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Data Integration with AWS Glue
04Sep

Data Integration with AWS Glue

The rapid rise of Software as a Service (SaaS) solutions has led to data silos across different platforms, making it challenging to consolidate insights. Effective data analytics depends on the ability to seamlessly integrate data from various systems by identifying, gathering, cleansing, and combining it into a unified format. AWS Glue, a serverless data integration service, simplifies this process with scalable, efficient, and cost-effective solutions for unifying data from multiple sources. By using AWS Glue, organizations can streamline data integration, minimize silos, and enhance agility in managing data pipelines, unlocking the full potential of their data for analytics, decision-making, and innovation. This insight explores the new Salesforce connector for AWS Glue and demonstrates how to build a modern Extract, Transform, and Load (ETL) pipeline using AWS Glue ETL scripts. Introducing the Salesforce Connector for AWS Glue To meet diverse data integration needs, AWS Glue now supports SaaS connectivity for Salesforce. This enables users to quickly preview, transfer, and query customer relationship management (CRM) data, while dynamically fetching the schema. With the Salesforce connector, users can ingest and transform CRM data and load it into any AWS Glue-supported destination, such as Amazon S3, in preferred formats like Apache Iceberg, Apache Hudi, and Delta Lake. It also supports reverse ETL use cases, enabling data to be written back to Salesforce. Key Benefits: Solution Overview For this use case, we retrieve the full load of a Salesforce account object into a data lake on Amazon S3 and capture incremental changes. The solution also enables updates to certain fields in the data lake and synchronizes them back to Salesforce. The process involves creating two ETL jobs using AWS Glue with the Salesforce connector. The first job ingests the Salesforce account object into an Apache Iceberg-format data lake on Amazon S3. The second job captures updates and pushes them back to Salesforce. Prerequisites: Creating the ETL Pipeline Step 1: Ingest Salesforce Account Object Using the AWS Glue console, create a new job to transfer the Salesforce account object into an Apache Iceberg-format transactional data lake in Amazon S3. The script checks if the account table exists, performs an upsert if it does, or creates a new table if not. Step 2: Push Changes Back to Salesforce Create a second ETL job to update Salesforce with changes made in the data lake. This job writes the updated account records from Amazon S3 back to Salesforce. Example Query sqlCopy codeSELECT id, name, type, active__c, upsellopportunity__c, lastmodifieddate FROM “glue_etl_salesforce_db”.”account”; Additional Considerations You can schedule the ETL jobs using AWS Glue job triggers or integrate them with other AWS services like AWS Lambda and Amazon EventBridge for advanced workflows. Additionally, AWS Glue supports importing deleted Salesforce records by configuring the IMPORT_DELETED_RECORDS option. Clean Up After completing the process, clean up the resources used in AWS Glue, including jobs, connections, Secrets Manager secrets, IAM roles, and the S3 bucket to avoid incurring unnecessary charges. Conclusion The AWS Glue connector for Salesforce simplifies the analytics pipeline, accelerates insights, and supports data-driven decision-making. Its serverless architecture eliminates the need for infrastructure management, offering a cost-effective and agile approach to data integration, empowering organizations to efficiently meet their analytics needs. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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September 4, 2024in Salesforce
Zero ETL
13Jun

Zero ETL

What is Zero-ETL? Zero-ETL represents a transformative approach to data integration and analytics by bypassing the traditional ETL (Extract, Transform, Load) pipeline. Unlike conventional ETL processes, which involve extracting data from various sources, transforming it to fit specific formats, and then loading it into a data repository, Zero-ETL eliminates these steps. Instead, it enables direct querying and analysis of data from its original source, facilitating real-time insights without the need for intermediate data storage or extensive preprocessing. This innovative method simplifies data management, reducing latency and operational costs while enhancing the efficiency of data pipelines. As the demand for real-time analytics and the volume of data continue to grow, ZETL offers a more agile and effective solution for modern data needs. Challenges Addressed by Zero-ETL Benefits of ZETL Use Cases for ZETL In Summary ZETL transforms data management by directly querying and leveraging data in its original format, addressing many limitations of traditional ETL processes. It enhances data quality, streamlines analytics, and boosts productivity, making it a compelling choice for modern organizations facing increasing data complexity and volume. Embracing Zero-ETL can lead to more efficient data processes and faster, more actionable insights, positioning businesses for success in a data-driven world. Components of Zero-ETL ZETL involves various components and services tailored to specific analytics needs and resources: Advantages and Disadvantages of ZETL Comparison: Z-ETL vs. Traditional ETL Feature Zero-ETL Traditional ETL Data Virtualization Seamless data duplication through virtualization May face challenges with data virtualization due to discrete stages Data Quality Monitoring Automated approach may lead to quality issues Better monitoring due to discrete ETL stages Data Type Diversity Supports diverse data types with cloud-based data lakes Requires additional engineering for diverse data types Real-Time Deployment Near real-time analysis with minimal latency Batch processing limits real-time capabilities Cost and Maintenance More cost-effective with fewer components More expensive due to higher computational and engineering needs Scale Scales faster and more economically Scaling can be slow and costly Data Movement Minimal or no data movement required Requires data movement to the loading stage Comparison: Zero-ETL vs. Other Data Integration Techniques Top Zero-ETL Tools Conclusion Transitioning to Zero-ETL represents a significant advancement in data engineering. While it offers increased speed, enhanced security, and scalability, it also introduces new challenges, such as the need for updated skills and cloud dependency. Zero-ETL addresses the limitations of traditional ETL and provides a more agile, cost-effective, and efficient solution for modern data needs, reshaping the landscape of data management and analytics. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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June 13, 2024in Snowflake
career
05Dec

