All things Big Data, Hadoop, and NoSQL

Dale Kim

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Latest Blogs from Dale Kim
With the proliferation of NoSQL databases in recent years, it can be easy to forget that not long ago, we were all discussing how to optimize traditional relational databases to perform tasks for non-relational workloads. Before we were talking about cost-effective horizontal scaling, ...
Apache Hadoop is an open source big data processing platform that comes with its own extensive ecosystem to support various business and technical needs. Hadoop’s specialty is large-scale processing and analytics over volumes of data that cannot be efficiently handled by traditional te...
NoSQL databases are highly scalable and capable of solving a wide range of data problems, which make them great for supporting complex, unpredictable, and large volumes of data. While still considered relatively young in the enterprise software market--the current industry adoption is ...
Today’s web-based applications are highly demanding, so the databases that hold their vast stores of information are not only expected to be very flexible in nature (supporting various data formats), but also to manage extreme performance and scaling. In this article I compare NoSQL to...
NoSQL databases are powerful tools for supporting big data applications, maximizing scalability, performance, and availability. Their unique features and easy implementation render them well-equipped to meet a variety of enterprise needs in a range of use cases. In this post I discuss ...