Salesforce Snowflake - gettectonic.com
Snowflake With AWS Salesforce and Microsoft

Snowflake With AWS Salesforce and Microsoft

In anticipation of its sixth annual user conference, Snowflake Summit 2024, Snowflake has unveiled the Polaris Catalog, a vendor-neutral, open catalog implementation for Apache Iceberg. This open standard is widely used for implementing data lakehouses, data lakes, and other data architectures. Snowflake With AWS Salesforce and Microsoft. The Polaris Catalog will be open-sourced for the next 90 days, offering enterprises like Goldman Sachs and the Iceberg community increased choice, flexibility, and control over their data. It also promises comprehensive enterprise security and compatibility with Apache Iceberg, enabling interoperability with AWS, Confluent, Dremio, Google Cloud, Microsoft Azure, Salesforce, and more. “We are collaborating with numerous industry partners to provide our mutual customers the ability to mix and match various query engines and coordinate read and write operations without vendor lock-in, and most importantly, to do so in an open manner.” Christian Kleinerman, Snowflake’s EVP of Product Kleinerman further highlighted that this initiative can “simplify how organizations access their data across diverse systems, enhancing flexibility and control.” Apache Iceberg, which became a top-level Apache Software Foundation project in May 2020 after emerging from incubation, has quickly become a leading open-source data table format. Building on this success, Polaris Catalog offers users a centralized location for any engine to discover and access an organization’s Iceberg tables with open interoperability. To ensure Polaris Catalog meets the evolving needs of the community, Snowflake is collaborating with the Iceberg ecosystem to advance the project. Chris Grusz, MD of technology partnerships at AWS, noted AWS’s commitment to working with partners on open-source solutions that enhance customer choice: “We’re pleased to work with Snowflake to continue to make Apache Iceberg interoperable across our engines.” Similarly, Raveendrnathan Loganathan, EVP of software engineering at Salesforce, mentioned that Apache Iceberg’s popularity has established an open storage standard simplifying zero-copy data access for organizations. “We’re thrilled to have Snowflake as a member of our Zero Copy Partner Network, and we’re excited about how this new open catalog standard will further zero-copy access in the enterprise,” he said. This development follows the recent expansion of the partnership between Snowflake and Microsoft, supporting leading open standards for storage formats, including Apache Iceberg and Apache Parquet. With Polaris Catalog, they aim to continue their mission of enabling users to leverage their enterprise data, regardless of its location, to develop AI-powered applications at scale. 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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Zero Copy from Salesforce

