The financial sector is heavily data driven. Every day, trillions of data is generated by the global financial system; these data sets are the bedrock of the financial system since they support a ...

Although a serious engineering challenge, database vectorization delivers orders-of-magnitude performance boosts for a real-time analytics engine such as StarRocks. Here’s how we did it. Improving ...

Columnar databases help with Online Analytical Processing (OLAP) workloads since the queries touch across a subset of columns but a large number of rows for those columns. Columnar storage format ...

Abstract: Matlab is a matrix-processing language that offers very efficient built-in operations for data organized in arrays. However Matlab operation is slow when the program accesses data through ...

Vectorization is a type of parallel computing paradigm that performs arithmetic operations on an array of numbers within a single data processing unit. When using vectorized operations, developers ...