Stilbon

Stilbon

IT 服务与咨询

Redmond,Washington 346 位关注者

Embrace Excellence, Embrace Changes, Embrace Data

关于我们

As a Google Cloud Partner company, we specialize in providing expert cloud consulting and migration services to businesses looking to leverage the power of Google Cloud. Our core focus areas include data management, DevOps, and infrastructure optimization, and we work closely with our clients to tailor solutions that meet their specific needs and goals. Our team of certified Google Cloud experts has extensive experience helping businesses of all sizes migrate their workloads to the cloud, streamline their operations, and unlock new opportunities for growth and innovation. Whether you're looking to migrate legacy systems to the cloud, optimize your infrastructure for maximum performance and cost efficiency, or leverage advanced data analytics tools to gain valuable insights and drive better decision-making, we have the expertise and resources to help you achieve your objectives. At our core, we are passionate about helping businesses harness the full potential of the cloud to achieve greater agility, efficiency, and success in the digital age. Contact us today to learn more about how we can help your organization take its cloud strategy to the next level.

网站
https://www.stilboncloud.com
所属行业
IT 服务与咨询
规模
51-200 人
总部
Redmond,Washington
类型
私人持股
创立
2022
领域
google cloud、big query、data migration、application modernisation、looker studio和consulting

地点

Stilbon员工

动态

  • 查看Stilbon的公司主页,图片

    346 位关注者

    What used to take months can now be done in a Tuesday morning! With Vertex AI Search, building powerful, AI-driven applications has never been easier. You can get started right out of the box, without the lengthy development cycles we once needed. It's a game-changer for teams looking to accelerate innovation and bring ideas to life faster than ever. So, the question is: What will you do with the rest of your week? If you're ready to adopt #TheNewWayToCloud, let’s talk about how we can help you transform your approach to cloud development with Google Cloud's cutting-edge AI tools. #AI #CloudInnovation #VertexAI #AccelerateInnovation #CloudTransformation #DigitalTransformation #TechInnovation Abhishek Pathak Ruchit Janjani

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    346 位关注者

    ?? Exploring the Latest Trends with Gemini: Transforming Business with Innovation ?? The digital landscape is rapidly evolving, and staying ahead requires adopting the latest technologies that can drive growth and efficiency. One of the most exciting trends right now is Gemini—a game-changing platform designed to enhance business operations with cutting-edge AI and data-driven insights. At Stilbon LLC, we are committed to helping businesses navigate this new era of innovation. As experts in implementing Gemini, we work closely with our clients to seamlessly integrate this powerful platform into their existing environments. Our goal? To not only address your current business challenges but to unlock new opportunities for growth and success. Here’s how Stilbon can contribute: *We understand that every business is unique. Our team develops customized strategies to leverage Gemini's capabilities in ways that align with your specific needs and goals. *From planning to execution, we ensure a smooth integration of Gemini into your operations, minimizing disruption and maximizing impact. *Gemini’s advanced analytics empower your business to make informed decisions, optimize processes, and stay ahead of the competition. *Our partnership doesn't end with implementation. We provide continuous support to ensure that your business fully benefits from the power of Gemini. Let’s connect and explore how Stilbon LLC can help your business harness the potential of Gemini to drive innovation and achieve your strategic objectives. hashtag #Gemini #Innovation #BusinessGrowth #AI #DigitalTransformation #Stilbon #CustomerSuccess #GCP

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    346 位关注者

    Unlock the Future with Google Cloud Platform (GCP) and Stilbon The cloud industry is rapidly evolving, and Google Cloud Platform (GCP) continues to set the pace with cutting-edge innovations. At Stilbon LLC, we're proud to be a GCP partner, helping businesses harness these latest trends to drive growth and efficiency. Here's what's trending in GCP and how we can help you leverage these advancements: *Generative AI & Machine Learning *Hybrid and Multi-Cloud Strategies *Serverless Computing *Data Analytics and BigQuery Advancements *Enhanced Security and Compliance *Sustainability Initiatives As a trusted GCP partner, Stilbon LLC is here to help you navigate these trends and fully leverage the power of Google Cloud. Together, we can unlock new possibilities and drive your business forward! Hanane E. Shari Vo Ruchit Janjani #GoogleCloud #GCP #CloudComputing #StilbonLLC #AI #DataAnalytics #Serverless #HybridCloud #Security #Sustainability #TechTrends2024

