Jen McCready’s Post

🚀 Navigating Salesforce Bulk API Limits with Smart Strategies 🚀 Working with large datasets in Salesforce? Hitting Bulk API limits can be a common challenge, but it’s not an insurmountable one. With some thoughtful strategies, you can keep your data operations smooth and efficient. Here’s what works: 1️⃣ Data Slicing: Break your data into smaller chunks and process them over time to avoid exceeding daily limits. 2️⃣ ETL Tools: Leverage tools to automate data slicing and streamline imports. 3️⃣ Monitor Usage: Keep a close eye on API usage to ensure compliance with limits. 4️⃣ Optimize Operations: Refine your data handling to reduce batch and record counts. These best practices are descibed in the insightful post by Dorian S. published on Salesforce Ben #Salesforce #BulkAPI #DataManagement #CRM #TechTips

What would a combined portfolio of #Salesforce and #Informatica look like for customers or consultants architecting solutions? Sometimes, one's mind doesn't stop processing a particular topic. So I wrote... to share and to get your perspectives.

Salesforce limits can often slow down data management for large companies. So what should you do when you need to deal with more data than allowed? Dorian discusses strategies for mastering Salesforce data management, from leveraging Bulk API and Bulk API 2.0 to exploring innovative tools like Sliced Bread. https://bit.ly/3Z52bWJ #Salesforce

In today’s data-centric world, seamless integration is key to unlocking the full potential of customer data. Whether you prefer enterprise solutions or modern platforms there's a solution tailored to your needs .Consider your use cases, timelines, resources, and budget constraints wisely for a seamless Salesforce integration journey. What tools are you using or prefer for Salesforce data integration? Share your insights! #Salesforce #DataIntegration #Technology #BusinessSolutions #DigitalTransformation #data

Big news! You may ask why this matters so much. Well it’s big because this will enable you to not only see and visualize data that exists outside of #Salesforce but also utilize it for interaction and automations all while it stays in your downstream systems. This will majorly reduce the need for custom data models and build management within CRM to just house data that belongs in an external system. This will help truly position #CRM as your platform of engagement and enable a true customer 360 while reducing complex data management operations and movement overhead. This is big! #Salesforce #Customer360 #Data

Issue with Fetching Text Area Field Value Using get All Method in Salesforce If you're experiencing issues while fetching text area field values using the `getAll` method for custom metadata in Salesforce, you're not alone. Here’s a quick overview of what might be happening and how to address it. ####Problem: When using the `getAll` method to retrieve custom metadata, you might find that text area fields (long text fields) are not being fetched or displayed correctly. ➡ Key Points: 1. **Text Area Fields**: These fields can store large amounts of text, and there might be limitations or issues when retrieving them via the `getAll` method. 2. **getAll Method**: This method is designed for efficiency and retrieves all records of a custom metadata type from the cache, but it might not handle text area fields as expected. ➡ Possible Solutions: 1. **Verify Data Integrity**: Ensure that the text area fields contain data within the allowed limits and that there are no special characters causing issues. 2. **Use SOQL**: As an alternative, use SOQL to fetch the custom metadata records. SOQL provides more control and might handle text area fields better. If `getAll` is not working as expected for text area fields, switching to a SOQL query might be a more reliable solution. This approach provides greater flexibility and ensures you can fetch and work with the data effectively. #Salesforce #CustomMetadata #Apex #SOQL #SalesforceDevelopment #Troubleshooting CloudColon - Salesforce Consulting Partner | SWAPNIL MESHRAM

Unlocking the Salesforce Symphony: Demystifying Data vs Metadata 🎵 Dive into the rhythm of CRM precision! Learn how to harmonize your data and metadata for optimal performance. 🚀 Blog - https://lnkd.in/dSzNmgS5 Contact us for More Information - [email protected] #SalesforceSolutions #DataManagement #MetadataMagic #CRMExcellence

🚀 Ever wondered about the Set Batch Size in Data Loader in Salesforce? Let’s dive in! Batch size is crucial in data loading processes, impacting performance and efficiency. Here’s what you need to know: 📊 Definition: Batch size determines the number of records processed per batch. ⚙️ Why it matters: Balances speed and system resource usage. 💡 Optimal settings: Adjust based on data complexity and org’s limits. 📈 Performance boost: Smaller batches = more control; larger batches = faster processing. Mastering batch size can streamline your data operations and enhance performance. How do you set your batch size for optimal results? Share your tips below!👇 https://lnkd.in/gYe5dkzb Fell Free to #Like #Share #Comment #Salesforce #DataLoader #CRM #DataManagement #TechTips #BusinessEfficiency #CloudComputing #SalesforceAdmin #TechCommunity #DataOptimization #SalesforceAdmin #Salesforcedeveloper #Salesforce #B2B

Discover the latest integration strategies for bridging Salesforce Data Cloud with Snowflake to enhance your data warehousing capabilities. This article breaks down the process into manageable steps, ensuring that you can effectively synchronize and analyze your Salesforce data within Snowflake. 1. **Initiation and Setup** - Establish a Salesforce Connect data source. - Utilize External Data API settings to prepare for integration. - Ensure your Snowflake account is ready to receive data. 2. **Configuration of Salesforce Connect** - Configure External Objects to map Salesforce data with Snowflake. - Set up the External Data Source with the correct Snowflake credentials. - Use the Salesforce Schema Builder for visualizing and planning the integration structure. 3. **Implementation of Data Sharing** - Implement OAuth for secure data sharing between Salesforce and Snowflake. - Create and assign permission sets to regulate data access levels. - Use Salesforce's OData 4.0 support for smooth data sharing processes. 4. **Optimizing Performance** - Leverage Snowflake's computing power for handling complex queries. - Apply best practices for indexing to enhance data retrieval efficiency. - Monitor and adjust Salesforce External Object settings for optimal performance. 5. **Maintaining the Integration** - Regularly audit the integration for security and compliance adherence. - Keep track of updates from both Salesforce and Snowflake to maintain compatibility. - Schedule periodic reviews to assess the integration's performance and make necessary adjustments. Stay ahead in the game by integrating Salesforce Data Cloud with Snowflake, unlocking the full potential of your datasets for in-depth analysis and informed decision-making.  🔗 Link in 1st comment 🔗 Article from developer(dot)salesforce(dot)com #Salesforce #Digitaltransformation #Awesomeadmin #AlexandreSFDC 💡 Follow me here on Linkedin for more Salesforce, Pardot and Marketing Cloud news/tips 🔔 Turn ON the bell notification in my profile

#Salesforce in Talks to Acquire #Informatica - Can not agree more to the #SalesforceBen article: “AI + CRM + Data” is the Salesforce Slogan of the year - you need a tool that is capable to do heavy data loads from one system to the other. The ETL capability would supplement the Salesforce product portfolio in a great way and speed up the growth and adoption of AI in the CRM ecosystem. Migration and integration in enterprise projects is most time consuming and complex. With #MuleSoft as an integration platform, Salesforce has already a game changer in the world of API`s, but MuleSoft is not designed to process massive amounts of data. Also, Data Loader is not suitable for huge enterprise migration projects as it is only providing some basic import/export/delete functionalities. I`m very curious and excited to see how this topic will evolve short and mid-term. https://lnkd.in/ee5KjeW4