Big Data Analytics and Data Processing

About Conference

Conference series LTD cordially invites all participants across the globe to attend the Global Meeting on Big Data Analytics and Data Processing which is going to be held during April 15-16,2019 in Hong Kong, China  to share the Future Technologies for Knowledge Discoveries in Data" and technology. The main theme of the conference is “Advancement Big Data". This conference aimed to expand its coverage in the areas of Big Data and Data Mining where expert talks, young researcher’s presentations will be placed in every session of the meeting will be inspired and keep up your enthusiasm. We feel our expert Organizing Committee is our major asset. However, your presence over the venue will add one more feather to the crown of Big Data 2019.

Big Data is the name given to huge amounts of data. As the data comes in from a variety of sources, it could be too diverse and too massive for conventional technologies to handle. This makes it very important to have the skills and infrastructure to handle it intelligently. There are many of the big data solutions that are particularly popular right now fit for the use..

Big data analytics probe and analyses huge amounts of data to i.e., big data - to uncover hidden patterns, unknown co-relations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. Operate and carry by specialized analytics systems and software, big data analytics can lay the way to various business benefits, including new revenue opportunities, more effective marketing, improved operational efficiency, competitive advantages and better customer service.

Target audience for the conference:                

• Academicians
• Directors/CEO.
• Managers/Engineers.
• Researchers from top universities
• Scientists from top research institutes
• Scholars
• Data Analysis Students, Scientists
• Data Analysis Researchers
• Data Analysis Faculty
• Data Analysis Associations and Societies
• Business Entrepreneurs
• Training Institutes
• Manufacturing Companies
• Cloud Computing and Data Analysis Engineers
• Industrial Professionals
• Students

Why to attend

Big data Analytics & Data Process tiles a platform to globalize the research by installing a dialogue between industries and academic organizations and knowledge transfer from research to industry. Big data Analytics 2019 aims in proclaim knowledge and share new ideas among the professionals, industrialists and students from research areas of Cloud Computing, Data Analysis, Fog Computing and Mobile Cloud Computing to share their research experiences and indulge in interactive discussions and special sessions at the event. With members from around the world focused on learning about Cloud Computing and Data Analysis, this is your single best opportunity to reach the largest assemblage of participants from all over the globe. Conduct demonstrations, distribute information, meet with the current and potential customers, make a splash with a new product line, and receive name recognition at this 2-days event.

Intended Audience

The report is especially intended for entrepreneurs, investors, venture capitalists, and other readers with a need to know where the Big data market is headed in the next 5 years. Other readers who should find the report particularly valuable include Big data marketing executives and government officials associated with other state-level programs that promote the development of Cloud Computing industry. The report’s findings and conclusions should also be of interest to the broader Cloud Computing community.

World-renowned speakers, the most recent techniques, tactics and the newest updates along with the Advances in the fields of Cloud Computing.

Come be Part of it...!

Sessions/Tracks

Conference series LLC  cordially invites all the participants from all over the world to attend Global Meeting on Big Data Analytics and Data Processing  during January 30-31, 2019 in Bangkok, Thailand. This includes prompt keynote presentations, Oral talks, Poster presentations and Exhibitions.

Track 1-Data Analytics

Big data is data sets that are so capacious and composite that outdated data processing application software is inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, https://bigdataanalytics.enggconferences.com/sharing, transfer, visualization, querying, and updating and information privacy. There are three dimensions to big data known as Volume, Variety and Velocity

Related Societies:

National Centre for Data Mining, Chicago

Web Analytics Association, Florida

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

Related Big Data Conferences of Data Analytics:

3nd International Conference on Data Mining, Communications and Information Technology (DMCIT 2019) 24th - 26th May 2019  Beijing, China; 21st International Conference on Data Mining and Knowledge Management April 24 - 25, 2019, Boston, USA; 2nd International Conference on Data Mining and Knowledge Discovery April 26-28, 2019 Shanghai, China; SIAM International Conference on Data Mining (SDM19) SIAM International Conference on Data Mining (SDM19) May 2-4, 2019 Calgary, Alberta, Canada; The Twelfth ACM International Conference on Web Search and Data Mining 11-15 Feb 2019 Melbourne, VIC, Australia;