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    346 位关注者

    Minimize Downtime with Google Cloud: Ensuring Business Continuity In today's digital era, downtime is not just a disruption—it can impact productivity, revenue, and customer trust. With Google Cloud Platform (GCP), businesses gain a powerful ally in minimizing downtime and ensuring continuous operations. Why Choose Google Cloud to Reduce Downtime? *Global Infrastructure *Automatic Failover *Scalability and Elasticity *Built-in Security and Compliance *24/7 Monitoring and Support Empower Your Business with Google Cloud Join leading organizations worldwide who rely on Google Cloud Platform to drive innovation, scalability, and reliability. Experience fewer disruptions and greater peace of mind while focusing on what matters—growing your business. #GoogleCloud #BusinessContinuity #CloudComputing #DigitalTransformation #TechInnovation

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    346 位关注者

    Exciting Developments in the Cloud! As a proud Google Cloud partner, we're thrilled to share some of the latest trends shaping the future of cloud computing: Integrating AI into cloud solutions for smarter automation and predictive analytics. Maximizing flexibility and efficiency with integrated solutions across multiple platforms. Strengthening data protection and compliance through advanced security protocols. Tailoring cloud services to meet the unique needs of various industries, from healthcare to finance. Facilitating global reach and scalability with expanded cloud infrastructure. At Stilbon, we're committed to leveraging these trends to empower businesses with innovative solutions and drive digital transformation. Let's navigate the future of cloud together! #GoogleCloudPartner #CloudComputing #DigitalTransformation #AI #MachineLearning #HybridCloud #Security #Innovation

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    346 位关注者

    ???????????????????? ???????????????????? ???? ?????????????????????? ?????????????????? ???????? ?????????????????? ???? ????????????????: While ?????????????????????? ???????????????????? are robust, but certain challenges can be difficult to address even with advanced automation. Here's a closer look at these unique challenges and how Google BigQuery inherently solves them: ??. ????????-?????????????? ?????? ???????????????????? ? Challenges in traditional warehouses: While they can scale, it requires pre-configured nodes and manual adjustments. Automated scripts can help, but they still involve downtime and complexity. ? Solution in BigQuery: BigQuery natively supports automatic scaling without manual intervention or downtime. It scales compute and storage independently based on demand, ensuring seamless performance during peak loads. ??. ????????-???????? ???????? ?????????????????? ?????? ???????????????? ? Challenges in traditional warehouses: Real-time data ingestion often results in latency due to its batch processing nature. Even with automated scripts, achieving true real-time processing is complex and not always efficient. ? Solution in BigQuery: BigQuery supports real-time data streaming through integrations with Google Cloud Pub/Sub and Dataflow, allowing instant data availability and querying. This is built into the platform, providing native real-time capabilities. ??. ???????????????????? ???? ?????????????? ?????? ?????????????? ? Challenges in traditional warehouses: Architecture ties storage to compute capacity. While automation can help manage this, it doesn't eliminate the cost and complexity of scaling both together. ? Solution in BigQuery: BigQuery architecture separates storage from compute, enabling independent scaling. This design allows for more flexible and cost-effective resource management without the need for complex automation. ??. ???????? ?????????????????????? ???????????????? ? Challenges in traditional warehouses: Limits on concurrent queries, and while automation can help queue and manage queries, high-demand scenarios can still lead to performance bottlenecks. ? Solution in BigQuery: BigQuery is designed to handle high concurrency with its distributed architecture. It can manage thousands of concurrent queries efficiently, making it ideal for high-traffic environments. ?????? ??????????????????: While automation can address many challenges in traditional warehouses, BigQuery offers built-in solutions that simplify these processes and provide inherent advantages: ? Seamless scaling without manual intervention. ? Real-time data processing capabilities. ? Independent scaling of storage and compute. ? High concurrency support natively. ? Fully managed service with automated maintenance. At Stilbon, we help businesses harness the full potential of BigQuery to overcome these unique challenges, ensuring efficient and scalable data operations. #BigQuery #Redshift #DataWarehouse #CloudSolutions #Stilbon

