Data Analytics & Data Mining 2018
EuroSciCon extends its welcome to International conference on Data Analytics and Data Mining 2018 during October 01-02, 2018 with a theme “Data Analytics and Data Mining – The Next Generation of Future Innovations". EuroSciCon organizes Global Events with Conferences, Symposiums, and Workshops on Medical, Pharma, Engineering, Science, Technology, and Business.
Scope and Importance :
Data Analytics and Data Mining 2018 conference aims to deliver the advancements of data, its management and also education in relation to data science & data analysis. There is a huge scope for expansion in data analytics in coming years. This field of data analytics is still in the early, growing stags and will ultimately find its applications in many new domains apart from the area of business where it is currently booming. IoT, Healthcare, HR, Education, Governance, Agriculture are some of the relatively untouched areas for analytics till now and the ones where you will see more proliferation in the coming years.
Who can Attend?
Data Analytics and Data Mining 2018 conference bring together individuals who are Data Analysts, Data Engineers, Data Scientists, Data Architects, Business Analysts, Big Data Professionals, online visitors ranging from Researchers, Academicians and Business professionals, who are working in this field. This conference provides an opportunity to meet Experts, professionals, academicians, and researchers from all over the world. Execute new methods or revise existing methods based on best-presented facts. The attendees can find- Exclusive Sessions and Panel discussions on latest innovations in Data Analytics. It is a forum to explore issues of mutual concern as well as exchange knowledge, share evidence, ideas, and generate solutions.
Why to Attend???
Data Analytics and Data Mining 2018 conference will provide a global platform for exchanging ideas and keeps us updated about the latest innovations in data science and their implementations. Even it broadens our knowledge regarding data science and shows the scope of it in the nearer future. It will also provide an opportunity to attend the presentations delivered by Eminent Scientists from around the globe.
This conference gives an emphasis on data-based application, educational innovation, practical implementation, and peer to peer networking and collaboration. The goal of the conference is to provide a transformative professional development experience through. By participating in the conference, attendees will be able to study the advances in the Data Analytics research. A Unique Opportunity for Advertisers and Sponsors at this International event.
- Data Analytics - The Future of Everything
- Big Data & Data Analytics
- Visual Analytics
- Business Analytics
- Pharmacy Analytics
- Internet of Things (IOT)
- Smart Buildings
- Climate Informatics
- Cloud Computing
- Artificial Intelligence
- Social Media Analytics
- Preventing Fraud
- Road Safety & Analysis
- Data Analytics Tools
- Future of Data Analytics
- Data Warehousing
- Open Data
- Frequent Pattern Mining
Data Analytics, also known as data analysis or analysis of information, is a technique of analyzing, cleaning, remodeling, and modeling information with the aim of coming across useful data, suggesting conclusions, and assisting selection-making. Data Analytics has multiple aspects and procedures, encompassing various strategies under a variety of names, in distinctive business, science, and social technology domains.
Data Mining is a specific data evaluation technique that specializes in modeling and understanding discovery for predictive rather than only descriptive functions. Data Integration is a precursor to data evaluation, and information evaluation is closely related to data visualization and information dissemination. The term data analysis is every so often used as a synonym for information modeling.
Amsterdam is the capital and the most popular town in the Kingdom of the Netherlands. Its status as the capital is mandated by the Constitution of the Netherlands although it is not the seat of the government and it is legacies of city’s 17th-century. Amsterdam has a population of 841,186 within the city proper, 1,337,743 in the urban area and 2,431,000 in the Amsterdam metropolitan area. The city is located in the province of North Holland in the west of the country.
The etropolitan area comprises much of the northern part of the Randstad, one of the larger conurbations in Europe, with a population of approximately 7 million. Amsterdam’s the name derives from Amstelredamme the city’s origin as a dam of the river Amstel. Originating as a small fishing village in the late 12th century, Amsterdam became one of the most important ports in the world during the Dutch Golden Age a result of its innovative developments in trade. During that time, the city was the leading center for finance and diamonds and in the 19th and 20th centuries the city expanded, and many new neighborhoods and suburbs were planned and built.
