Big Data Fundamentals

How does Big Data impact Businesses and people?

Big data causes businesses to better serve people and people live a much better life style as a result of its use.

What drives big data?

Competitive advantage

How to make sense of Big Data?

Data science is used to process data to derive insights of value. The process consists of determining the problem, collect data, explore data, analyze data, storytelling, and take action.

Uber case study?

First choice of worldwide, monitors personal data to determine which features are most used, focusing on supply and demand of services which pricing is effected by.

What is Big Data?

Large amounts of data collected passively from digital interactions with great variety and a high rate of velocity.

Walmart Case study?

Largest retailer in the world, uses data mining to discover patterns, the main objective of holding big data at Walmart is optimization of shopping experience in Walmart stores.

What are some technologies and tools to help manage Big Data?

MapReduce, Apache Hadoop, Apache Spark, Apache Kafka, Apache Cassandra.

Procter & Gamble case study?

P&G has put a strong emphasis on using big data to make better, smarter, real-time business decisions.

What are the three major sources of Big Data?

People, Machine, Business

What are some examples of Big Data?

Reducing traffic congestion by analyzing streamed real-time data from cameras at strategic points , GPS data from taxis, and trucks, weather information.

What are applications of Big Data?

Smart Healthcare, Telecom, Retail, Traffic Control, Manufacturing, and Search quality.

What are the types of Big Data?

Structured, which is data from main frames, sql servers, Semi-Structured, associated with emerging market data, loyalty, third party data, and Unstructured which are sources from social media digital video and other devices.

What are some of the benefits of Big Data?

Target Better customer performance, redevelop products, keep data safe, perform better risk analysis, create new revenue streams, customize website in real-time, offer tailored health care, reduce maintenance cost, offer enterprise-wide insights, take smarter decisions.

What are some challenges with big data?

data quality, syncing across data sources, discovery, storage, analytics, security, lack of talent.

What are components and ecosystems of big data?

techniques for analyzing data, big data technologies, visualization + structured and unstructured data.

What is cloud computing?

the practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer.

What is the value of a Zettabyte?

1024 exabytes

Netflix case study?

Able to predict exactly what customers will enjoy viewing, data points help decide what customers watch, how often and ratings given.

How does cloud computing contributed to Big Data?

Cloud computing lowers the price to analyze big data as the resources are shared across many users, who pay only for the capacity they actually utilize.

What are some other examples of Big Data

Customer acquisition and retention, advertising solutions and marketing insights, risk management, innovations and product development, supply chain management.

eBay case study?

Forefront of using BDS and contributes its knowledge back to open source. Works with Apache Spark, Storm, Kafka. Metadata tags are used to make data consumable to many people with the right level of security permissions.

What is the data lifecycle stages of Big Data?

Generation, Collection, Processing, Storage, Management, Analysis, Visualization, Interpretation.

Name 5 ways companies are using Big Data to help customers?

Predictions, Customer excitement, improve customer service interactions, identifying customer opposition and find solutions, reduce health care costs and treatment improvement.

What is the main reason why people invest time to understand Big data?

To obtain value beneficial to all.

What are the 5 characteristics of Big Data?

Volume, Variety, Veracity, Velocity and, Value

What are the Big Data Case Studies?

Walmart, Uber, Netflix, eBay, and Procter & Gamble.