Big data analytics is the use of advanced analytic techniques against very large, diverse data sets that include structured, semi-structured, and unstructured data, from different sources, and in different sizes from terabytes to zettabytes.
Understand the Big Data Platform and its Use cases
Provide an overview of Apache Hadoop
Provide HDFS Concepts and Interfacing with HDFS
Unstructured Data
Exposure to Big Data Analytics
Provide hands-on Hadoop Eco System
Essentially, big data allows companies to know their customers in order to improve their marketing strategies and the customer experience
Big data provides crucial insight into your customers, including demographics, geographic location, and how they interact with your company in real time.
Provides cost-effective elasticity for data-centric workloads
Can easily be deployed and leveraged both on-premises and in the cloud
Structured Data
Unstructured Data
Semi-Structured Data.
A Big Data analyst wears multiple hats, frequently switching gears from conducting research to mining data for information to presenting findings.
Collecting, analyzing, visualizing, and communicating this data to help guide these future decisions.
Social media, cloud applications, and machine sensor data
A Data Scientist role is recommended for those who want to create advanced machine learning models and use deep learning techniques to ease human tasks.
Skilled data analysts are some of the most sought-after professionals in the world
Data analytics is the process of extracting meaningful information from data
Data science is a multidisciplinary field that aims to produce broader insights.
Data analysts rely on skills like programming in R or Python, querying databases with SQL, and performing statistical analysis.
The world is packed with information; and most organizations struggle to recognize what information they have, why they need it, how long they need it for, and if it has any value. Furthermore, changes in the law, such as the recent changes in the UAE employment law, often call for tighter controls on contract documentation, and lead to a need for enhanced management of human resource and contract records. In addition, electronic information is under threat from cyber-attack and personal information is at risk of exposure. As such, the development and implementation of a records management program that includes document control methods to identify, secure, and protect critical information, is necessary for every organization.
The world is packed with information; and most organizations struggle to recognize what information they have, why they need it, how long they need it for, and if it has any value. Furthermore, changes in the law, such as the recent changes in the UAE employment law, often call for tighter controls on contract documentation, and lead to a need for enhanced management of human resource and contract records. In addition, electronic information is under threat from cyber-attack and personal information is at risk of exposure. As such, the development and implementation of a records management program that includes document control methods to identify, secure, and protect critical information, is necessary for every organization.
Organizations typically start using electronic document management systems to transform paper-based operations after reaching an internal tipping point in which customer response times become too slow, departments don’t have enough bandwidth to solve recurring process bottlenecks, paper archiving becomes too costly or large-scale regulatory risks are exposed during a data breach or compliance fines.
For organizations that have defined but resource-intensive business processes, EDMS is an ideal fit. Document management helps organizations across industries sidestep this busy work entirely by eliminating manual document maintenance, reclaiming valuable staff time, and boosting the bottom-line.
It is universally recognized that for any company to succeed it must take a proactive approach to risk management. Over the last few years, Companies and several countries legislators have been focusing on Process Safety as a method to reduce the risks posed by hazardous industries. Process Hazard Analysis (PHA) is recognized as being a critical tool in the implementation of a successful risk management system
The level of competition in current business environments requires a focus on practices that assist in the management of personal and workgroup tasks, priorities, and projects. All types of organizations need to find more productive means to offer their products and/or services, so goals are established and tasks assigned to better meet customer and stakeholder needs. A focus on the use of productive practices allows for effective and efficient management of project work, establishing priorities and meeting deadlines, and is an important part of customer service.
Through training as a lead disaster recovery manager, you can gain the knowledge and skills required to assist a company in creating, administering, and executing a disaster recovery plan. You will learn about business continuity management's best practices for disaster recovery processes and ICT disaster recovery services throughout this training course.