Big Data Analytics
Big Data Analytics refers to the process of examining, processing, and analyzing large volumes of data, often referred to as
Big data is characterized by its volume, velocity, variety, and complexity, and it typically exceeds the capacity of traditional data processing systems.
Big Data Analytics involves the use of advanced technologies and methodologies to extract valuable insights, patterns, and knowledge from massive datasets.
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Level & Duration
Level
Certificate
Duration
1 Year
Key Characteristics
Volume
Refers to the sheer size of the data generated, collected, and processed. Big data often involves datasets that are terabytes, petabytes, or even exabytes in size.
Velocity
Describes the speed at which data is generated, collected, and processed. With the advent of real-time data sources, the velocity of data has become crucial for timely analysis.
Variety
Represents the diversity of data types and formats. Big data includes structured data (e.g., databases), semi-structured data (e.g., XML, JSON), and unstructured data (e.g., text, images, videos).
Complexity
Relates to the complexity of data that may come from various sources, including social media, sensors, logs, and more. Analyzing such diverse and complex data requires sophisticated techniques.
Veracity
Refers to the quality and reliability of the data. Big data sources may contain inaccuracies, inconsistencies, or errors, posing challenges for analysis.
Components
Data Collection
Involves gathering data from various sources, including sensors, social media, transactional systems, and more.
Data Storage
Big data is often stored in distributed and scalable storage systems, such as Hadoop Distributed File System (HDFS), NoSQL databases, and cloud-based storage solutions.
Data Processing
Utilizes distributed computing frameworks like Apache Hadoop and Apache Spark to process large volumes of data in parallel across multiple nodes.
Data Analysis
Involves applying various analytical techniques and algorithms to extract meaningful insights, trends, and patterns from the data. This includes statistical analysis, machine learning, and predictive modeling.
Data Visualization
Presents the analyzed data in a visual format through charts, graphs, dashboards, and other visualization tools. Visualization aids in understanding complex patterns and trends.
Machine Learning and Predictive Analytics
Incorporates machine learning algorithms to make predictions, classifications, and recommendations based on historical and real-time data.
Text and Sentiment Analysis
Analyzes unstructured text data, such as social media comments or customer reviews, to understand sentiment, opinions, and patterns.
Real-time Analytics
Data Security and Privacy
Ensures that data is stored and processed securely, complying with privacy regulations and protecting sensitive information.
Applications
Business Intelligence
Helps organizations gain insights into market trends, customer behavior, and competitive landscapes.
Healthcare Analytics
Enables analysis of large healthcare datasets to improve patient care, treatment outcomes, and optimize hospital operations.
Financial Analytics
Supports risk management, fraud detection, and investment strategies in the financial sector.
Supply Chain Optimization
Analyzes supply chain data to enhance efficiency, reduce costs, and improve logistics.
Smart Cities
Utilizes data from various sources to enhance urban planning, traffic management, and public services.
Predictive Maintenance
Predicts equipment failures and optimizes maintenance schedules by analyzing data from sensors and machinery.
Big Data Analytics is a critical component in today's data-driven world, offering organizations the potential to gain valuable insights, improve decision-making, and drive innovation. It requires a combination of technology, data management, and analytical expertise to harness the full potential of big data.
Placements
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DBS Global University’s practical projects and faculty guidance helped me build real-world skills and confidence. This preparation enabled me to step into Prism Johnson ready to contribute effectively.
At DBS Global University, engaging in practical projects and hands-on learning enhanced my skills and confidence, equipping me to step into my role at Phronesis Partners with clear direction and focus.
Through DBS Global University’s hands-on projects and skill-focused sessions, I gained practical experience and strengthened my confidence. These opportunities equipped me to make meaningful contributions at Digital Marveled Private Limited.
DGU helped me grow into someone who can take on challenges with confidence and clarity. My placement at Extramarks Education feels like the right step toward building a meaningful career.
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