Download Cassandra Data Modeling and Analysis by C.Y. Kan PDF

By C.Y. Kan

Design, construct, and study your facts intricately utilizing Cassandra

About This Book

  • Build expert facts types in Cassandra utilizing CQL and acceptable indexes
  • Grasp the Model-By-Query concepts via operating examples
  • Step-by-step instructional of a inventory marketplace technical research application

Who This publication Is For

If you have an interest in Cassandra and wish to strengthen real-world research purposes, then this e-book is ideal for you. it might be priceless to have earlier wisdom of NoSQL database.

What you are going to Learn

  • Discover the original manner of query-driven facts modeling in Cassandra
  • Explore the variations among an information version of a relational database and that of Cassandra
  • Master the proper 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 program for the inventory market
  • Grasp the suggestions of evolving a knowledge version in production
  • Determine powerful functionality tuning, replication, and system-monitoring strategies

In Detail

Starting with a brief advent to Cassandra, this booklet flows via numerous features resembling primary info modeling methods, number of information forms, designing an information version, deciding upon compatible keys and indexes via to a real-world software, the entire whereas employing the easiest practices coated during this book.

Although the applying is small, you may be excited by the entire improvement existence cycle. you are going to battle through the layout concerns of bobbing up with a versatile and sustainable info version for a inventory marketplace technical-analysis program written in Python. As company alterations regularly and so does an information version, additionally, you will examine the options of evolving a knowledge version to deal with new enterprise requisites. working a web-scale Cassandra cluster calls for many cautious issues akin to evolving an information version, functionality tuning, and approach tracking. This publication is a useful educational for someone who desires to undertake Cassandra.

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Additional resources for Cassandra Data Modeling and Analysis

Sample text

The word sorted means that the data inside the SSTable is indexed and sorted and hence the data can be found very quickly. Since the write operation is log-based and memory-based, it does not involve any read operation, and therefore the write operation can be extremely fast. If a failure happens, the commitlog can be used to replay the sequence of the write operations to merge the data that persists in the SSTables. Read operation is also very efficient by looking up the data in the memory store and the indexed SSTables, which are then merged to return the data.

The columns involved are symbol, description, tick_date, close, and exchange. The first four columns are obvious, but why do we need the exchange column? The exchange column is necessary because it is used as a filter for the query. Another implication is that the exchange column is required to be the row key, or at least part of the row key. Remember two rules: 1. A row key is regarded as a partition key to locate the nodes storing that row 2. A row cannot be split across two nodes In a distributed system backed by Cassandra, we should minimize unnecessary network traffic as much as possible.

When the memtable is full, the data inside the memtable is flushed to a disk storage structure, SSTable. The writes are automatically partitioned by the row key and replicated to the other nodes holding the same partition. Cassandra provides linear scalability, which means that the performance and capacity of the cluster is proportional to the number of nodes in it. [ 17 ] Bird's Eye View of Cassandra Partitioning The ability to scale horizontally and incrementally is a Cassandra key design feature.

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