Name: 7th International Conference on Big Data and Analy
Start: 2023-12-07
End: 2023-12-09
Location: Spain

Conference Information

Welcome Message

Welcome Message

The "7th International Conference on Big Data and Analytics," which will be held in Madrid, Spain on December 07-09, 2023, is being enthusiastically welcomed by Big Data conferences 2023. Data analytics and technology developments are the main topics.

All of the top data scientists, engineers, analysts, software developers, technical leaders, researchers, head data scientists, head researchers, IT managers, entrepreneurs, business analysts, business strategists, and consultants from all around the world are invited to the Big Data 2023 Conference.

At Big Data conference 2023, you may learn about the most recent innovations in the field of data analytics, such as data extraction, pre-processing, and retrieval, as well as other advancements, from the most inspirational professionals and speakers in the world. The forum "Unleash the real power of Data Analytics" seeks to exchange targeted and study data analytics advancements and to enhance data handling and retrieval. Everyone can now more easily comprehend the scope and importance of particular research done in the area of big data and analytics.

The journals are supporting major creators from around the world to communicate and exchange their fresh ideas and innovative plans with the rest of the planet, with the crucial goal of disseminating persistent comprehension relating to numerous contemporary situations. The journals serve as effective platforms for a variety of scientists, including Data Scientists, Data Analysts, specialists, and understudies, as well as other well-known members of the relevant community on the forum.

-The Committee in Charge of the Event (Big data conference 2023)

About us

Dear Associates, Analysts and Companions,

The annual gathering of scientists, analysts, researchers, academicians, and IT businesspeople working in the fields of software engineering, information framework, cyber security, engineering, and related fields is called the International Big Data and Analytics Conference. Big Data 2023 may be covered in the conference in 2023. We anticipate that this gathering will draw countless participants from throughout the globe and feature a staggering array of technical presentations.

Big data conference 2023 will open up a discussion for Data Scientists from all over the world and business to advance the most cutting-edge research and development in big data within the burgeoning fields like Internet of things (IoT), Data Mining, Natural Language Processing, Networking, and machine security. Welcomed keynotes, oral introductions, and poster presentations will all be part of the day's events.

Big Data conference 2023 invites for Data Scientists, Data Engineers, Data Analysts, Software Engineers, Technical Leads, Researchers, CEOS, CTOS, CIO, and other Head Facts Scientists, Head Experts, IT Managers, Data Scientists, Business Analysts, Technical Leads, and System Architects from everywhere in the conference arena.

Welcome to the "7th International Conference on Big Data and Analytics," also known as Big Data conference 2023, which will take place in Madrid, Spain. An energetic and educational assembly programme as well as unique activities for members from everywhere in the arena are being prepared by the organising committee.

Target Audience for the conference:

Data Scientists

Data Engineers

Data Analysts

Software Developers

Technical Leads

Researchers

System Architects

CEOS, CTOS, CIO etc

Head Data Scientists

Head Researchers

IT Managers

Entrepreneurs

Business Analysts

Business Strategist’s

Consultants

Why to Attend:

You may learn tested techniques from leading businesses in telecoms, financial services, entertainment, retail, government, and more at the most diversified Big Data Conferences.

You can access more specialised content during concurrent sessions. Select the technical or business course that best suits your needs to get the information you need.

Imitate successful data analytics and monetization methods used by leading big data firms.

Consult both corporate executives and technological experts for information.

The fact that there is always something new to learn in the field of data science and that this conference is at the forefront of the most recent advancements is undoubtedly the biggest benefit of attending.

It's the best forum for meeting like-minded individuals and exchanging viewpoints.

Big Data conference 2023 is a showcase of cutting-edge artificial intelligence and big data technologies, giving you the ability to investigate and learn how to successfully apply these technologies in your business to advance it into the future.

Conference Highlights

Big Data
Big Data Analytics
Big Data Models and Algorithms
Big Data Technologies
Big data analytics in cloud
Artificial Intelligence and Machine Learning
Iot In Big Data
Big Data and Robotics
New Visualization Techniques
Social Network Analysis
Business Analytics
Big Data in Nursing Research
Big Data analytics in Healthcare and Medicine
Forecasting from Big Data
Nanoinformatics
Security and privacy of big data
Big data Applications, challenges and opportunities
Data Science vs Big Data
Industry Solution through Big data
Renewable energy forecasting with big data

Tracks & Sessions

Session 1: Big data

Big Data is a group of statistics this is big in volume but developing exponentially with time. It is a statistic with so massive length and complexity that none of conventional statistics control equipment can shop it or method it efficiently. Big statistics is likewise a statistic however with big length. Effectively harnessing the value of Big Data requires experimentation and investigation. During this session, the researcher can discuss Big Data drivers, features, types, challenges, applications, of Hadoop in Big Data.

