Being a data scientist is not only about building machine learning models but also about being able to process, analyze and better communicate your results from data in different formats. Traditional SQL databases have been used as the only type of database for years. However, due to the extre...
A common misconception about NoSQL databases is that the “No” means no SQL is used in the database at all. As mentioned earlier, the “No” stands for “not only.” You may find some SQL in NoSQL databases. Another source of confusion is that there is no single definition of a No...
SQL, short for Structured Query Language, is a widely used database query language developed by IBM in 1970. Originally known as SEQUEL, it became publicly available in 1979. That’s probably why, even today,some people saySQL as “sequel” while the generally accepted pronunciation is “ess-...
I used to be very heavy sequel and you know, that was where data lived. It was always in SQL based database. And eventually as time went on, we've kind of learned that. You know, maybe there's other ways or better ways to store data. And so I was, I've been part of that ...
Performance as “in sharded environments, distributed locks could be expensive and slow”. MongoDB is intended to be “leightweight and fast”. Avoidance of deadlocks Keeping database operations simple and predictable MongoDB shall “work well for realtime problems”. Therefore, locking of large am...
In this study, we develop a benchmark framework, GeoYCSB, for the performance and scalability evaluation of NoSQL databases for geospatial workloads. We extend YCSB (Yahoo! Cloud Serving Benchmark) [8] to design GeoYCSB. YCSB is the most prominent NoSQL database benchmark used by big data...
In essence, the database is the central repository for all the key business systems. The database can also act as the point of integration between business systems, enabling them to work with each other and share information, as shown in Figure 1. In this example, the Sales application ...
Proliferation of structural, semi-structural and no-structural data, has challenged the scalability, flexibility and processability of the traditional relational database management systems (RDBMS). The next generation systems demand horizontal scaling b
used without an “official” definition. Generally speaking, a NoSQL database is one that uses a different approach to data storage and access when compared with relational database management systems [7,8]. NoSQL databases lose the support for ACID transactions as a trade-off for increased ...
Without getting into the differences between specific engines, relational SQL databases are still themost widely useddatabase engines throughout the world. Developed throughout the 1970s, SQL was first released as a language in 1979, and still today remains the dominant language for communication wit...