Zero Copy from Salesforce

When was the last time you relocated? Remember the hassle of packing up all your stuff, loading it onto a truck, and unpacking everything at your new digs, hoping it all survived the journey? Now, imagine if your furniture and possessions could simply teleport to your new location in perfect condition. While this may not be possible (yet) in the physical world, the concept of zero copy integration offers a similar seamless experience for handling customer data. Zero Copy from Salesforce. Zero copy integration, also known as zero ETL (extract-transform-load), allows data to be shared among multiple data stores without the need for actual movement or duplication. This is particularly advantageous for companies utilizing cloud data warehouses like Snowflake or Google BigQuery. Some companies hesitate to adopt a customer data platform (CDP) due to concerns about duplicating data. However, with zero copy integration, users can leverage the benefits of a CDP—such as data harmonization, identity management, built-in analytics, and activation—without the drawbacks of physical data movement. Some functions related to data have advanced with astonishing speed: generation, dissemination, storage, even security (and yes, that one still has many challenges). But there are others still mired in the stone age—call it the 80s—of the digital era. For example, think copies. How many business professionals still make multiple copies of sensitive data, just as it’s been done for the last four decades? What does this endless duplication do for regulatory risk, security threats and privacy liabilities? This is a symptom of a larger problem: Far from the data-centric universe we all envisioned, we’re beholden instead to the apps used to create, store, and distribute data. There’s an app for everything, but also a database for every app, leading to dozens of data silos undergoing hundreds of integrations, increasing fragmentation, complexity, and costs. The basic idea, according to Dan DeMers, Cinchy’s CEO, is that the framework aims to remove application data silos by using access-based data collaboration versus standard API-base data integration that involves copying data and branding it with complex app-specific coding. This would be done by access controls set in the data layer. It would also involve: What is Zero Copy Integration? Zero copy integration enables access to data stored in multiple databases simultaneously without the need to move, copy, or reformat the data. This approach not only facilitates faster and easier access to data but also reduces costs and minimizes the risk of errors associated with data movement or transformation. Comparing Traditional Methods with Zero Copy Integration: Traditional Methods: Zero Copy Integration: How It Works: From CDP to Data Warehouse In this scenario, data is accessed from the CDP and shared with the data warehouse, a process known as data sharing. The steps typically involve: How It Works: From Data Warehouse to CDP Conversely, in this scenario, data is accessed from the data warehouse and integrated into the CDP, a process referred to as data federation. The steps typically involve: Real-World Application: How Buyers Edge Utilizes Zero Copy Technology Buyers Edge, a leading procurement optimization company in the food service industry, leverages zero copy technology to access purchase data stored in a data warehouse while building a unified customer profile in a CDP. This allows them to provide better customer insights to their sales and marketing teams. By eliminating the need for data movement, duplication, or reformatting, zero copy technology streamlines data access, harmonizes data for insights and analytics, and provides a real-time holistic view of customers. As data volumes continue to grow exponentially, technologies like zero copy integration will play a crucial role in simplifying data management and facilitating seamless access to valuable insights. Whether it’s optimizing business processes or enhancing customer experiences, zero copy integration empowers organizations to navigate the data landscape with agility and efficiency. Be a zero copy hero and unlock the full potential of your data management strategy. “In today’s digital landscape, companies struggle with islands of data spread across various systems. With this global ecosystem of partners, companies can access all of their data, no matter where it resides, and unlock the power of all of that data within Salesforce — creating more personalized customer interactions and establishing a foundation for trusted AI, in less time and at lower cost.” Brian Millham, President and Chief Operating Officer at Salesforce The Zero Copy Partner Network features initial partners Amazon Web Services (AWS), Databricks, Google Cloud, and Snowflake, and adds Microsoft, all committed to zero copy integrations with Salesforce that give customers a secure and cost-effective way to connect and take action on all of their data New zero copy support for data warehouses and data lakehouses built on open table formats, like Apache Iceberg, with Salesforce Data Cloud, removes the need to copy or move data, so customers can unlock their data, powering Customer 360 experiences with AI, automation, and analytics The network includes Salesforce ISV partners, building new Zero Copy Data Kits to bring valuable new datasets to Salesforce Data Cloud, and Salesforce SI partners including Accenture, Cognizant, Deloitte Digital, and PwC, helping customers with zero copy Salesforce Data Cloud implementations. 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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Data Cloud and Snowflake Bidrectional Data Sharing

Data Cloud and Snowflake Bidrectional Data Sharing

Salesforce Data Cloud and Snowflake are excited to announce that bidirectional data sharing between Snowflake, the Data Cloud company, and Salesforce Data Cloud is now generally available. In September, we introduced the ability for organizations to leverage Salesforce data directly in Snowflake via zero-ETL data sharing, enabling unified customer and business data, accelerating decision-making, and streamlining business processes. Today, we’re thrilled to share that customers can now also share Snowflake data into the Salesforce Data Cloud, using the same zero-ETL innovation to reduce friction and quickly surface powerful insights across sales, service, marketing, and commerce applications. Data Cloud and Snowflake Bidrectional Data Sharing. Data Cloud and Snowflake Bidrectional Data Sharing Enterprises generate valuable customer data within Salesforce applications, while increasingly relying on Snowflake as their preferred data platform for storing, modeling, and analyzing their full data estate. This integration between Salesforce and Snowflake minimizes friction, data latency, scale limitations, and data engineering costs associated with using these two leading platforms. The Snowflake Marketplace also offers customers the opportunity to acquire new data sets to enhance or fill gaps in their existing business data, driving innovation. By combining enterprise data and third-party data from Snowflake Marketplace with valuable customer data from Salesforce applications, organizations can unify their data and build powerful AI solutions to surface rich insights, driving superior and differentiated customer experiences. “Zero-ETL data sharing between Salesforce Data Cloud and Snowflake is game-changing. It has opened up new frontiers of data collaboration. We’re excited to see how customers are powering their customer data analytics and developing innovative AI solutions with near real-time data from Salesforce and Snowflake, generating incredible business value. Now that this integration is generally available, this kind of innovation will be broadly accessible,” says Christian Kleinerman, SVP of Product, Snowflake. Power Personalized Experiences with Salesforce and Snowflake Data sharing between Salesforce Data Cloud and Snowflake brings together holistic insights, empowering multiple customer-facing departments within any organization to create a truly robust customer 360. As Snowflake’s Chief Marketing Officer, Denise Persson, often states, a true, enterprise-wide customer 360 is the beating heart of a modern, customer-facing organization. The applicability of this integration spans various industries and unlocks new growth opportunities. For example: The bidirectional integration enables data sharing across business systems, Salesforce clouds, and operational systems, facilitating data set analysis and future action planning. This brings actionable insights and drives actions, unleashing a new level of customer experience and business productivity. 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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Salesforce Data Cloud