The 17th-century canals of Amsterdam and the 19th–20th century Defence Line of Amsterdam are on the UNESCO World Heritage List. As the commercial capital of the Netherlands and one of the top financial centers in Europe, The city is also the cultural capital of the Netherlands. Amsterdam was ranked the second best city in which to live by the Economist Intelligence Unit and 12th globally on quality of living for environment and infrastructure by Mercer. Amsterdam’s main attractions, including its historic canals, the Rijksmuseum, the Van Gogh Museum, Stedelijk Museum, Hermitage Amsterdam, Anne Frank House, Amsterdam Museum, its red-light district, and its many cannabis coffee shops draw more than 5 million international visitors annually.
Technology is evolving & changing genuinely fast. But what's vital to notice that information science is what maximum of the generation is revolving around. Big data was once “the subsequent massive aspect of the future” like some years back. We’re already dwelling the future & big data is everywhere. There might be some industries which are still not in the awe of the capacity of data science & how it is able to help them however maximum other are creating a great use of this technology. With the sector increasingly tuning right into a “virtual workspace”, data science is clearly the future of everything.
- Data Analytics in education
- Data Analytics in healthcare & pharmacy
- Data Analytics in data management
- Data Analytics in social media
- Data Mining & Big Data
Data analytics makes use of the data mining approach. The simple calculations in data mining & research form the basis for the developing area of data technology, which includes robotized strategies to look at examples & models for an extensive variety of information, with applications extending from logical revelation to business perception & examination.
- Neural Networks
- Cluster Analysis, Genetic Algorithms
- Decision Trees & Recession rules
- Data understanding & Data preparation
- Modelling & Evaluation
It targets to deliver the education zone, which yields the biggest volumes of records each day, within the data mining region so that this large quantity of data can be pre-processed to retrieve genuine, beneficial & actionable data. While a whole lot of people make contributions to educational content, their authenticity is at stake. This content can be labeled as data & not actual information. So that in order to retrieve data, an expert has to parse through all information, using his very own set of abilities, after which its personal authenticity is confirmed. Data mining strategies can explore data; however, they continually need the professional recommendation to make very last decisions, particularly when the line between data & information is the blur.
- Analysis & visualization of data
- Student modeling
- Developing concept maps
- Constructing courseware
- Distillation of data for human judgment
Big data is something that may be used to examine insights which could result in better choice & strategic enterprise actions. Data analytics includes automating insights into certain datasets in addition to supposes the use of queries & data aggregation tactics. Big data is a theoretical concept for outlining issues that rise up to a large size of data in which conventional data managing tools aren't capable enough. While data Analytics is a bunch of tools & strategies to carry out an evaluation of data (big & small). So, if one has a big data trouble, then data analytics is there to clear up those issues.
- Big Data Characteristics
- Data Stream Algorithms
- Technology & Tools in Open Science
- Big Data Analytics & machine learning
It is the science of analytical reasoning supported through interactive visual interfaces. Over the past many years, a massive quantity of automated data evaluation techniques had been evolved. However, the complex nature of many issues makes it crucial to encompass human intelligence at an early level within the data analysis system. Visual Analytic techniques permit decision makers to combine their human flexibility, imagination, & background understanding with the tremendous storage & processing capacities of these day's computer systems to gain a perception of complicated issues. Using superior visual interfaces, people may immediately interact with the data analysis competencies of nowadays computer, letting them make well-knowledgeable decisions in complex situations.
- Software Visualization
- Computational Visualistics
- Visual analytics tools
- Visual analytics in SAS
We are in a world of more data, & even the most complicated ones, data & big data is changing the way real estate professionals, buyers, sellers & even banks, think about transactions involving property. This info-graphics covers the impact of big data analytics in the real estate industry. The advantages moreover like better & accurate prognosis, business lucidity, identifying prior unknown potential, faster & more comprehensive analyses, faster reactions by management, improved customer service, etc. Data Analytics has helped to change both commercial & residential real estate industry.
- Understanding Viral Content Marketing
- The Carbon Budget
- The key elements
- Technical illustration
- Maestro concept
Business Analytics pertains to the exploration of historic data from many source structures through statistical analysis, quantitative evaluation, data mining, predictive modeling & specific technology & strategies to discover developments & recognize the information that could power business exchange & assist sustained successful business practices.
- Business intelligence
- Business Analytics & Research (BA&R)
- Emerging phenomena
- Technology drives & business analytics
- Capitalizing on a growing marketing opportunity
In today’s world, analytics are crucial to controlling claims charges. And with the pharmacy prices accounting for this massive part of the one's expenses, rising’s prescription monitoring technologies carry a key element to the value-saving equation. Healthcare presents one of the maximum complex types of data of any industry because of its privacy rules & federal/state policies. Yet with the rapid increase of enabling technology gear shooting healthcare records, the volume of available information is increasing. Now businesses are looking to make sense of all of this information & the way best to use it to their enterprise & medical care.
