Data Ingestion

Frequently Asked Questions

• How does Mindex help with identifying and managing data sources?

  Mindex assists in identifying all potential data sources relevant to your business, whether they come from databases, IoT devices, logs, or external files. We also help structure this data and manage its volume, ensuring that all sources are effectively integrated into your data pipeline for seamless processing and analysis. 

• What do you mean by structuring data, and how do you determine its format?

  Structuring data involves assessing whether your data is organized in a specific format (structured) or if it lacks a predefined schema (unstructured). Mindex will evaluate the format and structure of your data to ensure it is properly prepared for ingestion and can be effectively used in your data processing and analytics workflows. 

• How do you handle large volumes of data and anticipate future growth?

  Understanding the size of your data—whether in gigabytes, terabytes, or petabytes—is critical for proper planning and management. Mindex will analyze your current data volume and growth rate to anticipate future needs and ensure your data infrastructure can scale accordingly. 

• Why is tracking data changes important, and how do you ensure data integrity?

  Tracking data changes is essential for maintaining data integrity and reliability. Mindex examines your source systems to ensure they effectively monitor and manage data changes, which helps prevent inconsistencies and supports accurate data analysis. 

• What is involved in a Data Architecture Review with Mindex?

  A Data Architecture Review with Mindex is a complimentary one-hour session led by a Certified AWS Data Architect. We’ll assess the key components of your data pipeline, including ingestion, storage, and analytics, to identify challenges and opportunities. This review helps establish a long-term data strategy and outlines actionable steps to enhance your data management and analytics capabilities.