Salesforce Data Cloud vs Snowflake

A Comprehensive Comparison In the today’s data-driven world, businesses increasingly turn to cloud-based data platforms for managing, analyzing, and deriving insights from their customer data. Among the prominent options available, Salesforce Data Cloud and Snowflake stand out from the crowd. While both platforms offer robust capabilities, they exhibit distinct strengths and weaknesses. This insight looks into the comparison of Salesforce Data Cloud vs Snowflake. Salesforce Data Cloud: Salesforce Data Cloud is a hyperscale customer data platform (CDP) designed to help businesses consolidate all their customer data, including engagement data sourced externally. It establishes a unified view of the customer, empowering businesses to personalize experiences, enhance decision-making, and foster growth. Snowflake: Snowflake is a cloud-based data warehousing platform that facilitates the storage, analysis, and sharing of data for businesses. It encompasses a wide array of features, including an awesome SQL engine, elastic scalability, and compatibility with various data sources. Salesforce Data Cloud vs Snowflake Feature Salesforce Data Cloud Snowflake Focus Customer data General data Strengths Data enrichment, personalization, real-time updates Scalability, analytics, SQL support Weaknesses Less flexible than Snowflake, limited analytics capabilities Not as user-friendly as Salesforce Data Cloud Pricing Based on data volume Based on usage The ideal platform for you will be contingent on your specific needs and requirements. If your primary focus is on managing customer data and enhancing customer engagement, Salesforce Data Cloud proves to be a suitable option. On the other hand, if you require a more versatile data platform capable of handling a broad range of data types and workloads, Snowflake emerges as a better choice. Additional considerations include: Ultimately, the most effective way to determine the right platform for you is to experiment with both and assess which one aligns better with your preferences. Contact Tectonic today to explore Data Cloud and Snowflake for your data needs. Like2 Related Posts Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more 50 Advantages of Salesforce Sales Cloud According to the Salesforce 2017 State of Service report, 85% of executives with service oversight identify customer service as a Read more CRM Cloud Salesforce What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more

