PROFESSIONAL NOSQL PDF
CHAPTER 1: NOSQL: WHAT IT IS AND WHY YOU NEED IT. 3. Definition and Introduction. 4. Context and a Bit of History. 4. Big Data. 7. Scalability. 9. Definition. This Pin was discovered by Mirja Uusitalo. Discover (and save!) your own Pins on Pinterest. Classifications and Comparisons of NoSQL Databases. .. The professionals of Ajatus agree with this in a blog post stating that.
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PROFESSIONAL. NoSQL. Shashank Tiwari. John Wiley & Sons, Inc. OSDI , salelive.info in section 2, titled Data. NoSQL databases are an efficient and powerful tool for storing and manipulating vast quantities of data. Most NoSQL databases scale well as data grows. PROFESSIONAL NOSQL BY SHASHANK TIWARI PDF. Professional NoSQL By Shashank Tiwari. Happy reading! This is exactly what we want to say to you.
Skip to main content. Log In Sign Up. Peretz Shoval. T here are many ways to store data. Un- and access requirements, high scalability, high til recently, data was most commonly availability, and lower management and opera- stored in relational databases. The tional costs.
We direct many movies, and a producer might pro- then present the ERD that models these require- duce many movies. A movie can be directed by ments. Later in this section, we define the com- more than one director, produced by more than ponents of our target GDBS.
An actor can play several roles in the same movie. An ac- Movie Recommendation System tor might also be a director or a producer, and Requirements vice versa. Based on such income GenreOf Examples of nodes, edges, properties, and were released in the same year or later.
A node is represented by a rectangle divided into two parts, the node label upper and the property names lower. An edge is represented ERD for the Movie Recommendation by a line with an arrow head pointing from the start System node to the end node.
Key properties are underlined, Figure 1 presents the ERD for the aforemen- and cardinality constraints are denoted using the tioned required system. In the figure, Actor, minimum and maximum number of nodes that can Director, Producer, and User are subtypes of Person.
These subtypes are not exclusive; an actor can also be a director, a producer can also be an actor, and so on. The subtypes cover all the possible are movie-ID key , title, release date, and average people in the system—that is, there are no other avg.
In Figure 2, a node is represented subtypes of Person, as indicated by the total cover by a rectangle divided into two parts: This Movie, and Rating: Monthly revenue is a weak entity that is relat- clude method names.
Note the partial key attributes year 1 month. An edge represents a relationship between two nodes.
Similar to nodes, here, too, we dis- Graph Database Schema Components tinguish between edge type and edge occurrence, The proposed graph database schema consists which is an edge between two specific nodes. An edge might also have properties.
A node represents an entity in the real An edge has a name which need not be unique world. Similar to the entity-relationship model, because it can be identified by its start and which makes a distinction between entity type end nodes.
The property is roles enabling an actor to and node occurrence. A node has a label name play more than one role in a movie. We could and properties, one of which is a key property define the start and end nodes in the opposite that enables its unique identification. For exam- direction as well; it actually does not matter, ple, for the node label Movie, the node properties because in either direction, the graph database computer.
An edge is represented by a line with an The method for creating the aforementioned arrow head pointing from the start node to the GDBS from an ERD consists of two steps: As said previously, both nodes and edges can have properties. Properties might have Adjusting the ERD constraints: Each node has a key that might be one or a only nodes and binary edges.
So, in the first step, combination of several properties. The property must have a value for all the following constructs: For example, title aggregation whole-parts relationships, and is a not-null property of Movie meaning that inheritance is-a relationships. The property can have many values. For Ternary relationships.
Tiwari S. Professional NoSQL [PDF] - Все для студента
A ternary relationship is example, roles is a set property of the edge be- mapped to a weak entity, with binary relations tween Movie and Actor, given that an actor to the entities involved in the ternary relation. If might play many roles in a movie. The system maintains an index for this weak entity. The name of the weak entity might property.
It can be assumed that the key prop- be identical to the name of the original ternary erty implies that it is indexed, but any other relationship, or be composed of the names of the property can also be indexed. The question involved entities, or be any name that resembles of which properties to index is beyond this its role.
In this example, with the underlined key property. Properties the ternary relation is n: A constraint of a three strong entities. In cases in which the ter- property, if it exists, is written after the prop- nary relation is n: For this, we use Aggregation whole-parts relationships. An the same notations used in the ERD—that is, aggregation relationship for example, a car is next to each node, we write the minimum and composed of an engine, wheels, gears, and so maximum number of nodes that can participate on is mapped to an ordinary binary relation- in each edge type.
