Data Solution 360

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Flexibilityscalability, and un-compromised quality set our technology-based solutions apart from the rest. Count on our easy-to-use technology to launch your measurement strategies with dependable accuracy.

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Shakudo is the fastest/easiest way to build, deploy and manage a best-in-class enterprise caliber data stack. It unites the most widely used data, AI/ML tools and scaling frameworks like DBT, Airflow, Superset, Spark, Ray, Dask and recent tooling in generative AI such as LangChain, ChromaDB, Milvus and leading LLMs into a single platform! And it does so with scalability, compatibility and robustness without an army of data engineers.

They provide the flexibility to choose the right data tools while solving the compatibility challenges that all too often arise when different teams within an organization try to create their own data stack (e.g., marketing and sales building one custom data stack vs the data stack for the core services). The beauty of Shakudo lies in the fact that a data stack is not a static piece of technology encased in glass but rather a living and evolving system that can be modified or added based on an enterprise's requirement.

The Streaming Data Solution for Amazon Kinesis comes with four deployment options and their accompanying AWS CloudFormation templates that are configured to apply best practices for streaming data, including data monitoring through dashboards and alarms, as well as data security.

Streaming data must be durably captured by massively scalable storage that is capable of handling high data volume from data producers. A producer can be thousands of data sources, each generating streaming data continuously and which typically submits records simultaneously and in small sizes (kilobytes). This AWS Solution helps you manage, secure, and store a wide variety of streaming data, such as log files generated by your customers using mobile or web applications. It also supports streaming data from ecommerce purchases, in-game player activity, information from social networks, financial trading floors, or geospatial services and telemetry from connected devices or instrumentation in data centers.

Step 2

Amazon Kinesis Data Firehose buffers the data before delivering the output to an S3 bucket. It is a fully managed service that automatically scales to match the throughput of your data and requires no ongoing administration.

This post outlines the architecture to achieve real-time inference on streaming data using various AWS Services. It also covers the integration of Amazon Managed Service for Apache Flink to asynchronously invoke underlying services or databases.

Today, your success in energy relies on data. Are you ready?The Enterprise Data Solution unifies your data from subsurface to operations. It gives you everything you need to make data accessible to your users on an unprecedented scale.

By unifying your E&P data in an open data ecosystem you can optimize data management infrastructure and efficiency. This will enable you to streamline operations, reduce costs, and build a foundation to empower your workforce and facilitate future innovation.

The volume of data available to you today is greater than ever, and still growing. Seize its potential and manage your data more effectively with our reliable, hyper-scalable solution, easily integrating with your existing digital infrastructure.

Liberate data flowWith the Enterprise Data Solution you can connect to domain applications on the Delfi digital platform. Interoperability of data, and flow between applications is enabled with our open application ecosystem.

Explore our domain solutions

"PETRONAS has liberated petabytes of E&P data for users, integrating 12 corporate data stores to a single data platform and improving data management efficiency and optimizing infrastructure.

"The scalalbility, elasticity, and flexibility of Azure and Microsoft Energy Data Services provide us with an ideal foundation for implementing the OSDU Data Platform in a way we wouldn't have been able to do on-premises...

Your organization is already using the cloud for production or productivity applications. Extend the benefits of cloud to your data protection environment and further eliminate the need for hardware, software and maintenance.

Discover how our real estate data is driving innovation across multiple industries with the most comprehensive property data on the market. ATTOM is your trusted property data provider, giving you that competitive edge while delivering outstanding results.

Listen in as Mike Simonsen, Founder and President of Altos Research, Daren Blomquist, VP of Market Economics at Auction.com, and Jennifer von Pohlmann, Sr. Director of PR and Content at ATTOM offer a comprehensive analysis of the current housing market, provide an overview of economic conditions, share detailed insights on the distressed market, and explore the latest data on sales prices, inventory, home affordability, supply and demand, and more.

The DSB will not only expand business in the healthcare domain in which OMRON thus far has collaborated with JMDC, but also identify opportunities for data solution business in other domains, such as industrial automation and social solution domains, and establish specialized organizations to advance their business development and market implementation, to ultimately help solve social challenges through data solutions.

About OMRON Corporation

OMRON Corporation is a leading automation company with core competencies in its proprietary Sensing & Control + Think technology and is engaged in a wide range of businesses, including industrial automation, healthcare, social systems, and device & module solutions. Established in 1933, OMRON has about 30,000 employees worldwide, working to provide products and services in more than 130 countries. For more information, please visit

Our initial set of Data Solutions are aligned to the three high-growth verticals of Transportation, Water and National Security (with additional verticals to be explored in future phases). A common competitive differentiation of our vertical software platforms is access and integration of unique data sets and the ability turn that data into actionable outcomes for our customers.

The Focus Data Solutions team has been my trusted partner as my law firm has grown over the past twenty years. I have had no reason to consider any other IT companies. They have consistently provided solid advice and technological expertise as the demands and needs of our systems have increased. Their responsiveness to our calls regarding hardware or software, combined with the ability to quickly figure out the issue and get it resolved is invaluable. This has been especially so as much of our staff now works remotely due to the COVID-19 pandemic.

Focus Data Solutions has made the effort to know our business, as opposed to other companies that just want to sell us stuff. I know if something goes wrong, Focus Data Solutions has our back and will get us up and running as quickly as possible. Get off the fence and sign with Focus Data solutions. I believe Focus Data Solutions will partner with you for the best outcome.

The biggest benefit of choosing Focus Data Solutions as our Managed Service partner has been the confidence that they provide us in our ability to comply with best practices and ever-increasing data security requirements. Not to mention the additional visibility they give us when it comes to our IT equipment and support issues. Focus Data Solutions is more proactive than any other IT firm that I have worked with in the past. I would recommend them to any company looking for an IT firm, especially if their goals are centered around growth and an evolving long-term partnership with their IT Service provider.

Advancements in Large Language Models (LLMs), such as OpenAI's ChatGPT, have revolutionized the way companies handle information retrieval and customer engagement. As businesses increasingly require chat-like experiences, they recognize the importance of incorporating the Retrieval-Augmented Generation (RAG) pattern to enable seamless and meaningful user interactions.

Large language models accessed through Azure OpenAI Service empower organizations to leverage generative applications, transforming their business by enhancing efficiency and user experience. Azure AI Search (formerly Azure Cognitive Search), an essential component in RAG implementations, serves as an efficient retriever. This powerful search engine offers a comprehensive suite of enterprise features, including security integration, scalability, availability, and various data integration and enrichment options. Moreover, it goes beyond traditional search capabilities, providing a rich query language, relevance tuning, vector and hybrid search, and semantic ranking for accurate and relevant results.

The repository includes instructions on customization and usage to suit specific needs. This solution accelerator combines the GPT model in Azure OpenAI Service with an Azure AI Search index generated from your data, integrating them into a web application to deliver a natural language interface for search queries.

Differences among and samples for RAG pattern implementation

The "Chat with your data" solution accelerator differs from Azure features for RAG implementation and the Azure Search OpenAI Service demo. To understand these differences and when to use each feature, refer to the provided table.

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