- Big data in nursing inquiry
- Methods, tools & processes used with data analytics with relevance to nursing
- Data Analytics & Nursing Practice
- Data Mining in Healthcare data
- Medical Data Mining
- Eagle Eye –Cloud-based digital pharmacy
The primary purpose of AI is to infuse intelligence to machines. This consists of computer vision (to assist dealers to view the world around it), Language Processing (Speech & textual content processing) to assist the agent to recognize human text & speech & additionally to respond to them more clearly. Machine mastering facilitates the marketers to learn & enhance their performance much like how human beings do. Data Mining, Data Analytics, all makes use of statistical learning algorithms (machine learning) to extract intelligence from the information. This intelligence might also assist in improving its overall performance.
- Scientific computing
- Computer graphics
- Algorithmic Trading
- Artificial Neural Networks
The bottom-line of data analytics in cloud computing is cloud computing itself. Cloud computing is built around a sequence of hardware & software that may be remotely accessed through any net browser. Typically documents & software is shared & worked on via a couple of customers & all records are remotely centralized in place of being saved on customers’ hard drives. Analytics in cloud computing, including tracking social media engagement & records, is clearly making use of the concepts of analytics to information housed on cloud drives instead of on individual servers or drives.
- Core Cloud Services
- Cloud Technologies
- Computing Models
- Client-Cloud Computing Challenges
- High-Performance Computing Systems for Medical Applications
Climate informatics can be defined as information-managed analysis, & therefore gives a compliment to present techniques to climate science. Weather datasets mix up strategies from machine learning & data Mining with the greater conventional statistical strategies used by field researchers, & the physics-based simulations utilized in weather modeling. The aim of climate informatics is to inspire collaboration between weather scientists & data scientists, with a view to developing tools to examine complicated & ever-developing quantities of observed & simulated weather records, & thereby bridge the space between data & expertise. Here, latest weather informatics work is presented, together with information on a number of the remaining demanding situations.
- Climate Science
- Future Weather Predictions & Analysis
- Climate Modelling
- Statistical Techniques & Climate Datasets
- The Fourth Paradigm
A data analytics method may be used with a purpose to predict energy intake in homes. The different steps of the data evaluation method are performed which will comprehend smart buildings, in which the building control & manage operations along with heating, ventilation, Air conditioners, lights, & safety are realized robotically by way of miming the needs of the building customers & optimizing sources like electricity & time.
- House Automation System
- Energy Efficiency & Smart Building Models
- Smart Building Design & Implementation Principles
- Challenges Regarding Smart Buildings
- Smart Operations & Optimizing Sources
IOT is about gadgets, information & connectivity. The actual value of net of factors is about growing smarter merchandise, turning in sensible insights & supplying new business results. As hundreds of thousands of gadgets get linked, internet of things will trigger a big influx of huge data. The key mission is visualizing & uncovering insights from numerous varieties of data (established, unstructured, pictures, contextual, dark data, real-time) & in context of your programs.
- Medical & Healthcare
- Environmental Monitoring
- Infrastructure Management
- Consumer Application
Data Analytics in Bioinformatics merges the fields of biology, technology, & medicine so that you can present a complete take a look at the emerging information processing programs vital within the field of digital clinical record management. Whole with interdisciplinary research sources, this is an important reference source for researchers, practitioners, & college students inquisitive about the fields of biological computation, database control, & health statistics generation, with a unique focus on the methodologies & equipment to control huge & complicated digital information.
- Systems for Brain - Machine Interface
- Data mining & processing in bioinformatics, genomics & biometrics
- Electronic Health Records
- Predictive Analytics
- Real-time Alerting
A social networking internet site collects data associated with user choices, community pursuits & phase consistent with unique standards along with demographics, age or gender. Right analysis exhibits key consumer & customer developments & allows the social community's alignment of content, format & overall strategy.