Data types for Big data
Big Data Analytics Adoption

Associated Journals: International Journal of Business Intelligence and Data Mining | International Journal of Data Science and Analytics | Journal of Big Data | Foundations and Trends® in Machine Learning | Computational Statistics & Data Analysis by International Association for Statistical Computing (IASC) | Big Data Research | International Journal of Data Mining & Knowledge Management Process | Big Data Challenges - Situation Awareness and Decision Support | Impacts and investigations of disruptive technologies for Industry 4.0 | International Journal of Database Management Systems.

Associated Society: Association of Data Scientists (ADaSci) | The American Statistical Association (ASA) | The Data Science Council Of America (DASCA) | The Institute for Operations Research and the Management Sciences (INFORMS) | Data Science Africa (DSA) | Association of Data Scientists | American Statistical Association | International Conference on Data Mining | International Institute for Business Analysis | European Knowledge Discovery Network of Excellence | Web Analytics Association | Advanced Analytics Institute

Session 2: Big Data Analytics

Big Data Analytics examines and analyzes huge amounts of data, i.e Big data to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help companies make more informed business decisions. Software can pave the way for Big Data Analytics to deliver various business benefits, including new revenue opportunities, more effective marketing, improved operational efficiencies, competitive advantages, and better customer service

Benefits of Big Data Analytics
Barriers to Big Data Analytics
Volume Growth of Analytic Big Data
Managing Analytic Big Data

Session 3: Data model and algorithm

A data model is a strategy for composing and storing data. A data model encourages us and organises data according to administration, access, and use, much like the Dewey Decimal System does for books in a library. Big Data is information that is so large that it cannot fit in the primary memory of a single machine. The necessity to process big data using expert algorithms occurs in areas such as Internet search, traffic monitoring, AI, logical figuring, signal behaviour, and a few others.

Big data is data that is too large to fit in a single system's main memory, and the necessity to process big data using organised methods arises in machine learning, scientific computing, signal processing, and Internet search, network traffic monitoring, and other domains. To turn data into useful information, advanced tools (analytics and algorithms) must be used.

Data Stream Algorithms
Randomized Algorithms for Matrices and Data
Algorithmic Techniques for Big Data Analysis
Models of Computation for Massive Data

Session 4: Data technologies

Huge volumes of data are referred to as "big data." Because the data originates from a multitude of sources, it may be too varied and large for traditional technology to handle. As a result, having the expertise and infrastructure to handle it wisely is critical. Many of the big data solutions that are particularly popular right now are suitable for use in this context.

GEOSS clearinghouse
Distributed and parallel computing
Big data storage architecture

session 5: Big Data analytics in cloud computing

Cloud computing is the provision of computing services (servers, storage, databases, networks, software, analytics, etc.) Cloud computing relies on resource sharing to achieve synergies and economies of scale, like a utility. The companies that provide these computing services are called cloud providers and typically charge for cloud computing services based on usage.

Cloud computing provides on-demand computing resources and services. Users can easily assemble the desired infrastructure of compute instances and cloud-based storage resources, connect cloud services, upload datasets, and perform analytics in the cloud. cloud. Users can commit virtually unlimited resources to the public cloud, use those resources for as long as needed, and then ignore the environment, paying only for real resources and services that used.

Cloud Computing Applications
Cloud Automation and Optimization
High Performance Computing (HPC)
Mobile Cloud Computing

Session 6: Artificial intelligence and machine learning

Automated thinking is data executed by machines or software represented by machines, unlike natural intelligence displayed by humans and other animals. The assessment of AI is surprisingly distinctive and focused, and largely isolated from sub-fields that often hate arguing with each other. It underpins artificial creativity, artificial neural structures, adaptive systems, cybernetics, ontology, and knowledge sharing.

Machine learning is a data analysis method that automates the creation of analytic models. This is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention.

