The Power of Graph Databases to Detect Fraud

Graph databases play a key role in fraud detection within intricate, complex networks, helping security teams keep pace with modern fraud techniques that are becoming increasingly more sophisticated. Graph databases can identify patterns and relationships in big data, reducing the level of complexity so that detection algorithms can effectively discover fraud attempts within a network.  […]

7 Essential Roles for a Successful AWS Migration

Increasingly more organizations initiate AWS migration due to the advantages provided by the AWS cloud platform. According to The Business Value of Migrating to AWS survey, 43% of AWS adopters report lower time-to-market for new features, 20% report infrastructure cost savings, and 66% note an increase in administrator productivity. However, AWS migration is a challenging task requiring a […]

OLTP Database Solutions for Today’s Transactions

Online transaction processing (OLTP) enables rapid, accurate data processing for most of today’s business transactions, such as through ATMs, online banking, e-commerce, and other types of daily services. With OLTP, the common, defining characteristic of any transaction is its atomicity, or indivisibility. A transaction either succeeds as a whole, fails, or is canceled. It cannot […]

Controlling SAP HANA Data Sprawl

Enterprises running large SAP HANA instances in the cloud are seeing a new challenge appear as their databases continue to grow. Since SAP HANA has a simplified data layout and structure compared to a more complex legacy database, it was assumed this would result in less data sprawl and duplication. But does the data stay […]

Modeling Modern Knowledge Graphs

In the buzzing world of data architectures, one term seems to unite some previously contending buzzy paradigms. That term is “knowledge graphs.”  In this post, we will dive into the scope of knowledge graphs, which is maturing as we speak. First, let us look back. “Knowledge graph” is not a new term; see for yourself […]

Spark vs. Flink: Key Differences and How to Choose

Apache Spark is an open-source, distributed computing system that provides a fast and scalable framework for big data processing and analytics. The Spark architecture is designed to handle data processing tasks across large clusters of computers, offering fault tolerance, parallel processing, and in-memory data storage capabilities.  Spark supports various programming languages, such as Python (via […]

Leveraging Data Stream Processing to Improve Real-Time Data Analysis 

Data stream processing is rapidly emerging as a critical technology for modernizing enterprise applications and improving real-time data analysis for data-driven applications. As businesses become more reliant on real-time data analysis, data stream processing enables them to analyze and process large amounts of data in real time, providing timely insights and enabling informed decision-making. Traditionally, […]