By C.Y. Kan
Design, construct, and study your info intricately utilizing Cassandra
About This Book
- Build expert information versions in Cassandra utilizing CQL and applicable indexes
- Grasp the Model-By-Query ideas via operating examples
- Step-by-step educational of a inventory industry technical research application
Who This booklet Is For
If you have an interest in Cassandra and need to improve real-world research functions, then this e-book is ideal for you. it might be necessary to have earlier wisdom of NoSQL database.
What you are going to Learn
- Discover the original approach of query-driven information modeling in Cassandra
- Explore the variations among a knowledge version of a relational database and that of Cassandra
- Master the right kind makes use of of the first index, composite key, compound key, and secondary index
- Design a high-performance Cassandra information model
- Develop an entire, real-world technical-analysis software for the inventory market
- Grasp the suggestions of evolving an information version in production
- Determine powerful functionality tuning, replication, and system-monitoring strategies
Starting with a short creation to Cassandra, this ebook flows via a number of facets similar to basic facts modeling methods, collection of facts forms, designing a knowledge version, identifying appropriate keys and indexes via to a real-world program, the entire whereas employing the simplest practices coated during this book.
Although the appliance is small, you can be all for the complete improvement lifestyles cycle. you are going to battle through the layout concerns of arising with a versatile and sustainable info version for a inventory industry technical-analysis program written in Python. As company alterations constantly and so does a knowledge version, additionally, you will study the suggestions of evolving a knowledge version to handle new company specifications. working a web-scale Cassandra cluster calls for many cautious concerns resembling evolving a knowledge version, functionality tuning, and process tracking. This publication is a useful instructional for an individual who desires to undertake Cassandra.
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Additional resources for Cassandra Data Modeling and Analysis
The coordinator commands the replication of the data within its range. It replicates the data to the other nodes in the ring. Cassandra provides the client with various configurable options to see how the data is to be replicated, which is called replication strategy. Replication strategy is the method of determining which nodes the replicas are placed in. It provides many options, such as rack-aware, rack-unaware, network-topology-aware, so on and so forth. [ 19 ] Bird's Eye View of Cassandra Snitch A snitch determines which data centers and racks to go for in order to make Cassandra aware of the network topology for routing the requests efficiently.
Tick_date = ''2014-04-24''; By virtue of the relational data model, we can simply write different SQL queries to return different results with no changes to the underlying data model at all. Cassandra version Now let us turn to Cassandra. The DDL statements in the last section can be slightly modified to create column families, or tables, in Cassandra, which are as follows: CREATE TABLE stock_symbol ( symbol varchar PRIMARY KEY, description varchar, exchange varchar ); CREATE TABLE stock_ticker ( symbol varchar, [ 38 ] Chapter 2 tick_date varchar, open decimal, high decimal, low decimal, close decimal, volume bigint, PRIMARY KEY (symbol, tick_date) ); They seem to be correct at first sight.
26 ] Cassandra Data Modeling In this chapter, we will open the door to the world of Cassandra data modeling. We will briefly go through its building blocks, the main differences to the relational data model, and examples of constructing queries on a Cassandra data model. Cassandra describes its data model components by using the terms that are inherited from the Google BigTable parent, for example, column family, column, row, and so on. Some of these terms also exist in a relational data model.
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