Amazon Salesforce

The world’s leading cloud provider and the #1 CRM platform are making it easier for customers to seamlessly and securely manage their data across Salesforce and AWS. Now able to safely and responsibly use the latest generative artificial intelligence (AI) technologies in their applications and workflows. AWS and Salesforce support customers through new and enhanced integrations. Integrations between AWS technologies and Salesforce products, including unified data management, seamless deployment of AWS’s voice, video, and AI services, streamlined purchasing options through AWS Marketplace, and more. Amazon Salesforce is a marriage for the IT ages. In November 2023, Salesforce and Amazon announced a partnership. New joint innovations enhance data management, improve customer experiences, and enable AI-powered applications Salesforce significantly expands its use of AWS across its full portfolio and is taking an AWS-native approach for its most strategic and fastest growing innovation. The Salesforce Data Cloud. AWS increases its company-wide use of Salesforce CRM offerings, including adopting Data Cloud to manage its unified customer profiles. With Salesforce now available on AWS Marketplace, thousands of joint customers can accelerate their deployment of Salesforce products through seamless buying and billing experiences. San Francisco and Las Vegas — November 27, 2023 At AWS re: Invent, Amazon Web Services (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), and Salesforce, the #1 AI CRM (NYSE: CRM), today announced a significant expansion of their long standing, global strategic partnership. By deepening product integrations across data and artificial intelligence (AI), and for the first time offering select Salesforce products on the AWS Marketplace. The expanded agreement makes it easier for customers to seamlessly and securely manage their data across Salesforce and AWS,. Increasing the ability to safely and responsibly infuse the latest generative AI technologies into their applications and workflows. “Salesforce and AWS make it easy for developers to securely access and leverage data and generative AI technologies to drive rapid transformation for their organizations and industries. With this expanded partnership, our joint customers gain powerful new ways to innovate, collaborate, and build more customer-focused applications using the broadest and deepest set of cloud services.” Adam Selipsky, CEO, AWS How Customers Benefit To make it easier for customers to benefit from the combined value of Salesforce and AWS, the companies will deepen the integrations between AWS and Salesforce products. Salesforce will now support Amazon Bedrock. Bedrock is a fully managed service that makes foundation models (FMs) from leading AI companies available through a single application programming interface (API). This is part of Salesforce’s open model ecosystem strategy. Making Amazon Bedrock available through the Einstein Trust Layer to power AI-driven apps and workflows in Salesforce. In addition, Salesforce Data Cloud will expand to support data sharing across additional AWS technologies. These Data Cloud integrations will be governed by new centralized access controls. Thereby giving customers the ability to manage secure user access at the folder, object, and file level for Data Cloud content stored in Amazon Simple Storage Service (Amazon S3). Expanded Use of Amazon Web Services As part of this partnership, Salesforce will expand its use of Amazon Web Services, including compute, storage, data, and AI technologies through Hyperforce. Therefore further enhancing popular services like Salesforce Data Cloud. AWS will also expand its use of Salesforce products. Data Cloud will allow AWS to create a single unified customer profile allowing them to deliver more personalized experiences to customers.  Notable Quotable “We’re bringing together the #No. 1 AI CRM provider and the leading cloud provider to deliver a trusted, open, integrated data and AI platform, and ensuring we meet massive customer demand for our products on the AWS Marketplace. With these enhancements to our partnership, we’re enabling all of our customers to be more innovative, productive and successful in this new AI era.”  Marc Benioff, chair and CEO, Salesforce These new and enhanced integrations will include: Availability: What is Amazon Connect Salesforce? The Amazon Connect CTI Adapter provides a WebRTC browser-based contact control panel (CCP). This is within the Salesforce Lightning, Console, and Classic CRM experience. This CTI integration gives your agents the ability to leverage both inbound caller ID screen pop-ups and outbound click to call/transfer/conferencing. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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December 5, 2023in Salesforce

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