Big Data Management and Analytics

Big data analytics is basically the process of obtaining insights that lead to decision making and high performance enabled through the use of various tools like the Hadoop, which basically offers a flexible platform for developing and running various applications. The Big Data Management And Analytics in an organizational context includes elements such as data integration, selection and acquisition of relevant tools and infrastructure. 

Are you what wandering what Big Data Management and Analytics is, what Big data management techniques and whta Erasmus Mundus is all about. You are on the right path, this article will answer most of your questions about it.

Big Data Management And Analytics

Big data management is the organization, administration and governance of large volumes of both structured and unstructured data. 

The goal of big data management is to ensure a high level of data quality and accessibility for business intelligence and big data analytics applications. Corporations, government agencies and other organizations employ big data management strategies to help them contend with fast-growing pools of data, typically involving many terabytes or even petabytes of information saved in a variety of file formats. Effective big data management helps companies locate valuable information in large sets of unstructured data and semi-structured data from a variety of sources, including call detail records, system logs and social media sites.

Most big data environments go beyond relational databases and traditional data warehouse platforms to incorporate technologies that are suited to processing and storing nontransactional forms of data. The increasing focus on collecting and analyzing big data is shaping new platforms that combine the traditional data warehouse with big data systems in a logical data warehousing architecture. As part of the process, the must decide what data must be kept for compliance reasons, what data can be disposed of and what data should be kept and analyzed in order to improve current business processes or provide a business with a competitive advantage. This process requires careful data classification so that ultimately, smaller sets of data can be analyzed quickly and productively. 

Background & Objectives

The First Report of the EU Data Market Study estimates that the number of data users will reach more than 1.3 million in 2020 while the overall data market will likely reach € 111 billion under high growth conditions. The last decade was marked by the digitalisation of virtually all aspects of our daily lives. Today, public and private organisations in all sectors face an avalanche of digital data on a daily basis. While at first glance this appears to be favourable for our knowledge-based society, in many ways it is a burden. Data is neither information nor knowledge. Instead, data is of great value once it has been refined and analysed, in order to address well-formulated questions, concerning problems of interest. It is only then through data-driven innovation that the economic and social benefit can be fully realised.The Erasmus Mundus Joint Master Degree Programme in Big Data Management and Analytics (BDMA) is a unique programme that fully covers all of the data management and analytics aspects of Big Data (BD), built on top of Business Intelligence (BI) foundations, and complemented with horizontal skills. It has been jointly designed and adheres to international studies, being structured to cover all the skills BI and BD specialists require.

what is big data analytics?

Big data analytics is the use of advanced analytic techniques against very large, diverse big data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes.

What is big data exactly? It can be defined as data sets whose size or type is beyond the ability of traditional relational databases to capture, manage and process the data with low latency. Characteristics of big data include high volume, high velocity and high variety. Sources of data are becoming more complex than those for traditional data because they are being driven by artificial intelligence (AI), mobile devices, social media and the Internet of Things (IoT). For example, the different types of data originate from sensors, devices, video/audio, networks, log files, transactional applications, web and social media — much of it generated in real time and at a very large scale.

With big data analytics, you can ultimately fuel better and faster decision-making, modelling and predicting of future outcomes and enhanced business intelligence. As you build your big data solution, consider open source software such as Apache HadoopApache Spark and the entire Hadoop ecosystem as cost-effective, flexible data processing and storage tools designed to handle the volume of data being generated today.

big data management and analytics erasmus

Erasmus Mundus Master in Big Data Management and Analytics (BDMA)

Since its inception 20 years ago, business intelligence (BI) has become a huge industrial area and a significant driver of the economy. It covers many fields of science and technology (data warehousing and mining, content analysis, business process management, etc.) and requires knowledge of information systems, the Web, decision making, software engineering, innovation and entrepreneurship. The Erasmus Mundus master’s degree in Big Data Management and Analytics (BDMA), formerly the master’s degree in Information Technologies for Business Intelligence (IT4BI), coordinated by the Université Libre de Bruxelles (ULB) and with the UPC as a participant, provides students with the comprehensive training required for them to understand, learn and acquire BI skills and develop decision-making strategies for business.