Cybernetics
Artificial creativity
Artificial Neural networks

Session 7: IOT In Big Data

Internet of Things (IoT) refers to a system of interconnected, Internet-connected objects capable of collecting and transmitting data over a wireless network without human intervention.

The Internet of Things, or IoT, is a network of interdependent physical devices, computing devices, mechanical and digital machines, objects, animals, or people that are assigned a unique identifier ( UID) and the ability to connect, collect, and exchange data or to transmit data. over the network without requiring human-to-human or human-computer interaction

Medical and Healthcare
Transportation
Environmental monitoring
Consumer application

Session 8: Big Data and Robotics

Robotics is the time period applied in laptop technological know-how that offers with a have a look at of creating sensible and good value robots. Almost all of the sports going on across the robotic and inside the surrounding surroundings is perceived through the robots. Robots feel and understand thru their integrated sensors to be able to be aware about what’s going on round them. Robotic generation high-powered through AI has usually been regarding analytics from its advent. Robots have the capacity of sensing and perceiving know-how thru their sensors. For years currently, we've trusted technology and borrowed analytics from methodologies including gadget gaining knowledge of and lots of others. However, synthetic intelligence regularly got here up with a few authentic evaluation and strategies. These strategies are generally designed for locating synthetic intelligence related problems, but later they may be used for any application.

The consultation deliberation is on Robotics, Robot locomotion, Computer vision, Advanced robotics, Robot Dynamics, Nuclear robotics, Human robotic interaction, Micro and Nano robots, Robotic Rehabilitation Systems, Autonomous Robots, Cognitive Robotics, Neural network, Research on Robotics, Applications of Robotics at Big Data 2022 at webinar.

Neural network
Rehabilitation systems
Nano robotics

Session 9: New Visualization Techniques

Information illustration is visible with the aid of using severa orders as a gift likeness visible correspondence. It isn't held with the aid of using any person field, but as a substitute discovers translation crosswise over severa. It covers the association and research of the visible illustration of information, indicating "information that has been dreamy in a few schematic structure, which include attributes or variables for the devices of information".

Open Data, Government and Governance
Scalar visualization techniques
Framework for flow visualization
Future trends in scientific visualization

Session 10: Social Network Analaysis

Social network analysis (SNA), also known as network science,is a subject of information analytics that makes use of networks and graph idea to apprehend social structures .Social network analysis (SNA) is the development system of searching at social systems via the usage of networks and graph theory. It characterizes networked systems in phrases of lumps (person actors, people, or matters inside the community) and the ties, edges, or links (relationships or interactions) that join them.

Development of social network analysis
Analyzing relational data
Networks and relations.

Session 11: Business Analytics

Analytics is at the vanguard of enterprise growth, serving as an critical keystone to evaluate what has passed off withinside the past, and have an impact on your company’s future. Improving common overall performance throughout agencies of various sizes – agencies who embody analytics permit their IT departments to provide effects on efficiency. The attention of this consultation is Business Intelligence vs Business Analytics, Benefits of the use of enterprise analytics, Challenges that include the adoption of enterprise analytics, Mistakes made in enterprise analytics, Outsourcing enterprise analytics, Top enterprise analytics equipment and so on.

Emerging phenomena
Technology drives and business analytics
Capitalizing on a growing marketing opportunity
Correlation Analysis
Linear Programming
Neural Network Analysis

Session 12: Big data in nursing research

With advances in technologies, nurse scientists are more and more more producing and the usage of massive and complicated datasets, from time to time called “BigData,” to sell and enhance Health Conditions. New techniques for gathering and specific exam massive datasets will permit us to higher recognize the biological, genetic, and behavioural underpinnings of health, and to enhance the manner we save you and manipulate illness.

Methods, tools and processes used with big data with relevance to nursing
Big Data and Nursing Practice.
Big Data Technologies.

Session 13: Big Data analytics in Healthcare and Medicine

Big data is in prolonged use withinside the subject of medication and healthcare. In healthcare, big quantities of heterogeneous scientific statistics have turn out to be relevant in diverse healthcare organizations. The enormity and complexity of those datasets gift exquisite demanding situations in analyses and next programs to a sensible scientific environment. As era increases the value of healthcare is likewise growing greater and greater. Big statistics is a exquisite assisting hand in this issue. It is a exquisite assist for even physicians to hold song of all of the patients’ history.