- Google Analytics
- Networks & Relations
- Development of Social Network Analysis
- Analysing Relational Data
- Dimensions & Displays
- Positions, Sets & Clusters
The primary purpose to apply data analytics to tackle fraud is due to the fact a number of internal control systems have extreme control weaknesses. in an effort to efficaciously test & monitor inner controls, companies want to examine each transaction that takes place & check them in opposition to installing parameters, throughout programs, across systems, from dissimilar programs & data assets. Most internal control systems really cannot handle this. On the top of that, as we enforce internal systems, some controls are even never turned on. The use of data analytics, one can discover root troubles, discover traits, & offer particular results. With the number of transactions flowing through corporations nowadays, the speed of business has increased particularly because scrutiny of individual transactions is quite tough to offer. This lack of scrutiny over individual transactions opens up the gate for people to abuse systems, perpetrate fraud, & materially affect monetary outcomes.
- Counter Measures to Combat Cyber Terrorism
- Cyber Security for Critical Infrastructures & High-Performance Computing
- Security/Privacy Technologies
- Personal Identity Verification
- Human Activity Recognition
Road & traffic accidents are unsure & unpredictable incidents & their analysis calls for the understanding of the elements affecting them. One of the key targets in accident data evaluation to discover the primary elements related to a road & traffic accident. But, miscellaneous nature of road accidents records makes the analysis task tough. Data segmentation has been used extensively to conquer this heterogeneity of the accident information. The outcomes display that the aggregate of k mode clustering & association rule mining may be very inspiring as it produces crucial information that might stay hidden if no segmentation has been done prior to generating association regulations. In addition, a trend analysis has also been executed for every clusters & EDS accidents which reveals distinctive trends in the different cluster while a positive trend is shown by means of EDS. Trend analysis additionally suggests that previous segmentation of accident records may be essential earlier than analysis.
- K-Mode Clustering & Data Mining
- Data Segmentation
- Road Crash Data
- Road Accident Analysis & Data Mining
- Factor Identification & Predictions
Gathering, storing, merging & sorting huge amounts of data had been the main challenge for software & hardware centers. Growing variety of businesses & establishments has solved & evolved tools for saving & storing tables, documents or multimedia information. Database systems are a chief tool in triumphing applications. Those systems have regular hundreds or hundreds of thousands of entries. The goals of analytical equipment are obtaining necessary & beneficial information from gathered records & therefore using them for active control & selection making. The main purpose of this contribution is to offer a few possibilities & tools of data analysis as regards to availability of very last users.
- Big Data Security & Privacy
- E-Commerce & Web Services
- Medical Informatics
- Visualization Analytics for Big Data
- Predictive Analytics In Machine Learning & Data Mining
- Interface to Database Systems & Software System
The technology of data analytics attains a huge boon to both people & companies bringing personalized service, detection of fraud & abuse, efficient use of sources & prevention of failure or accident. Current improvements in analytics & big data era have widened the space between what's viable & what's legally allowed, converting the stability of power among individuals & the data collectors. Inside this gap are new possibilities along the dangers of public relations failures & accidental results. & its miles inside this gap where the ethical questions around what is appropriate are raised.
- Data Encryption
- Data Hiding
- Public Key Cryptography
- Quantum Cryptography
Some of the predictions that emerge as we see the present scenario of big data & data analytics can likely be that, Data volumes will continue to grow, Ways to analyse data will improve, More tools for analysis (without the analyst) will emerge, Prescriptive analytics will be built in to business analytics software, Autonomous agents & things will continue to be a huge trend, & some more additional changes would be noticed in further future.
- Business Analytics
- Optimal Data-Dependent Computation
- Delegating Computations
- Convergence of Fast Computations
- Optimal Error Rates
- Approximation & Optimization Schemes
- Randomized Compositions
In figures, a facts movement concentrate, by and big, known as an enterprise data stockroom (EDW), is a structure developed for reporting and facts inspection. Statistics Warehousing is focal narratives of encouraging information from at least one awesome resource. This statistics warehousing merges statistics Warehouse Architectures, Case examines: statistics Warehousing structures, information warehousing in enterprise Intelligence, the position of Hadoop in business Intelligence and facts Warehousing, the business makes use of data Warehousing, Computational EDA (Exploratory statistics evaluation) strategies, system studying and facts Mining.
- Data Warehouse Architectures
- Case studies: Data Warehousing Systems
- Data warehousing in Business Intelligence
- Role of Hadoop in Business Intelligence and Data Warehousing
- Commercial applications of Data Warehousing
- Computational EDA (Exploratory Data Analysis) Techniques
Open data is the feeling that some data need to be unreservedly available to all of us to make use of and republish as they wish, without confinements from proper, licenses or different systems of control. The targets of the open data improvement are like the ones of different "open" traits, as an example, open premise, open device, open fulfilled, and open access.
