Maximizing ROI for Your Big Data Management Budget
Let’s face the facts: you have a limited budget for your Big Data management needs. Yet, there are so many solutions out there, and so much information that you need to manage. How can you maximize your ROI for Big Data management solutions?
The answer lies in choosing the right solutions. Read on to learn about how Syncsort’s Connect for Big Data and Trillium DQ for Big Data maximize your ROI for these solutions.
The Principles of Big Data Management
Before we discuss how these Syncsort solutions maximize your Big Data management ROI, let’s take a moment to explore the principles of Big Data management.
Big Data management refers to the organization, administration, and governance of large volumes of information. This data can be unstructured or structured. The goal of Big Data management is to ensure high data quality and accessibility for business intelligence and analytics applications.
To get the greatest ROI from your Big Data management solutions, they must be able to work quickly, simply, and effectively. In the next sections, we’ll describe how Connect for Big Data and Trillium DQ meet those requirements.
Connect for Big Data
Connect for Big Data is data integration software designed for building modern data pipelines with highly scalable distributed computing frameworks such as Spark and MapReduce. It allows you to easily and quickly move large amounts of data into data lakes so they can be analyzed.
The prime benefit of Connect for Big Data is that it connects to all enterprise information, regardless of the source or its complexity. That capability means that you don’t miss out on information just because it’s stored in a mainframe or because it’s in a streaming platform. Connect for Big Data links securely to almost any source, using native drivers to extract information for guaranteed optimal speed and efficiency.
To learn more about our Syncsort Connect family, watch our video.
Trillium DQ for Big Data
Trillium DQ for Big Data is a product in the Trillium family. It’s an integrated solution that profiles, cleanses, standardizes, and matches. Trillium DQ for Big Data lets users connect data sources, profile them, and explore their contents for issues and anomalies.
Why choose Trillium DQ for Big Data? You need to be able to trust your information, which sadly, many companies cannot. Their data can be inaccurate, in multiple formats, and simply not useful for analysis or other functions.
Trillium DQ for Big Data addresses these problems by connecting to data sources and running profiling processes. Data profiling processes utilize the distributed architectures of frameworks such as MapReduce and Spark, without requiring technical expertise. Users can then leverage out-of-the-box and ad hoc business rules to further drill down to specific issues.