Data mining and processing in bioinformatics, genomics, and biometrics
Bio-Surveillance
Electronic Health Records
Real-time Alerting

Session 14: Forecasting from big data

Big Data is a modern phenomenon has currently won a few interest in reaction to the supply of exceptional quantities of facts and more and more more state-of-the-art algorithmic analytic techniques. Big facts play a vital position in reshaping the important thing components of forecasting through figuring out and reviewing the problems, potential, higher predictions, demanding situations and most significantly the associated applications.

Challenges for Forecasting with Big Data.
Applications of Statistical and Data Mining Techniques for Big Data Forecasting.
Forecasting the Michigan Confidence Index.
Forecasting targets and characteristics.

Session 15: Nanoinformaics

Nanoinformatics is the technology and exercise of figuring out which data is applicable to the nanoscale technology and engineering community, after which growing and enforcing powerful mechanisms for collecting, storing, validating, modelling, applying, analysing and sharing that data. Nano informatics additionally entails the usage of networked conversation equipment to release and assist green groups of exercise. Nanoinformatics is important for clever improvement and comparative characterization of nanomaterials, for layout and use of optimized Nanodevices and Nanosystems, and for improvement of superior instrumentation and production processes.

Nanomaterials Development Using Nanoinformatics
Meta data for Cross-discipline, Cross-sector Information Exchange
Meta-crawler for Mining Nanotechnology Repositories and Open Access Sources
Nano SAR Education and Dissemination
Simulation Resources and Challenge.

Associated Journals: International Journal of Business Intelligence and Data Mining | International Journal of Data Science and Analytics | Journal of Big Data | Foundations and Trends® in Machine Learning | Computational Statistics & Data Analysis by International Association for Statistical Computing (IASC) | Big Data Research | International Journal of Data Mining & Knowledge Management Process | Big Data Challenges - Situation Awareness and Decision Support | Impacts and investigations of disruptive technologies for Industry 4.0 | International Journal of Database Management Systems.

Associated Society: Association of Data Scientists (ADaSci) | The American Statistical Association (ASA) | The Data Science Council Of America (DASCA) | The Institute for Operations Research and the Management Sciences (INFORMS) | Data Science Africa (DSA) | Association of Data Scientists | American Statistical Association | International Conference on Data Mining | International Institute for Business Analysis | European Knowledge Discovery Network of Excellence | Web Analytics Association | Advanced Analytics Institute

Session 16: Security and privacy of big data

In our electronic world, information protection and cyber security become respective terms. In this business, we are committed to keeping our customers' information, which has been obtained with their permission, only for their use. It is an important factor if it is no longer directly evident. There's been a lot of overdue communication about Google's new privacy practices, and this conversation suddenly extends to other internet beasts like Facebook and the way they likewise manage and deal with our very own data.

Public key cryptography
Quantum Cryptography
Adaptive Systems
Data encryption
Data Hiding

Session 17: Big data application ,challenges,opportunities

Big data has increased the need for fact-checking to such an extent that most of the major software companies in the world are investing in software companies that specialize in fact-testing and analysis. By a difficult calculation, one third of the data recorded in the world is in the form of text content alphanumeric and however image information this is the most favorable layout for big data applications Best. Since most of the information is generated instantaneously in a virtual setting, we have the ability and risk to convince the birth to facilitate subsequent linking and hyperlinking the robot to the generated information. before. There are distinct steps in the big data pricing technique and a few demanding and not-so-unusual situations that underlie many, and sometimes all, of these steps.

Ecommerce and customer service
Manufacturing
Telecommunication
E-Government
Public administration.
Financial aspects of Big Data Industry
Biomedicine
Finances and Frauds services
Web and Digital Media

Session 18: Data science vs big data

Data science has become a whole new platform for organizations, turning mountains of data into actionable business insights that each affect a part of the business. Reality's ability to apply its technological know-how to make choices transparently and responsibly depends on many factors. Understanding data technology and device proficiency bridge the gap between the big truth and the usable truth. Technological automation of truth technology is reshaping the way app makers and builders across all industries work with major events. Before automation, it took months of data accumulation to determine which use cases could be brought to production. New automation technologies have removed guiding strategies tied to technological know-how from reality, democratizing strategies for leveraging existing assets, and enabling faster valuations.