Track 2-: Big data technologies

Huge information brings open doors as well as difficulties. Conventional information process-sing has been not able meet the gigantic continuous interest of huge information; we require the new era of data innovation to manage the episode of huge information

Related Societies:

American Statistical Association, United States

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

The International Machine Learning Society, Germany

Related Big Data Conferences of Big data technologies:

2nd International Conference on Data Mining and Knowledge Discovery April 26-28, 2019 Shanghai, China; SIAM International Conference on Data Mining (SDM19) SIAM International Conference on Data Mining (SDM19) May 2

4, 2019 Calgary, Alberta, Canada; The Twelfth ACM International Conference on Web Search and Data Mining 11-15 Feb 2019 Melbourne, VIC, Australia; O’Reilly technology conference — Strata Data Conference 26-28 Mar 2019 San Francisco, California, United States; European Conference on Information Retrieval 14-18 Apr 2019 Cologne, Germany; SIAM International Conference on Data Mining 02-04 May 2019 Calgary, Alberta, United States; International Conference on Management of Data 30 Jun 2019 - 05 Jul 2019 Amsterdam, Netherlands;

Track  3-: Complexity in data structure and algorithm 

Huge information is information so vast that it doesn't fit in the fundamental memory of a solitary machine, and the need to prepare huge information by productive calculations emerges in Internet seeks, system activity checking, machine learning, experimental figuring, signal handling, and a few different territories. This course will cover numerically exhaustive models for increasing such calculations, and some provable confinements of calculations working in those models.

Related Societies:

IEEE Computer Society, United States

International Educational Data Mining Society, United States

The Society of Data Miners: The professional body for data analytics, data science and data mining, United States

Related Big Data Conferences of Complexity in data structure and algorithm:

O’Reilly technology conference — Strata Data Conference 26-28 Mar 2019 San Francisco, California, United States; European Conference on Information Retrieval 14-18 Apr 2019 Cologne, Germany; SIAM International Conference on Data Mining 02-04 May 2019 Calgary, Alberta, United States; International Conference on Management of Data 30 Jun 2019 - 05 Jul 2019 Amsterdam, Netherlands;

Track 4-: Big Data Applications

Tremendous data is an extensive term for data sets so significant or complex that customary data planning applications are deficient. Employments of gigantic data consolidate Big Data Analytics in Enterprises, Big Data Trends in Retail and Travel Industry, Current and future circumstance of Big Data Market, Financial parts of Big Data Industry, Big data in clinical and social protection, Big data in Regulated Industries, Big data in Biomedicine, Multimedia and Personal Data Mining

Related Societies:

National Centre for Data Mining, Chicago

Web Analytics Association, Florida

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

Related Big Data Conferences of Big Data Applications:

International Conference on Management of Data 30 Jun 2019 - 05 Jul 2019 Amsterdam, Netherlands; 42nd International ACM SIGIR conference on research and development in Information Retrieval 21-25 Jul 2019 Paris, France; ACM SIGKDD International Conference on Knowledge discovery and data mining 03-07 Aug 2019 Anchorage, Alaska, United States; European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany;

Track 5-: Internet of things

The Internet of things (IOT) is the network of physical devices, vehicles, home appliances, and other items embedded with electronics, software, sensors, actuators, and network connectivity which enable these objects to connect and exchange data. Each thing is uniquely identifiable through its embedded computing system but is able to inter-operate within the existing Internet infrastructure. "Things", in the IoT sense, can refer to a wide variety of devices such as heart monitoring implants, biochip transponders on farm animals, cameras streaming live feeds of wild animals in coastal waters, automobiles with built-in sensors, DNA analysis devices for environmental/food/pathogen monitoring or field operation devices that assist fire fighters in search and rescue operations

