You can buy this book by amazon.com.
Read moreAuthor: karden
Authentication and authorization in Hadoop cluster
Here we explain concepts behind activation of security in Hadoop cluster.
Read moreMeta data service and schema registry in data lake
Maintaining data description is useful feature. There are some ideas, how to implement this.
Read moreORM (object-relational mapping) analog for data in data lake
We start saving data in HDFS using avro format. In previous post we have discussed about forward and backward compatibility of avro schemas. How to use this concept?
Read moreRunning Apache Zeppelin in K8s cluster and integration with YARN cluster
Useful way for implementing CI/CD pipeline is to pack code as docker and run in K8s cluster. One very practical application for data analytics is notebook based tool Apache Zeppelin. Every business department requires own configuration for zeppelin. Hence, there is an idea to create docker containers for every department and run in k8s cluster.
Read moreBook notes – Microservice patterns: with examples in java
Structural minimization of tracking error
The structural tracking error minimization (STEM) approach produces stable tracking portfolios out-of-sample in the crucial investment period. Full version:
Quantitative Finance
Two infrastructure layers for distributed systems
It looks like, that separation between two infrastructure layers is increasing.
Read more
Why contracts are important in data intensive applications with microservices
Main purpose of using microservices architecture is to increase velocity of development and reduce system complexity.
Read more