Machine learning for pattern discovery
Machine learning for making predictions
Predictive causal Analytics
Prescriptive Analytics
Business Intelligence vs Data Science

Session 19: Industrial solution through big data

By the assist of today’s era creation companies will honestly seize the statistics thru numerous gadgets and construct their methods that is good value and simplified. On the alternative hand, many organizations are seeking to shape and examine their statistics. Because of style of advantages, creation companies welcoming Big statistics implementation. During this time period, researchers will be able to speak about a variety of business solutions for big data via Banking and Securities, Communication, Media & Entertainment, Healthcare providers, Education, Manufacturing and herbal resources, Government sector, Insurance, Retail and complete sale trade, Transportation, Energy & Utilities and so on.

Banking and Securities
Communications, Media and Entertainment
Healthcare Providers

session 20: Renewable energy forecasting with big data

Hybrid Renewable Energy Forecasting (HyRef), which uses large facts analytics to count on the appropriable of renewable electricity. With the use of this tool, help convey more renewable electricity to the energy grid with the resource of the usage of predicting the availability of such electricity. It uses facts accrued from monitoring devices and analytical technology to generate accurate weather forecast internal renewable electricity tool devices.

Big Data and Analytics in weather forecasting
Advanced cloud imaging technology
Data sources, Ingestion, Processing and Storage Layer
Predicting Weather Conditions Based on Historical Data
Economic Growth in Renewable Energy Industry

Market Analysis

According to our analysts, large records analytics examines the unstructured and structured document to examine and deliver understandings grounded on connection, concealed configurations, numerous traits withinside the marketplace, and masses of more.

The international Big data analytics marketplace length changed into USD 206.95 billon in 2020.The international effect of COVID-19 has been unparalleled and staggering,with huge facts analytics witnessing a terrible effect on call for throughout all location amid the pandemic.Based on our analysis,the worldwide marketplace exhibited a full-size increase of 11.7% in 2020.

The marketplace is projected to develop from USD 231.43 billion in 2021 to USD 549.73billion in 2028 at a CAGR of 13.2% withinside the 2021-2028 period. The upward thrust in CAGR is as a consequence of his marketplace’s call for and increase,returing to pre-pandemic is over.

Big data analytics look at the unstructured and dependent database to visualise and offer insights primarily based totally on correlation, hidden patterns, the marketplace’s converting trends, and more. The industries are that specialize in utilising analytical gear to advantage purchaser insights through advancing enterprise intelligence. For instance, in December 2020, Amazon, Inc. delivered HIPPA-eligible facts analytics services, Amazon HealthLake, for the healthcare enterprise that gives real-time affected person facts insights.

Growth trend towards edge computing to increase demand for analytical tools

The number of linked IoT gadgets is growing because of the developing adoption of the Internet of things (IoT), synthetic intelligence (AI), and system learning(ML) algorithms. According to IDC information, 152,200 IoT gadgets will join each minute through 2025. The developing call for for linked gadgets is boosting the implementation of side computing. Edge computing answers are described as a framework in which processors are placed towards the supply or vacation spot for information as opposed to clouds.

Data saved near supply or vacation spot saves time for information add on cloud or on-premises and lowers the weight on servers and community. With the functionality to technique information in real-time and faster reaction time, side computing is in particular relevant to Industrial IoT. For instance,

In May 2021, Telefónica Tech, a virtual commercial enterprise company, collaborated with Microsoft on Azure Edge Zone. The settlement combines Telefónica’s 5G connectivity and Microsoft Edge computing capabilities, permitting business methods to force virtual transformation.

In May 2020, IBM and RedHat brought New Edge computing answers for telecommunication organizations to hurry their transition withinside the 5G era. IBM offerings groups committed to side computing and telco community cloud to resource clients to offer 5G and side empowered answers throughout all trades.

Thus, the developing shift toward side computing to in addition improve database amount is predicted to gas the destiny possibilities of this market.

By Application Analysis

A significant increase in structured/unstructured data will fuel analytics demand for data discovery and visualisation.

Based on application, the marketplace for huge information analytics is categorised into information discovery and visualization (DDV), superior analytics (AA), and others (information preparation, and others.The information discovery and visualization are in all likelihood to advantage most section percentage all through the forecast period. The swiftly developing based and unstructured information piles are in all likelihood to gasoline the call for for analytics answers for information discovery and information visualization. Large organisations are making use of information analytics to advantage huge insights for his or her decision-makers.