Related Societies:

Big Data Europe Empowering Communities with Data Technologies, Europe

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

American Statistical Association, United States

Related Big Data Conferences of Internet of things:

European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague, Czech Republic;, The ACM India Joint Int. Conf. on Data Science & Management of Data, CoDS-COMAD 2019 3-5 Jan 2019, Kolkata, India; Marketing Analytics & Data Science. Apr 8-10, 2019 San Francisco, CA, USA;

Track 6-: Optimization and Big Data

The period of Big Data is here: information of immense sizes is getting to be universal. With this comes the need to take care of advancement issues of exceptional sizes. Machine learning, compacted detecting; informal organization science and computational science are some of a few noticeable application areas where it is anything but difficult to plan improvement issues with millions or billions of variables. Traditional improvement calculations are not intended to scale to occasions of this size; new methodologies are required. This workshop expects to unite analysts chipping away at unique streamlining calculations and codes fit for working in the Big Data setting.

Related Societies:

The International Machine Learning Society, Germany

International Institute for Business Analysis, Ontario

European Knowledge Discovery Network of Excellence, Germany

National Centre for Data Mining, Chicago

Related Big Data Conferences of Optimization and Big Data:

The ACM India Joint Int. Conf. on Data Science & Management of Data, Cods-COMAD 2019 3-5 Jan 2019, Kolkata, India; Marketing Analytics & Data Science. Apr 8-10, 2019 San Francisco, CA, USA; AI & Big Data Expo Global 25-26 Apr, 2018 London, UK; CDM 2019: 20th Industrial Conference on Data Mining July 10-14, 2019, New York, NY, USA; MLDM 2019:

Track 7-: Data Mining Applications in Science, Engineering, Healthcare and Medicine

Information Mining Applications in Engineering and Medicine attentions to offer data excavators who wish to apply stand-out data some help with mining environments. These applications relate Data mining structures in genuine cash related business territory examination, Application of data mining in positioning, Data mining and Web Application, Medical Data Mining, Data Mining in Healthcare, Engineering data mining, Data Mining in security, Social Data Mining, Neural Networks and Data Mining, these are a portion of the jobs of data Mining.

Related Societies:

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

The International Machine Learning Society, Germany

International Institute for Business Analysis, Ontario

Related Big Data Conferences of Data Mining Applications in Science, Engineering, Healthcare and Medicine:

AI & Big Data Expo Global 25-26 Apr, 2018 London, UK; CDM 2019: 20th Industrial Conference on Data Mining July 10-14, 2019, New York, NY, USA; MLDM 2019: 15th International Conference on Machine Learning and Data Mining July 13-18, 2018 New York, NY, USA; IEEE BIGDATASERVICE 2019 April 4 - 9, 2019 San Francisco East Bay, California, USA;

Track 8-: Big Data in Nursing Research

With advances in technologies, nurse scientists are increasingly generating and using large and complex datasets, sometimes called “Big Data,” to promote and improve the health of individuals, families, and communities. In recent years, the National Institutes of Health have placed a great emphasis on enhancing and integrating the data sciences into the health research enterprise.  New strategies for collecting and analyzing large data sets will allow us to better understand the biological, genetic, and behavioral underpinnings of health, and to improve the way we prevent and manage illness.

Related Societies:

Big Data Europe Empowering Communities with Data Technologies, Europe

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

Related Big Data Conferences of Big Data in Nursing Research:

The 6th IEEE International Conference on Big Data and Smart Computing February 27th - March 2nd, 2019 Kyoto, JAPAN; ANALYTICS AND DATA SUMMIT 2019 March 12-14, 2019 Redwood Shores, CA, USA; 6th International Conference on Big Data Analysis and Data Mining; 25-26 July 2019 London, United Kingdom;

Track 9-: Cloud computing & E-commerce

Distributed computing is a sort of Internet-based imagining that gives shared handling resources and information to PCs and unlike devices on concentration. It is a typical for authorizing pervasive, on-interest access to a common pool of configurable registering assets which can be quickly provisioned and discharged with insignificant administration exertion. Distributed calculating and volume preparations supply clients and ventures with different abilities to store and procedure their info in outsider info trots. It depends on sharing of assets to accomplish rationality and economy of scale, like a utility over a system.