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Salesforce Data Cloud

Salesforce Data Cloud Evolution

Data Cloud stands as the fastest-growing organically built product in Salesforce’s history, signifying a significant milestone in solving the enduring data problem within Customer Relationship Management (CRM). Salesforce Data Cloud Evolution since its beginnings is an interesting story. With an average of 928 systems per company, identity resolution becomes challenging, especially when managing more than one system. Salesforce’s expansion into AI-powered CRM emphasizes the synergy between AI and data, recognizing that AI’s optimal functionality requires robust data support. Data Cloud acts as the foundation accelerating connectivity across different ‘clouds’ within the Salesforce platform. While it’s available for purchase, even Salesforce customers without licensed Data Cloud still benefit from its foundational advantages, with increased strength when utilized as a personalization and data unification platform. The history of Data Cloud reflects its evolution through various iterations, from Customer 360 Audiences to Salesforce Genie, ultimately settling as Data Cloud in 2023. This journey marked significant developments, expanding from a marketer’s tool to catering for sales, service, and diverse use cases across the Salesforce platform. Data harmonization with Data Cloud simplifies the complex process, requiring fewer efforts compared to traditional methods. It comes pre-wired to Salesforce objects, reducing the need for extensive data modeling and integration steps. The technical capability map showcases a comprehensive integration of various technologies, making Data Cloud versatile and adaptable. Data Cloud’s differentiators include being pre-wired to Salesforce objects, industry-specific data models, prompt engineering capabilities, and the inclusion of the Einstein Trust Layer, addressing concerns related to generative AI adoption. Looking ahead, Data Cloud continues to evolve with constant innovation and features in Salesforce’s major releases. The introduction of Data Cloud for Industries, starting with Health Cloud, signifies ongoing enhancements to cater to industry-specific needs. Closing the skills gap is crucial for effective Data Cloud implementation, requiring a blend of developer skills, data management expertise, business analyst skills, and proficiency in prompt engineering. Salesforce envisions Data Cloud, combined with CRM and AI, as the next generation of customer relationship management, emphasizing the importance of sound data and skillful implementation. Data Cloud represents the ‘Holy Grail of CRM,’ offering a solution to the long-standing data challenges in CRM. However, its success as an investment depends on the organization’s readiness to demonstrate return on investment (ROI) through solid use cases, ensuring unified customer profiles and reaping the rewards of this transformative technology. FAQ When did Salesforce introduce data cloud? Customer 360 Audiences: Salesforce’s initial CDP offering, launched in 2020. Salesforce CDP: The name changed in 2021 to align with how the blooming CDP market was referring to this technology. Does Salesforce data cloud compete with Snowflake? They offer distinct capabilities and cater to diverse business needs. Salesforce Data Cloud specializes in data enrichment, personalization, and real-time updates, while Snowflake boasts scalable data warehousing and powerful analytics capabilities. What is the data cloud in Salesforce? Deeply integrated into the Einstein 1 Platform, Data Cloud makes all your data natively available across all Salesforce applications — Sales Cloud, Service Cloud, Marketing Cloud, Commerce Cloud, Tableau, and MuleSoft — to power automation and business processes and inform AI. Is Salesforce Genie now data cloud? Announced at Dreamforce ’22, Salesforce Genie was declared the greatest Salesforce innovation in the company’s history. Now known as Data Cloud, it ingests and stores real-time data streams at massive scale, and combines it with Salesforce data. This paves the way for highly personalized customer experiences Like1 Related Posts Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more CRM Cloud Salesforce What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to Read more Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more Salesforce Government Cloud: Ensuring Compliance and Security Salesforce Government Cloud public sector solutions offer dedicated instances known as Government Cloud Plus and Government Cloud Plus – Defense. Read more

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Cloud Based Business Solutions

AI Fundamental Role in the Future of Business

AI is not a novel concept, but its pivotal role in shaping the future of business is rapidly emerging. Particularly, generative AI stands out as a transformative advancement with far-reaching implications for our lives and enterprises. However, merely investing in the technical capabilities of AI is insufficient. For AI Fundamental Role in the Future of Business to come to fruition, skills have to be learned. Road maps must be developed. Organizations need to prioritize building a comprehensive and reliable data foundation to guide decision-making and strategy development.  Training or employing new talent to work in this field is already competitive. Generative AI and large language models (LLMs) are poised to redefine how we live, work, and conduct business. Experts from Snowflake share insights into navigating the opportunities and uncertainties associated with these technologies, including their impact on various aspects: Engaging Partners: Transforming the Enterprise: AI Impact on Various Aspects: AI Fundamental Role in the Future of Business Furthermore, the report emphasizes the crucial role of a robust data strategy, the importance of cybersecurity in the generative AI era, and the potential for AI to significantly impact global GDP. Goldman Sachs Research predicts that breakthroughs in generative AI could boost global GDP by 7% and increase productivity growth by 1.5 percentage points over a decade. Investors are advised to focus on industries such as semiconductor manufacturing, digitalization, and healthcare, given the growing influence of AI. However, discernment is crucial, and the report highlights the need for efficient implementation, identifying specific use cases for AI, and leveraging new AI techniques for informed investment decisions. AI, with its capacity to process vast amounts of information quickly and accurately, is anticipated to play a pivotal role in supporting investors in making more informed decisions and extracting valuable insights from data. Like Related Posts Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more Salesforce Data Studio Data Studio Overview Salesforce Data Studio is Salesforce’s premier solution for audience discovery, data acquisition, and data provisioning, offering access Read more

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Salesforce and Snowflake

What Makes Snowflake So Popular?