Eligibility Requirements (Criteria)

  • They have been awarded a Bachelor’s degree (i.e., the equivalent of 180 ECTS) with a major in computer science, from an accredited university. The university has to be listed in the World Higher Education Database (WHED) or be included in the following university rankings:
    1. The Times Higher
    2. Academic Ranking of World Universities
    3. QS World University Rankings
  • They must be able to demonstrate proficiency in English by means of an internationally recognised test equivalent to level B2 in the Common European Framework of Reference for Languages (CEFR). The consortium will rely on how certification bodies evaluate their own equivalences against this framework, e.g., Cambridge General English FCE, IELTS (Academic) 5.5, TOEFL (paper based) 570, TOEFL (computer based) 230, TOEFL (internet based) 72, etc.

How to Apply

First StepBefore you start, be sure you have the following documentation (all in English and stamped by some public institution certifying that they correspond to the original counterpart in your local language) at hand. You will have to upload them in PDF format and later submit them by s-mail (i.e., paper mail, postal mail, land mail, …) to the admission contact address by the date specified in the BDMA website if your application is eventually accepted (failing to submit the hard-copies by s-mail on time implies exclusion; check the application manual for further details):

  • Cover letter (stating your interest, your possibilities in the Master, and anything you consider relevant to know for the Selection Committee)
  • Passport
  • Photo (passport size)
  • CV
  • Bachelor certificate (at least 180 ECTS)
  • Official transcripts
  • Proof of English proficiency
  • Proof of contracts

Second Step: To file an application for the EM Master programme:

  1. Register an account
  2. Log in with your username and password
  3. Complete the application forms and upload the necessary attachments (you will be notified by email of the progress of your application)
  4. Make sure that your referees uploaded their recommendation letter before the application deadline
  5. Submit your application (notice that you cannot apply to more than three Erasmus Mundus programmes) before the application deadline
  6. Make sure you’ve received an acknowledgment by email confirming your application

Schorlarship

The Erasmus+ programme provides EU-funded scholarships to students who have been selected by the consortia. Two categories of scholarships are available.

The scholarship for students from Programme Countries comprises:

  • Participation costs: up to 4,500 euros per year
  • Travel costs: 1,000 euros per year
  • Contribution to subsistence costs: 1,000 euros per month for the entire duration of the BDMA programme (24 months maximum).

The scholarship for students from Partner Countries comprises:

  • Participation costs: up to 9,000 euros per year
  • Travel costs: 2.000 or 3,000 euros per year depending on whether the student is resident of a country whose location is, respectively, less than or more than 4.000 km away from Brussels, the coordinating institution of the BDMA programme. The place of residence will be verified on the basis of the provision of documents such as a residence certificate issued in accordance with the candidate’s municipality normal registration rules or a certificate from the candidate’s place of work, study or training issued by the employer or institution in question. Both documents must have been issued within 12 months before the BDMA official deadline for student selection.
  • Installation costs: 1,000 euros.
  • Contribution to subsistence costs: 1,000 euros per month for the entire duration of the BDMA programme (24 months maximum).

The participation costs covering the tuition fees are directly taken by the consortium. The remainder of the scholarship will be allocated to selected students as follows:

  • Two yearly instalments, each one covering half of the travel costs.
  • One installment of 1,000 euros covering the installation costs for students from Partner Countries.
  • 24 monthly instalments of 1,000 euros for the subsistence costs.

The scholarship will be paid by bank transfer.

All scholarship holders will receive an insurance meeting the minimum insurance requirements of the Erasmus+ programme for JMDs.

For tuition fees:

  • Partner Countries students: €9000 / year;
  • Programme Countries students: €4500 / year.

big data management and analytics – university of ottawa

Every day all over the world, large amounts of data are generated by business, scientific and social activities. Data-driven approaches to decision making in areas as diverse as medicine, business, sports, advertising, and entertainment are now essential.

Data Science is the study, application, and development of methods to learn from this data. These are essential to understand, predict, and make improvements in management strategies, products, services, advertising campaigns, public health and safety, and many other areas. These methods combine elements of mathematics, computer science and statistics.

Students in this program will obtain significant “hands-on” experience through various projects and a Data Science Laboratory.

Options with this program

Languages

  • This program is offered in English and in French
    • All compulsory courses are offered in English and in French.
  • French immersion: the French Immersion Stream is available for this program.

Course examples

  • Methods of Machine Learning
  • Data Science Lab

Consult and compare the course list of programs and options.

  • Introduction to Artificial Intelligence
  • Fundamentals of Data Science

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