Related Societies:

American Statistical Association, United States

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

Related Big Data Conferences of Cloud computing & E-commerce:

SIAM International Conference on Data Mining (SDM19) SIAM International Conference on Data Mining (SDM19) May 2-4, 2019 Calgary, Alberta, Canada; The Twelfth ACM International Conference on Web Search and Data Mining11-15 Feb 2019 Melbourne, VIC, Australia; O’Reilly technology conference — Strata Data Conference 26-28 Mar 2019 San Francisco, California, United States; European Conference on Information Retrieval 14-18 Apr 2019 Cologne, Germany; SIAM International Conference on Data Mining 02-04 May 2019 Calgary, Alberta, United States;

Track 10-: Data privacy and ethics
In our e-world, information protection and cyber security have gotten to be typical terms. In our business, we have a commitment to secure our customers' information, which has been acquired per their express consent exclusively for their utilization. That is an imperative point if not promptly obvious. There's been a ton of speak of late about Google's new protection approaches, and the discourse rapidly spreads to other Internet beasts like Facebook and how they likewise handle and treat our own data.

Related Societies:

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

The International Machine Learning Society, Germany

Related Big Data Conferences of Data privacy and ethics:

ACM SIGKDD International Conference on Knowledge discovery and data mining 03-07 Aug 2019 Anchorage, Alaska, United States; European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague, Czech Republic; The ACM India Joint Int. Conf. on Data Science & Management of Data, CoDS-COMAD 2019 3-5 Jan 2019, Kolkata, India; Marketing Analytics & Data Science. Apr 8-10, 2019 San Francisco, CA, USA

Track 11-: OLAP technologies:-

OLAP is an acronym for Online Analytical Processing.OLAP performs multidimensional analysis of business data and provides the capability for complex calculations, trend analysis, and sophisticated data modeling.

Related Societies:

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

The International Machine Learning Society, Germany

International Institute for Business Analysis, Ontario

Related Big Data Conferences of Business Analytics:

AI & Big Data Expo Global 25-26 Apr, 2018 London, UK; CDM 2019: 20th Industrial Conference on Data Mining July 10-14, 2019, New York, NY, USA; MLDM 2019: 15th International Conference on Machine Learning and Data Mining July 13-18, 2018 New York, NY, USA; IEEE BIGDATASERVICE 2019 April 4 - 9, 2019 San Francisco East Bay, California, USA;

Track 12-:ETL (Extract, Transform and Load)

ETL is short for extract, transform, and load, three database functions that are combined into one tool to pull data out of one database and place it into another database. Extract is the process of reading data from a database. ... Transformation occurs by using rules or lookup tables or by combining the data with other data.

Related Societies:

Big Data Europe Empowering Communities with Data Technologies, Europe

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

Related Big Data Conferences of Big Data in Nursing Research:

The 6th IEEE International Conference on Big Data and Smart Computing February 27th - March 2nd, 2019 Kyoto, JAPAN; ANALYTICS AND DATA SUMMIT 2019 March 12-14, 2019 Redwood Shores, CA, USA; 6th International Conference on Big Data Analysis and Data Mining; 25-26 July 2019 London, United Kingdom;

Track 13-: New visualization techniques

For traditional business intelligence, data visualization is very helpful: instead of looking through a report with hundreds of lines, a business user can just glance at a graph. For big data, visualization is not just a convenient feature, rather it’s a must. Otherwise, how can a user grasp the data that is big and ever increasing by definition? Our visualization team shares an overview of big data visualization techniques, which can be both specific and non-specific. Let’s take a closer look at them.