Why opt for Snowflake over its competitors? What Makes Snowflake So Popular? One of Snowflake’s standout features is its multi-cloud capability, being accessible on major cloud platforms like Azure, AWS, and GCP. This is particularly advantageous for companies operating in multi-cloud environments, as they can seamlessly query Snowflake data from any of these platforms. Snowflake distinguishes itself as a true self-managed service, eliminating the need for users to handle hardware selection, installation, configuration, or management. Moreover, there is minimal software involvement, with ongoing maintenance, management, upgrades, and tuning efficiently managed by Snowflake. If your scaling requirements are primarily related to data warehousing, Snowflake’s data-centric scalability makes it a preferred choice. On the other hand, AWS might be more suitable for general infrastructure scalability across diverse cloud infrastructure components. Organizations opt for Snowflake’s cloud-built data warehouse to achieve significant benefits. These include reducing query times from hours to seconds, providing universal access to all business users, handling structured and semi-structured data swiftly, and doing so more cost-effectively compared to other data analytics platforms. Snowflake’s storage and compute separation enables seamless sharing of live data across business units, eliminating the need for data marts or maintaining multiple data copies. The flexibility to scale virtual warehouses based on specific needs, without concerns about underlying hardware, sets Snowflake apart. Additionally, its pricing model and central data repository contribute to enhanced flexibility, scalability, and cost-effectiveness. Furthermore, Snowflake allows users to share data with partners and customers, irrespective of region or cloud, fostering collaboration on a global scale. If you would like learn more about Snowflake cloud-build data warehouse, contact Tectonic today. 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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Snowflake Database

Snowflake Database

What is Snowflake Database? Snowflake Database serves as the repository for an organization’s structured and semi-structured data sets, facilitating processing and analysis. It offers automated management of various aspects of data storage, including organization, structure, metadata, file size, compression, and statistics. Snowflake: The Global Data Cloud Platform Snowflake stands as a unified global platform powering the Data Cloud, connecting businesses worldwide across diverse data types, scales, and workloads, fostering seamless data collaboration. Understanding Snowflake Database Snowflake, a relational database hosted in the cloud, serves as a data warehousing solution. Leveraging infrastructure from Google Cloud Platform, Azure, and AWS, it combines traditional database features with innovative functionalities. Snowflake: More Than Just a Data Warehouse Snowflake’s Data Cloud encompasses a pure cloud-based SQL data warehouse, uniquely engineered to handle all data and analytics aspects. It offers high performance, concurrency, simplicity, and affordability unmatched by other data warehousing solutions. Snowflake Database’s Role in ETL Processes Snowflake streamlines data loading, transformation, and storage, eliminating the need for additional ETL tools. Its unique features, scalability, and security have led many organizations worldwide to adopt it as their primary Data Warehousing solution. Snowflake’s Integration with SQL and Python Built on a new SQL database engine, Snowflake’s data warehouse architecture is tailored for the cloud. Moreover, Snowflake provides first-class Python APIs for managing core resources, enabling seamless integration without SQL queries. Challenges and Advantages of Snowflake Despite its advantages such as scalability, performance tuning, and data security, Snowflake faces challenges like higher costs and limited support for unstructured data. Snowflake’s Position in Comparison to Other Databases Snowflake offers faster, easier-to-use, and more flexible data storage and analytic solutions compared to traditional offerings. It is not built on existing database technology or big data software platforms like Hadoop. Ownership and Integration Snowflake operates on major public clouds like AWS, Azure, and GCP, offering pre-warmed virtual machines to support rapid compute. Salesforce had a stake in Snowflake but sold its holdings, making Snowflake an independent entity. Snowflake vs. Salesforce: Choosing the Right Solution Snowflake is preferable for businesses requiring a versatile data platform, whereas Salesforce Data Cloud suits organizations already using Salesforce products due to its seamless integration. Some companies utilize both platforms for diverse 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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Snowflake and Salesforce Marketing Cloud

