#Futuro do BigData
Big data is a buzz words that doesn't mean much anymore. What is important is what we want to do with the data. Usually, we want to discover information that comes from crossing those data. When the movement started, we only have one kind of transformation available: Map Reduce. As the biggest challenge is to bring the algorithm where the data is and bring the data from its initial place to a storage that can allow the algorithm to run. With YARN, other algorithms can now run on top of Petabytes of data, that's why we see so much focus on query languages. A query language needs to be parsed, which lead to graphs structures and algorithms. As those kind of algorithm now can run on top of big data, a lot of effort are being made to have SQL running fast: subsecond queries on petabytes of data.
The data ingestion is also a challenge. How do you ingest million of rows per seconds keeping the system consistent? Instead of using 2 Phase commit kind of transaction, you start using Highly Available transaction that provides a level of consistency that most SGDB provides by default with partitionning and high availability. It still doesn't provide use the level of Consistency CAP is using in its definition but most SGBD don't due to performance impact.
Ingest peta bytes of data and offer great consistency!! On top of
- Colossus distributed file system
- BigTable
- Mapreduce
- Paxos for consistency
Consistency through Paxos: distributed synchronization protocol. Probably using BigQuery
Stinger.next é o nome de um projeto da Hortonworks focando em permitir SQL em cima de Hadoop. Deixando a execucao de SQL em cima de Terrabyte em menos de um segundo.
MapReduce does what it was intended to do: store and process large datasets in batches, inexpensively. Sincronous batch process that can take hours, days. Good for some offline analysis. Bad for more near real time demands.
Big data is a buzzword that lost its meaning. Melhor falar do problema que tu queres resolver: data transformation, storage, retrieval, ML, data mining, pattern recognition, distributed computing?
3V : volume, velocity, variety 4th V: VALUE By integrating big data into a CRM solution, companies can predict customer behavior, improve customer service, and calculate ROI more accurately.
#Atendimento ao Cliente
A description of a customer or set of customers that includes demographic, geographic, and psychographic characteristics, as well as buying patterns, creditworthiness, and purchase history.
Understand who your ideal customer is and what similarities they have.
Find the places your customers are attracted to, whether a physical location or a cyber space
Review the needs and benefits that make your customers purchase your product or service.
Reach out to your current, ideal customers to gain additional insight into what made them select your business over others
Create profiles that describe specific segments of your current clients. Ensure that the profiles are tangible, so that you can envision this person and what would motivate them to find your business.
Habits or behaviors currently prevalent among consumers of goods or services. Consumer trends track more than simply what people buy and how much they spend. Data collected on trends may also include information such as how consumers use a product and how they communicate about a brand with their social network.
We need to look at what consumer are buying, but most importantly WHY to be able to anticipate future move. It is a scouting information relying on what, why and how consumers are buying, using goods or services, to be able to create product that will have the caracteristics consmers will be looking for.
Examples: Guilt-free: no one want to feel guilty to be using a product => low energy consumption, 'green' cars ...
Customer experience (CX) is the sum of all experiences a customer has with a supplier of goods and/or services, over the duration of their relationship with that supplier.
positioning statement that explains what benefit you provide for who and how you do it uniquely well.
- DEFINE the problem set to help vet whether it’s a problem worth solving
- EVALUATE whether your breakthrough is unique and compelling
- MEASURE potential customer adoption using the Gain/Pain Ratio
A user journey is a path a user may take to reach their goal when using a particular website. User journeys are used in designing websites to identify the different ways to enable the user to achieve their goal as quickly and easily as possible.
#Motivacao 2.0
Caracteristicas marcantes de uma pessoa. Forma fisica vai influenciar na auto estima de maneira positiva ou negativa alterando o comportamento e a percepcao que os outros tem. Temperamento vai influenciar o comportamento afetivo, a excitacao e atencao Inteligencia e criatividade vao influenciar a maneira de lidar com problemas, a abertura a novas experiencas, a competência social, maneira de defender ou impor seu interesses, e a capacidade de construir relacionamentos. Valores
Reason pushing someone to do something.
Conscious and inconscious motivation. You might be doing something for an inconscious reason justifying it with a conscencious reason.
16 types of people http://www.personalitypage.com/high-level.html Kinds of people that share common caracteristics.
Motivation driven by enjoyment or interest in the task itself. It comes from the person itself instead of pressure or reward. Intrinsically motivated people will be more likely to engage in the task willingly as well as work to improve their skills. People will more likely feel intrincically motivated when:
- they feel autonomy
- believe they have the skills to perform the task: self efficacity belief
- interested in mastering topic, not just being good.