Related Societies:

Big Data Europe Empowering Communities with Data Technologies, Europe

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

American Statistical Association, United States

Related Big Data Conferences of Internet of things:

European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague,Czech Republic;, The ACM India Joint Int. Conf. on Data Science & Management of Data, CoDS-COMAD 2019 3-5 Jan 2019, Kolkata, India; Marketing Analytics & Data Science. Apr 8-10, 2019 San Francisco, CA, USA;

 Track  14-:Big Data algorithm:-

Here's a quick course description: "Big data is data so large that it does not fit in the main memory of a single machine, and the need to process big data by efficient algorithms arises in Internet search, network traffic monitoring, machine learning, scientific computing, signal processing, and several other areas.

Related Societies:

IEEE Computer Society, United States

International Educational Data Mining Society, United States

The Society of Data Miners: The professional body for data analytics, data science and data mining, United States

Related Big Data Conferences of Complexity in data structure and algorithm:

Related Big Data Conferences of Business Analytics:

15th International Conference on Machine Learning and Data Mining July 13-18, 2018 New York, NY, USA; IEEE BIGDATASERVICE 2019 April 4 - 9, 2019 San Francisco East Bay, California, USA; The 6th IEEE International Conference on Big Data and Smart Computing February 27th - March 2nd, 2019 Kyoto, JAPAN; ANALYTICS AND DATA SUMMIT 2019 March 12-14, 2019 Redwood Shores, CA, USA; 6th International Conference on Big Data Analysis and Data Mining; 25-26 July 2019 London, United Kingdom;

Track 15-: Business Analytics

Business Analytics is the investigation of information through factual and operations examination, the arrangement of prescient models, utilization of enhancement procedures and the correspondence of these outcomes to clients, business accomplices and associate administrators. It is the convergence of business and information science.

Related Societies:

Big Data Europe Empowering Communities with Data Technologies, Europe

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

Related Big Data Conferences of Business Analytics:

15th International Conference on Machine Learning and Data Mining July 13-18, 2018 New York, NY, USA; IEEE BIGDATASERVICE 2019 April 4 - 9, 2019 San Francisco East Bay, California, USA; The 6th IEEE International Conference on Big Data and Smart Computing February 27th - March 2nd, 2019 Kyoto, JAPAN; ANALYTICS AND DATA SUMMIT 2019 March 12-14, 2019 Redwood Shores, CA, USA; 6th International Conference on Big Data Analysis and Data Mining; 25-26 July 2019 London, United Kingdom;

Market Analysis

Market Analysis

Interactive Data Corporation says that worldwide incomes for big data and business analytics will raise from $130.1 billion in 2016 to more than $203 billion in 2020, at a compound annual growth rate (CAGR) of 11.7%. In addition to being the production with the major investment in big data and business analytics results (nearly $17 billion in 2016), banking will see the fastest spending growth.

By the end of 2017, revenue growths from information-based products will double the rest of the product/service portfolio for one third of Fortune 500 companies, says IDC. Raw data and various value-added content will be bought and sold either via marketplaces or in bilateral transactions and enterprises will begin to develop methods for valuing their data (see Chief Data Officer below). “Data monetization” will become a major source of revenues, as the world will create 180 zettabytes of data (or 180 trillion gigabytes) in 2025, up from less than 10 zettabytes in 2015, according to IDC.

The global big data market size was valued at USD 25.67 billion in 2015 and is expected to witness a significant growth over the forecast period. The elevating number of virtual online offices coupled with increasing popularity of social media producing enormous amount of data is a major factor driving growth.

The largest big data segment is currently professional services, which represents around two fifths of the total market and generates around 10 billion U.S. dollars annually. Some analysts suggest this may not last, however, with service revenues giving way to big data software revenues over the coming decade. Across all segments, IBM is the current market leader, with revenues of about 1.5 billion U.S. dollars from big data. Hewlett Packard Enterprise and SAP round out the top three, with big data revenues for each company reaching close to a billion U.S. dollars.