobile applications, and other resources to make informed decisions based on the buyer persona. This can help them understand their customers’ perspectives and tailor their marketing strategies accordingly. 

We have created this big data template so data professionals can leverage it for educational and business presentations . Big data has a set of characteristics mostly referred to as Vs of Big data: Visualization, velocity, variety, variability volume, value, integrity, volatility, validity, and vulnerability. Data engineers, data scientists, and analysts can use the data warehousing templates for strategic planning presentations . Moreover, presenters can brief investors and stakeholders about how your company integrates big data into their processes.

The template consists of two slides with a unique, colorful diagram. The bright color scheme of the diagram engages the audience and captives their attention. The first slide has a circular diagram segmented into 10 parts. Each part contains an infographic icon relevant to the point. We have provided 10 editable text boxes showing the Vs of big data—a line pointer points from the textboxes towards the associated graphical icon in the diagram. In the second slide, each V is displayed along with its circular segment with the corresponding numbers from one to ten. Two additional text boxes are also available in the slide where users can write brief details about the topic.  

Utilize this slide template as an artificial intelligence PowerPoint to make interactive presentations displaying the use of big data in AI and cloud computing. Do not wait; download this Big Data Diagram PowerPoint Template and edit it now!

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Data Presentation templates

Data are representations by means of a symbol that are used as a method of information processing. thus, data indicate events, empirical facts, and entities. and now you can help yourself with this selection of google slides themes and powerpoint templates with data as the central theme for your scientific and computer science presentations..

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