Advanced analytics is in all likelihood to advantage enormous boom all through the forecast period. Organizations are enforcing the era with superior technology to acquire significant styles from any database. The integration of device studying and information mining in superior analytics is anticipated to surge the call for for information analytics. For instance, in 2016 German banking zone shifted to superior analytics, and inside a three-yr span, its cost-to-profits ratio multiplied with the aid of using 75%. Advanced analytics enables in improving aggressive gain in any unfavourable environment.

By Vertical Analysis:

Based on vertical, the marketplace is labeled into bfsi, government, retail, manufacturing, it & telecom, healthcare and existence sciences, and others (automotive, and others.)

Bfsi is anticipated to benefit most sales percentage withinside the enterprise vertical because of the drastically developing patron base. The implementation of records analytics is assisting the bfsi enterprise acquire, develop, and preserve clients efficiently. For instance, to cater to extra than forty seven mn clients throughout 30 countries, a economic provider company bbva carried out a social media analytic device to benefit product and logo photo insights. Similarly, singapore-primarily based totally citibank gives retailing reductions primarily based totally on transaction styles to preserve clients.

Retail is anticipated to witness increase at a cagr appreciably excessive all through the forecast period. Retailers are imposing superior analytical equipment to apprehend patron possibilities and dynamic marketplace developments to decorate patron experience. For instance, on line retails offer product hyperlinks that promote together, which, in turn, facilitates in extra income and patron satisfaction. Similarly, the significant consumer base of the it and telecom quarter is riding the large records analytics demand. Also, healthcare and existence technology industries are transferring on analytics equipment to apprehend the patron's wishes and enhance healthcare employee and affected person provider

Key industry players:

Strategic Acquisitions to Accelerate Key Players' Market Expansion

The key players are making an funding in imparting new and progressive analytics applications at some point of all business enterprise segments. Major market game enthusiasts make bigger the scope of underlying data to create novel solutions, enhance their gadget and technology, and decorate their analytics and technology solutions capabilities. Also, through the collaboration, the businesses are gaining knowledge and growing their business enterprise thru engaging in a mass purchaser base. The key game enthusiasts adopt this method to mix solutions on the cloud-based absolutely data platform. Through the strategic acquisition, the essential element game enthusiasts are specializing in market percent increase and purchaser reach. February 2021 – Salesforce obtained U.S.-primarily based totally Acumen Solutions, an enterprise answers company, to boom income revenue, consumer engagement and worker productivity. Through this acquisition, the corporation pursuits to boost up and supply improvements thru its Customer 360 Platform. July 2020 – Microsoft Corporation obtained Orions Systems, a records evaluation carrier company situated withinside the U.S., to make bigger Dynamics 365's capabilities. This acquisition allows outlets and different agencies to layout and train their personal AI fashions to adapt, optimize, and study from their physical spaces.

List of the Key Companies:

Microsoft Corporation (Washington, U.S.)
Dun & Bradstreet Holdings, Inc. (New Jersey, U.S.)
Equifax, Inc. (Georgia, U.S.)
IBM corporation (New York, U.S.)
Salesforce.com,inc. (California, U.S.)
SAP SE (Walldorf, Germany)
Verisk Analytics Inc. (New Jersey, U.S.)
Dow Jones & Company, Inc. (New York, U.S.)
Moody's Corporation (New York, U.S.)
Oracle corporation (Texas, U.S.)
SAS Institute Inc. (North Carolina, U.S.)
QlikTech International AB (Pennsylvania, U.S.)
TransUnion (Illinois, U.S.)
Fair Isaac Corporation (California, U.S.)
Experian Information Solutions, Inc. (California, U.S.)

Metrics

Pulsus Group is one of the world’s remarkable Scientific Conference Organizers who have their individuality on all the spectrums of Science, Technology and Business. A part of every conference series’ success specifically hangs on to how far it reaches the online community. Having an online audience is critical to make an international gathering a great success; be it research or academic or industrial.

Research personnel, Academicians, Research institutes, Industrialists, Entrepreneurs, Consultants and students from the field of Big Data are the key participants who show intense desire in attending the Big Data conference put forth by Pulsus conferences. Conferences based on Big Data and Analytics shows a significantly large number of unique visitors and page views which were proved to be a thriving success. The readership metrics shown below are as follows,

Data Science Metrics:

Pulsus Conferences Metrics:

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