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    346 位关注者

    At Stilbon, we recognize that maintaining data consistency across distributed databases in Cloud can be a significant yet often overlooked challenge. This issue can lead to discrepancies, data loss, and inaccurate analytics, ultimately affecting business decisions and operations. Distributed databases, by their nature, are spread across multiple nodes and locations. This setup is prone to: ? Latency Issues ? Conflict Resolution ? Network Partitions ?????? ???????????????? Stilbon use a multi-faceted approach involving custom synchronization protocols and real-time data validation checks. ? ??????-?????????? ???????????? ????????????????: Ensures atomicity of transactions across multiple nodes by dividing the transaction process into a prepare phase and a commit phase, ensuring all nodes are ready before committing. ? ????????????????-???????? ???????????????????? ???????? ??????????: Utilized for resolving conflicts automatically and consistently without requiring central coordination. ? ???????????? ????????????: Implemented to keep track of the order of operations and detect inconsistencies, enabling us to apply corrective measures swiftly. ? ?????????????????????? ??????????????????????: Periodically validate the state of data across all nodes to ensure they match. Any discrepancies trigger alerts and automatic corrective actions. ? ????????-?????????? ????????????????????: Use cryptographic hashes to compare datasets across nodes efficiently. This method ensures data integrity without the need for extensive data transfer. ? ???????????????? ?????????????????????? ????????????????????: Continuously monitor for eventual consistency, ensuring that all nodes converge to the same state within a defined timeframe. Stay tuned for more details in examples!! #googlecloud #stilbon

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    346 位关注者

    There has been a recent debate about Delta Lake vs. Traditional Data Lakes. Let's try to clarify the concept. ??. ???????? ?????????????????????? ? ?????????????????????? ???????? ??????????: Often struggle with data consistency and reliability due to lack of ACID transactions. Data corruption or loss can occur during concurrent writes. ? ?????????? ????????: Supports ACID transactions, ensuring data reliability and consistency. For example, a large-scale retailer using Delta Lake can handle 10,000 concurrent transactions per second without data loss, ensuring all sales records are accurate. ??. ?????????????????????? ? ?????????????????????? ???????? ??????????: Use formats like CSV or JSON, leading to slower query performance due to lack of indexing and inefficient file formats. ? ?????????? ????????: Utilizes Parquet format with built-in indexing and efficient file pruning. For instance, a marketing firm querying a 1TB dataset can see query times reduced from 15 minutes (CSV) to 2 minutes (Delta Lake). ??. ?????????????? ???????????????????? ? ?????????????????????? ???????? ??????????: May store multiple redundant files due to inefficient data management, leading to increased storage costs. ? ?????????? ????????: Compresses and optimizes storage. For example, a company managing 5TB of data can reduce storage costs by 30% by switching from CSV to Delta Lake. ??. ???????? ???????????????????? ? ?????????????????????? ???????? ??????????: Lack of advanced features like schema evolution and versioning makes data management cumbersome. ? ?????????? ????????: Supports schema evolution and time travel for easy data versioning and rollback. An analytics team can easily roll back to a previous version of a dataset within seconds, enabling faster resolution of data issues. ??. ?????????????????????? ? ?????????????????????? ???????? ??????????: Face performance bottlenecks as data volume grows, requiring more manual tuning and scaling efforts. ? ?????????? ????????: Scales efficiently with growing data volumes due to its optimized architecture. A financial institution can scale from 1TB to 50TB of data without experiencing significant performance degradation. By transitioning to Delta Lake, businesses can achieve enhanced data reliability, faster query performance, lower storage costs, and improved scalability, making it a superior choice over traditional data lakes. #DataEngineering #DeltaLake #Innovation #GCP #Stilbon

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