Snowflake and Salesforce Marketing Cloud

Harnessing the Power of Salesforce Marketing Cloud and Snowflake Two of the most influential trends in marketing technology (MarTech) and analytics today are Salesforce’s Marketing Cloud (SFMC) and Snowflake’s data warehousing platform. SFMC offers marketers a robust Journey Builder experience, while Snowflake eliminates data silos, making more data accessible to analysts than ever before. Both platforms are next-generation, cloud-first solutions that open new possibilities for marketers and are already helping to create more compelling and relevant experiences for consumers. A shared commitment to simplifying the end-user experience while unlocking a vast array of new data capabilities makes these solutions powerful examples of “soft technology.” Soft Technology: Snowflake and SFMC “When I speak about the power and virtues of technology, I am referring to soft technology: technology that is flexible, that is under our control.” — Don Norman What makes a technology great is its ease and flexibility for end users. Both SFMC and Snowflake simplify the user experience for their target users with remarkable results. SFMC’s Journey Builder allows marketers to build sophisticated journey orchestration flows on a canvas similar to how they might draft a journey on a whiteboard. Once configured, there’s no need to call IT for support; it’s time for delivery. Snowflake targets analysts, data engineers, and data scientists, breaking down data silos and removing traditional storage and processing constraints. This allows them to focus on solving business problems rather than dealing with perpetual data consolidation and cleansing. Snowflake also simplifies working with different types of data, such as unstructured data like logs or customer activity signals, through its “variant” datatype. The Perils of “Hard Technology” for SFMC Users “Hard technology remains unheedful of the real needs and desires of users. It is a technology that, rather than conforming to our needs, forces us to conform to its needs. Hard technology makes us subservient;” — Don Norman SFMC’s Journey Builder users are most productive when their source data is well-prepared for marketing purposes. However, as marketing needs evolve, new customer profile data and segments are required, often necessitating IT intervention and the use of complex SQL queries or programming languages. An inefficient process often emerges: This lengthy process can slow down time-to-market for campaigns and hinder marketing agility. Bridging Snowflake and SFMC to Avoid Hard Technology Low-code and visual SQL tools allow campaign analysts to remain business-focused and meet most of their daily data needs without relying heavily on IT. These tools are now more powerful thanks to modern data warehousing platforms like Snowflake, which supports SQL-like querying of unstructured data directly. Low-code solutions help marketers maintain productivity within SFMC’s Journey Builder by enabling them to autonomously explore and retrieve new customer data and segments. Checklist for Low-Code & Visual SQL Tools For maximum impact, look for low-code and visual SQL tools that: Simplifying Data Integration with Skyvia, Integrate.io, and GetCensus Skyvia Skyvia allows you to replicate Salesforce Marketing Cloud data to Snowflake with minimal configuration. It creates tables for cloud data automatically and keeps the data updated with incremental updates. Integrate.io Integrate.io provides a lightning-fast CDC platform for Salesforce data integration, offering robust ETL and ELT capabilities to connect your Salesforce data with hundreds of other apps. Integrate.io’s low-code interface allows for easy configuration and seamless data migration. GetCensus GetCensus enables data synchronization between Snowflake and Salesforce Marketing Cloud in four simple steps: By leveraging these tools and platforms, marketers can enhance their campaigns and improve customer experiences through efficient and effective data integration and management. Like1 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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Snowflake and Salesforce with Embed

Snowflake and Salesforce with Embed

Snowflake has deepened its partnership with investor Salesforce by introducing two tools that seamlessly connect their cloud-native systems. Snowflake and Salesforce with Embed. These integrations empower customers to export Salesforce data to Snowflake and analyze it using Salesforce’s Einstein Analytics and Tableau applications. The overarching goal is to provide enterprises with a unified repository for all their data. Snowflake and Salesforce with Embed The first tool, Einstein Analytics Output Connector for Snowflake, allows customers to transfer their Salesforce data into the Snowflake data warehouse, integrating it with data from other sources. This enables joint customers to consolidate all their Salesforce data within Snowflake. Automated data import ensures that the Snowflake copy remains up-to-date. The second tool, Einstein Analytics Direct Data for Snowflake, enables users to execute queries within their Snowflake Salesforce repository. These queries can also include data from other sources such as business applications, mobile apps, web activity, IoT devices, and datasets obtained through the Snowflake Data Marketplace and Private Data Exchange. The Einstein Analytics Output Connector for Snowflake is set to become available to customers later this year, while Einstein Analytics Direct Data for Snowflake is currently in open beta and is expected to be generally available later this year. Salesforce’s substantial investment in Snowflake, as a co-lead investor in its recent $479 million funding round, underscores its vested interest in Snowflake’s success. This deepened partnership between Snowflake and Salesforce highlights their commitment to providing innovative solutions that empower enterprises to harness the full potential of their data. Like1 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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