April 2019 Summaries

Apache Kafka is being increasingly integrated with various systems and solutions to process large amounts of data in real-time, log data, or create metric data from different sources. CData Sync enables easy integration with CRM, ERP, and Analytics software using Apache Kafka as a centralized handler. Setting up the Kafka destination in CData Sync is straightforward, requiring only the server and port information, along with authentication settings if needed. The system uses a local SQLite database to handle state issues, storing the last replication timestamp to filter new records. Optimizations such as compression, batch size management, and transform functionality can be applied to manage message size and improve performance. Scheduled jobs allow for automatic record ingestion, ensuring data feeds are always up-to-date with new entries. The combination of CData Sync and Apache Kafka provides a powerful solution for replicating data from various sources to support analytics, logging, and other requirements.

The CData SSIS Integration Suite has been significantly enhanced with the latest 2019 release, offering powerful new Lookup components and Execute tasks that simplify data flows and provide unprecedented connectivity for SSIS packages deployed on-premise or in the cloud. The JDBC Drivers have also been updated with usability enhancements, including embedded source-specific "Connection String Builder" wizards, while ADO.NET Data Providers support integration with Microsoft Visual Studio 2019 and Entity Framework Core 2.0 and 2.1. New drivers are available for more than 200+ Enterprise data sources, including Act-On, Acumatica, Amazon Marketplace, and others.

Snowflake and SQL Server Analysis Services (SSAS) are used together for enterprise-grade analytics by connecting Snowflake data warehouses to SSAS instances, enabling the creation of OLAP cubes that can be accessed through various business intelligence tools such as Power BI, Excel, and Reporting Services reports. The CData ADO.NET Provider facilitates this integration, allowing users to build semantic data models and deploy them to SSAS instances for analysis and reporting purposes.

Marketo Data Replication is a process of integrating and replicating data from Marketo's marketing automation software into other systems or databases. The goal is to overcome API access costs, rate limits, and concurrency limits that come with using Marketo's native APIs. CData Sync is a tool that enables automated, continuous replication of Marketo data into various destinations such as MySQL, SQL Server, Google BigQuery, Amazon S3, and more. It provides flexible options for incremental replication, near real-time reporting, workarounds for API limitations, and reliable connectivity to databases. By using CData Sync, users can overcome the challenges of integrating Marketo data with their existing systems and tools.