- Open Data, Government, and Governance
- Open Development and Sustainability
- Open Science and Research
- Technology, Tools, and Business
A frequent pattern mining is an example that occurs as often as viable in a data set. Initially proposed by [AIS93] on the subject of regular issue units and affiliation guideline digging for commercial enterprise sector crate research. Stretched out to a huge variety of issues like chart mining, consecutive instance mining, instances association design mining, content material mining.
- Frequent itemsets and association
- Item Set Mining Algorithms
- Graph Pattern Mining
- Pattern and Role Assessment
Recommended EuroSciCon Conferences:
Dental & Dental Hygiene, March 26-27, 2018 Scotland | Advance Nursing Practice, June 21-11, 2018 France | Naturopathy & Acupuncture, July 30-31, 2018 Netherlands | Traditional & Alternative Medicine, July 30-August 01, 2018 Netherlands | Lasers, Optics & Photonics, July 16-17, 2018 Czech Republic | Psychiatry, Psychology & Mental Health, August 06-07, 2018 Czech Republic | Sustainable & Renewable Energy Research, August 13-14, 2018 France | Atomic & Plasma Science, July 16-17, 2018 Czech Republic | Gastroenterology, June 19-20, 2018 France | Materials Science & Engineering, August 23-25, 2018 Netherlands | Microbiology & Virology, June 21-22, 2018 France | Dentistry & Oral Hygiene, March 26-27, 2018 Scotland | Infectious Diseases & STD-AIDS, April 26-27, 2018 Italy | Hepatology & Hepatitis, August 9-10, 2018 Czech Republic | Nursing & Nursing Diagnosis, September 10-11, 2018, Czech Republic | Nuclear Medicine & Radiation Therapy, October 01-02, 2018 Sweden | Clinical Pathology, October 08-10, 2018 Netherlands | Nursing & Midwifery, September 10-11, 2018 France | Oncology & Oncologists, September 24-25 , 2018 Portugal | Orthopedics, September 20-21 , 2018 Portugal | Nursing & Healthcare, July 23-24, 2018 Netherlands
The Georgia Institute of Technology | George Mason University | University of Maryland University College | University System of Maryland | University of California, San Diego - UC San Diego X. | University of Illinois Springfield | Lewis University | University of Michigan–Dearborn | The City University of New York | Johnson & Wales University | University of Wisconsin Madison | University of Chicago | St. John's University | Illinois Institute of Technology | Rowan University | University of New Haven | Clarkson University | Pratt Institute | Utica College | Villanova University
Jacobs University | GISMA Business School | IESEG School of Management Lille – Paris | Marbella International University Centre | ESAIP Graduate School of Engineering | University of Stirling | University of Westminster - Faculty of Science and Technology | University of Tampere | University of Amsterdam | Higher School of Economics | Tilburg University | Glasgow Caledonian University - The School of Engineering and Built Environment | St. John's University | University of Hildesheim| Technical University of Munich | University of Mannheim | RWTH Aachen University | Humboldt University | Technische Universität Berlin | Universität Hamburg
Hult International Business School | Novosibirsk State University | Irkutsk National Research Technical University | Novosibirsk State University | ITMO University, St. Petersburg | Higher School of Economics | Ural Federal University | National Research University - Higher School of Economics (HSE)| Samara National Research University | Novosibirsk State University | Kazan Federal University | Nanyang Technological University | Asia pacific university | National University of Singapore | Novosibirsk state university | Tohoku University
Australian & New Zealand Universities
Western Sydney University | Curtin University - CurtinX. | James Cook University | Deakin University | University of South Australia | Monash University | University of Adelaide | University of Canterbury | The University of Queensland | Auckland University of Technology | Massey University | University of Otago | University of Canterbury | University of Waikato | Victoria University of Wellington | The University of Melbourne | The University of New South Wales | University of Tasmania | Flinders University | Charles Darwin University
Data Analytics Societies
