In our previous discussions, we have compared Apache Cassandra with Apache Hbase and Apache Cassandra with MongoDB. In one of those articles, we already mentioned that Apache Cassandra is more appropriate to compare with Apache Phoenix than Apache HBase. Also, it will make understand why commonly HBase is compared with Apache Cassandra, not Apache Phoenix. Apache Phoenix is a relational … [Read more...]

In the last article we have compared Cassandra with MongoDB. That comparison made it obvious that we need to compare Cassandra with HBase, and MongoDB with HBase to complete the understanding. Cassandra and HBase are similar at many things but Cassandra's consistency model is like DynamoDB to provide eventual consistency. HBase is a part of HDFS which runs on top of Hadoop (based on … [Read more...]

Previously we compared DynamoDB and MongoDB. MongoDB vs Cassandra is another frequently compared NoSQL database. Apache Cassandra is fully Free and Open Source Software which provides scalability. MongoDB is developed by MongoDB Inc, it has other options than just the MongoDB Open Source Software we commonly use. Apache Cassandra has scalability, linear performance, distributed architecture, … [Read more...]

Both Apache Hadoop and Apache Spark are big-data frameworks, but they do not serve the same purposes. Actually there are multiple big data frameworks on the market, Apache and Hadoop and Apache Spark are most known among them. They are commonly used to train the starters. But in real life, choosing the right big data framework is a challenge. Businesses consider each of the framework for their … [Read more...]

Scaled Agile Framework (SAFe) is an organization and process schema for large-scale deployment of Agile and Lean methods. SAFe tries to answer the problem of large organizations (companies or administrations) who wish to work together several Agile teams. SAFe also aims to deploy Agile and Lean culture and practices across all layers of the organization, from management to developers. Inspired … [Read more...]

Predictive analysis is a group of analysis which uses machine learning, data mining, statistical algorithms to analyze data to make predictions. The goal of predictive analysis is to cross the capability of descriptive statistics and reporting and provide the best assessment on what will happen in the future. The end result helps in streamline decision making and produce new insights. Predictive … [Read more...]

Extract, Transform and Load (ETL) is the process which allows the organizations to move data from multiple sources, reformat, clean them, load them into another database, data mart, or data warehouse to analyze, or in use in another operational system to support a business process. ETL processes can also be used for integration with legacy systems. They became a popular concept in the … [Read more...]

User behavior analytics (UBA) is a cybersecurity process around detecting threats, attacks, and fraud. These solutions watch the patterns of human behaviour and apply different statistical analysis to detect abnormalities from patterns which may indicate threats. User Behavior Analytics is closer to Security and Information Event Management. Security and Information Event Management focus on … [Read more...]