May 2021 Summaries

Salesforce and Snowflake are two popular cloud-based platforms that often need to be integrated with each other to facilitate analytics and reporting. To achieve this integration, many organizations use ETL/ELT processes to automate and schedule data replications from Salesforce into Snowflake. CData Sync is a leading Data Pipeline solution that simplifies the process of cloud enterprise data replication by providing an easy-to-use interface for setting up automated data replications. With Sync, users can replicate data from 100+ sources to 30+ destinations, including Salesforce and Snowflake, with minimal coding required. The platform offers features such as automatic scheduling, logging, and monitoring, as well as support for incremental data transfer, bulk replication, and notification systems to simplify troubleshooting.

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, SaaS, APIs, NoSQL, and Big Data.` The company offers standards-based connectors to address major data management challenges, including ETL/ELT solutions, cloud and API connectivity, OEM and custom drivers, and data visualization. CData Software aims to improve and customize the browsing experience through analytics and metrics about visitors, while also protecting user privacy with its Privacy Policy.

Data-driven organizations rely on ETL (extract, transform, load) tools to consolidate data from various sources into a data warehouse. The most common approach to consolidation is using ETL software as the plumbing within the business, supporting data pipelines that optimize data movement and aggregation. When selecting an ETL tool, it's essential to consider factors such as compatibility with third-party tools, extensibility and future-proofing, usability, documentation and support, security and compliance, pricing, batch and stream processing, reliability and stability, and data transformations. A suitable ETL tool should provide a user-friendly interface, robust error handling, logging mechanisms, and pushdown optimizations, while also supporting high-performance ELT availability and providing strong authentication capabilities to protect data integrity. Ultimately, the chosen ETL tool should be able to meet growing data volumes without service degradation, offer versatility in adapting to changing data processing needs, and provide a secure solution that can pipe data into and out of databases without copying it into their systems.

CData provides a direct SQL interface for Snowflake that enables users to quickly and easily attach OLAP cubes created in SSAS directly to their data in Snowflake, allowing businesses to continue using their preferred processes and platforms to work with their business data, no matter where it is stored. This allows companies to centralize business measures such as key performance indicators (KPIs) and rapidly build dynamic reports and dashboards. By leveraging OLAP for advanced analytics on your data warehouse with SSAS, businesses can gain actionable insight from their business data and improve decision-making capabilities.

Defining clear data goals is crucial for managing business data effectively, as it helps organizations meet their business objectives through data utilization. Identifying relevant business data is also essential to achieve these goals, and recognizing the purpose of that data is critical. Utilizing existing data technology, such as analyzing data and navigating database software, is vital to ensure a symmetrical flow of data. Planning for changes in data and technology requires flexibility and agility to account for new technologies and disruptions. By adapting throughout the process and accounting for all factors, organizations can successfully manage their data and provide value to their business.

CData Sync 2021 Released` builds on enterprise-class data pipeline features with new capabilities to improve performance, scalability, and governance. The update includes ELT SQL Transformations for efficient data transformation, SQL Server Change Tracking for incremental SQL Server data replication, Oracle Flashback Query for incremental Oracle data replication, Load Folder for automating bulk-loading of CSV/TSV and flat-file content, User Roles for assigning user permissions, new Destinations including support for Vertica, and continuous performance enhancements. The release also supports role-based access control, enabling granular permission management, and integrates with popular platforms like Snowflake, AWS, Azure, Cerner, Etsy, Intuit, Uber, and others. All current subscription customers can upgrade to the latest version of CData Sync by downloading it from `https://www.cdata.com/sync/download`.

The lack of data connectivity is a significant limiting factor to the successful adoption of low-code/no-code development, with 70% of respondents stating that inability to access external data is a major obstacle. Most organizations are unable to interface with required data, and only 20% of cases meet their enterprise's needs for data connectivity and synchronization. To overcome this challenge, pre-configured CData Connectors can provide the necessary connectors for over 250+ data sources, enabling low-code/no-code platforms to access external data. This is crucial for the effective development of applications that require data integration with back-end systems, databases, web services, and APIs.

CData Connect provides a common platform for accessing enterprise data from various sources, empowering teams to efficiently manage their diverse data ecosystem. By offering free, distributable drivers and connectors, CData Connect simplifies data management and access control, allowing corporate IT teams to provide simplified data management and access control. The solution supports multiple platforms and tools, including Power BI, Excel, Tableau, and SSIS, enabling real-time business intelligence, reporting, and more. With bi-directional connectivity and governance features, CData Connect enables users to access live data from multiple sources, perform data cleansing or de-duplication directly from Excel, and provide a single point of contact for every data consumer across the enterprise.

DBAmp is a tool that enables organizations to connect and integrate their Salesforce data with SQL Server-based systems, such as on-premises accounting and ERP systems. This connection allows for bi-directional data flow between the two systems, enabling real-time access to data for reporting and business intelligence purposes. The tool provides a hybrid approach to data access, allowing users to replicate large amounts of slow-changing information on a set schedule while accessing dynamic Salesforce data in real-time. By using DBAmp, developers can build integrations quickly and efficiently, supporting demanding business needs and providing an optimized solution for BI and reporting on Salesforce data.

The digital universe is expected to grow exponentially by 2025, with worldwide data predicted to reach 175 zettabytes. Businesses need to effectively manage their data growth to compete and succeed. Multiple databases and methods of data management can lead to data fragmentation, emphasizing the need for consolidation. Consolidation strategies include physical and logical data warehousing. Physical data warehousing aggregates data into a centralized database or data warehouse, while logical data warehousing provides a unified interface for accessing data regardless of location or type. The choice of strategy depends on business needs, including types of data required, speed of access to the data, and resources available to support the data infrastructure. Organizations must carefully weigh their options to select the best approach for their data management needs.

Tableau has selected CData to expand its real-time data connectivity offerings, enabling customers to connect to critical cloud applications and data sources that power their businesses. As organizations shift towards the cloud, data is becoming increasingly fragmented, making it essential for companies like Tableau to have robust data connectivity solutions. CData's extensive portfolio of data connectivity solutions will simplify data access and insulation from integration complexities, allowing customers to make informed decisions based on real-time data from over 250 enterprise data sources. This partnership aims to provide fast, secure access to enterprise SaaS, relational, and NoSQL data for analysis, addressing the breadth of data connectivity, security, and performance requirements. The collaboration will benefit thousands of organizations worldwide that rely on CData connectivity to overcome data fragmentation and unlock value from diverse, dispersed data assets.