Advanced Analytics Institute | University of Technology, Sydney | National Center for Data Mining (NCDM) at the University of Illinois at Chicago, Germany | American Association of Engineering Societies | American Society for Engineering Education | National Society of Professional Engineers | Institution of Engineers, Bangladesh | Bangladesh Computer Society | Chinese Society for Electrical Engineering | Computer Society of India, Society of EMC Engineers(India) | Japanese Union of Scientists and Engineers | Saudi Council of Engineers | European Federation of National Engineering Associations | Society of Professional Engineers UK, New Zealand Computer Society | Society of Professional Engineers UK Germany | Big Data Europe Empowering Communities with Data Technologies Europe | 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 | IEEE Computer Society United States | Data Mining Section of INFORMS | United States International Institute for Analytics Oregon | The International Machine Learning Society Germany | International Institute for Business Analysis, Ontario | European Knowledge Discovery Network of Excellence Germany
Data Analytics Conferences
5th International Conference on Big Data Analysis and Data Mining 20-21 June 2018 Rome, Italy | 6th International Conference on Big Data, Knowledge Discovery and Data Mining August 06-07, 2018 Abu Dhabi, UAE | Big Data Innovation, Data Mining and Analytics Summit August 20-21, 2018 Holiday Inn Singapore Atrium, Singapore | Computer Science, Machine Learning and Big Data Analytics August 30-31, 2018 Dubai, UAE | International conference on Data Analysis and Cloud Computing September 06-07, 2018 London, United Kingdom | 7th International Conference on Big Data Analytics & Data Mining September 26-27, 2018 Chicago, Illinois, USA | 2nd International Conference on 3D Printing Technology and Innovations March 19-20, 2018 London, UK | International Summit on Conventional and Sustainable Energies March 30-31, 2018 Orlando, Florida, USA | 5thInternational Conference on Automation and Robotics April 16-17, 2018 Las Vegas, Nevada, USA | 4th International Conference and Expo on Automobile Engineering and Design May 11-12 2018, Tokyo, Japan | International Summit and Expo on Optical Fibre Communications May 30-31 2018 Auckland, New Zealand | 9th Euro Biosensors & Bioelectronics Congress September 13-14, 2018 London, UK | 2nd World Congress on Wind & Renewable Energy June 14-15, 2018 London, UK | 4th International Conference and Exhibition on Satellite & Space Missions June 18-20, 2018 Rome, Italy | European Conference on Computer Science & Engineering June 21-22, 2018 Oslo, Norway | Automobile 2018 June 21-22, 2018 Paris, France | International Conference on Civil & Structural Engineering June 21-22, 2018 Paris, France | 6th Global Summit on Artificial Intelligence and Neural Networks October 15-16, 2018 Helsinki, Finland | 5th World Machine Learning and Deep Learning Congress August 30-31, 2018 Dubai, UAE | 4th International Conference and Business Expo on Wireless, Telecommunication & IoT May 28-29, 2018 at Park Inn Hotel, London, UK
Data Analytics Related Journals
Journal of Data Analytics | Big Data Research | Journal of Data Intelligence | Journal of Big Data and Analytics in Healthcare | Data Mining and Knowledge Discovery | Advances in Data Analysis and Classification | Journal of Big Data Analytics | Data Science Journal | Journal of Data Science and Analytics | Journal of Business Intelligence and Data Mining | Machine Learning | Journal of Python for Bioinformatics | Journal of Data Mining in Genomics | Journal of Biometrics & Biostatistics | Journal of Neural Networks and Applications
Data Analytics Job Opportunities
Data Architect | Core java with Big data Resource |Data Developer | Big Data Transformation Developer Jobs |Data Software Engineer Jobs | Data Developer Jobs | Big Data & DWH Engineer Jobs | Data & Analytics Jobs | Data Engineer Jobs| Senior Consultant Data Jobs | Software Developer Intern Data/Machine Learning Jobs | Head of Big Data & Artificial Intelligence Jobs | Data Scientist Jobs | Engineer IoT, Big Data & Data Science SBB Telecom Jobs | MS BI/Big Data Unit Manager Jobs | Senior Data Scientist | Developing Engineer - Big Data and Cloud Services Jobs | BI (Business Intelligence) Developer Jobs | Chief Data Scientist Jobs | Software Engineering Intern Jobs | Senior Data Engineer Jobs
Data Analytics Companies
DataStax | Domo | Fluentd | Flytxt | Greenplum | GridGainSystems | GroundhogTechnologies | Hack/reduce | Hortonworks | HPCCSystems | ImplyCorporation | MapR | MarkLogic | Medio | Medopad | Ninja Metrics | Oracle Cloud Platform | Palantir Technologies | Pentaho | Platfora