In the previous two blogs, we have discussed the consistency in two different context. In ACID, consistency means a data validity guarantee, which highly depends on the atomicity and isolation. In CAP theorem, the consistency states that a data system can provide the same view of the data. ACID statement…

In the previous post, we discussed ACID and transactions for relational database. However, ACID is very expensive and infeasible to achieve for distributed data systems due to the challenges we have discussed in this post. As the trends of large scale distributed system arise, people begin to discuss CAP theorem…

In the last post, I discussed transactions and relational database. As the world entered the data era since 2000s, many people consider data as the essential resource as fossil fuel. The new trends motivate the industry to build distributed data systems, since traditional database running on single machine cannot handle…

Traditional DBMS processing is build among transactions. Transaction is a crucial and useful abstraction provided by DBMS to model communication procedure. Database users depend on standard sets of properties that guarantee database transactions are processed reliably. These standard properties is a widely used acronym as ACID, which stands for Atomicity…