March 2018 Summaries

CData Software is a leading provider of data access and connectivity solutions that streamline data access and insulate customers from complex integrations with various databases and systems.` `The company offers a range of products including data connectors, ETL/ELT solutions, cloud and API connectivity, OEM and custom drivers, as well as data visualization tools.` `CData Software aims to address major data management challenges facing organizations by providing standards-based connectors that simplify data integration and provide insulation from database complexities.` `The company's solutions help customers improve their data management capabilities and reduce the complexity of integrating with different data sources.

The CData Drivers for CSV allow users to connect to remote CSV data as if it were a database, enabling real-time access and updates in business intelligence (BI) tools like Power BI. By using the drivers, users can bind to a remote directory as a database, giving them access to live, remote CSV data. The drivers support various data sources such as Box, Google Drive, Amazon S3, SharePoint, FTP/FTPS Servers, and HTTP/HTTPS streams. To connect to CSV data, users need to install the ODBC Driver and configure a DSN with connection properties based on the service being connected to. Once configured, users can visualize the data in Power BI using dashboards, charts, and graphs that are updated dynamically. The drivers also support defining relationships between tables and provide metadata querying capabilities to build a schema based on the data. With the CData Drivers, users can connect BI tools and custom applications to remote CSV data, providing real-time insights into enterprise data stored in cloud storage services.

Connecting Data To Machine Learning & AI Data that has been collected, collated, and cleansed is ripe for analysis and insight generation. Advances in machine learning and AI are helping deliver on the promises of augmented analytics to produce actionable insights by pairing machine learning techniques with prepared data. This enables organizations to achieve more accurate predictions and measurable analysis on all kinds of business functions. A growing number of BI and Analytics tools vendors are responding to the need for augmented BI by making stored data more easily accessible through APIs, which is a critical first step that gives IT the ability to build connections from machine learning products to raw, cleaned, and prepared data. The promises of AI and ML are exciting, and our engineering teams have worked hard to streamline connectivity between popular augmented intelligence platforms and real-time data, providing standards-based drivers that simplify integration with ML, offering a consistent and reliable interface for consuming real-time data. By connecting leading machine learning solutions to real-time data through our drivers, businesses can build models and train the platforms on the data to create predictions, generate insights, and fuel actions, and get started with a free, 30-day trial of any of our drivers.