Due to space the similarity to the respective relationships in limitations, an example for this case is not in- Figure 1.
Ternary relation to three binary relationships. The ternary relation is n: Inheritance is-a relationships.
Inheritance re- For example, in our ERD, Person is the super- lationships can be mapped in two different ways. Assuming that there is no The question of which of the two is better in T constraint, and given that there is no X con- terms of efficiency and time to process queries straint, the four subtypes will be removed, and will be addressed in further research.
According to this method, the involved The second possibility is removing the super- entities remain unchanged, but the is-a relation- entity and moving its properties and relationships ships are mapped to ordinary binary relation- to each of its subtypes. This mapping is applied ships, named is-a, with cardinalities 1: Therefore, then there is only one Actor subtype entity that there is no need to maintain the super-type.
We distinguish between two possi- adjusted ERD would look like that shown in op- bilities. The first is removing the subentities and tion 2 of Figure 4. This mapping is applied when the The mapping process consists of the following inheritance relationship is not defined with the T steps. For example, the lationship does not have an X, then the super- Movie entity is mapped as follows: Movie computer. Handling inheritance relationships.
The key property of this node is the end node is Genre ; possible name: For example, the Monthly revenue entity is mapped as follows: To the best of Mapping relationships to edges. Each relation- our knowledge, current graph databases do not ship between entities is mapped to an edge con- define cardinality constraints—that is, the min- necting the respective nodes. For example, Neo4j,8 on the roles of the connected nodes.
Graph database schema diagram. We show one possible mapping—namely, when inheritance relationships are mapped to remove subtype entities and move their attributes and relationships up to the super-type entity. It is important to in- n our graph database modeling approach, the clude such constraints because in some cases, we want to limit the number of nodes that can be involved in an edge type. First, we plan to compare the two pos- adopt the same notations as shown in Figure 5.
These ble mappings, namely, when the inheritance rela- comparisons will involve creating graph databases tionships are mapped so that the subtype entities for one or more domains possibly using existing are removed and their attributes and relationships databases , and utilizing different graph database are moved up to the super-type entity.
In addition, we Based on the resulting GDBS diagram, Figure 6 plan to conduct controlled experiments possibly defines a data definition language of the schema, with students to measure and compare the ease of which can be added to a graph database system use and quality of graph database schemas created such as Neo4j. Data definition language DDL of the schema. That previous sentence sums up the four biggest trends affecting data professionals today. But they need not be worried about NoSQL making years of relational database experience suddenly obsolete.
Many of same analytical and technical skills still hold importance. It remains important to realize that the changing needs of business — namely high scalability, increased velocity, improved analytics, and social interaction — are the primary drivers for the move towards NoSQL technologies.
To get a better feel for how NoSQL helps to achieve improvement in those areas, it helps to better define the term. The best way to look at the term is as a collection of different mostly non-relational technologies. The relational database model remains useful for many of the same traditional applications it served well over the past three decades.
Obviously superior to flat-file or hierarchical models for most applications, the relational model is generally easy to understand and analyze. Where relational model falls apart is with applications requiring massive amounts of data and scale, as well as those with the need for insanely fast querying or analytical capability — finding the proverbial needle in a haystack.
Enter NoSQL. Driven in part by the distributed nature of the Web, minimally structured databases with the ability to scale large amounts of data stored across server farms began to appear around the turn of the millennium.
Tiwari S. Professional NoSQL
Four different database technologies are the biggest players in the world of NoSQL. This initial usage remains somewhat unrelated to the NoSQL movement as its known today. Needing a name for conference covering a collection of open-source distributed databases an employee for the cloud hosting company, Rackspace , reused the NoSQL term for the event. This essentially means the term that came to describe the non-relational database movement had its origins in marketing.
In the highly social applications typically using NoSQL on the back-end, consistency from a database standpoint is hard to achieve while still providing a responsive user experience. Another obvious difference is the absence of a standard query language with most NoSQL databases.
Well, it is called NoSQL after all!
The language provides no DDL data description language functionality, i. Essentially a schema-less construct containing a key along with a piece of associated data or object, the Key-Value pattern is commonly used in programming as well. Most Key-Value databases follow the eventually consistent principle.
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