Modern Data Stack
Modernizing the Data Stack
As data becomes more complex, organizations are on the lookout for swifter, more efficient, and cost-effective methods to handle and scrutinize it. Over the past few years, cloud-based data warehouses have altered data processing with their cutting-edge massively parallel processing abilities and SQL support. This advancement has paved the way for a range of cloud-native data tools that are user-friendly, adaptable, and budget-friendly.
Modern data solutions, such as SME's Modern Data Stack, include a collection of tools and technologies built for the cloud, revolutionizing how enterprises tackle data management.
Transform Your Data Management and Analysis with Comprehensive Modern Data Solutions
We provide a comprehensive suite of modern data stack tools and professional services to help organizations transform their data management and analysis capabilities. Our cloud-based tools enable organizations to collect, integrate, warehouse, transform, and consume data more efficiently and accurately than traditional stacks, while our team of experienced professionals provide expert guidance and support to ensure successful implementation and adoption of modern data solutions. Whether you're just starting out or looking to upgrade your existing data infrastructure, we have the tools and expertise to help you achieve your data goals.
Modern vs Traditional Data Stacks
The traditional data stack refers to on-premises hardware, relational databases, ETL tools, and BI software. The modern data stack utilizes cloud-based data warehouses, integration and transformation tools, modern data solutions, and modern BI and visualization tools. Modern stacks can handle larger volumes of data and integrate data in real-time, providing a more agile and cost-effective solution for data management and analysis.
From Manual to Automated
The modern data stack automates data collection using cloud-based tools to connect to various sources and pull data into a central location in near real-time. This approach provides a more efficient and accurate way to collect and transform data compared to traditional data stacks, which often involve manual processes and separate tools for data integration and transformation.
Cloud-Based Integration for Real-Time Data Handling
The modern data stack leverages cloud-based integration tools to handle large volumes of data from various sources in real-time. It incorporates modern data integration techniques, enabling seamless connectivity and collaboration between diverse data sources. This approach not only facilitates the integration of cloud-based sources that may not have been accessible in the traditional stack but also emphasizes a more flexible and efficient methodology for managing data across the entire stack. Modern data integration plays a pivotal role in ensuring the smooth flow of information, supporting organizations in making informed decisions based on up-to-date and consolidated data.
Flexible and Cost-Effective
The modern data stack uses cloud-based data warehouses that are more scalable, flexible, and cost-effective than the traditional stack's on-premises hardware. Cloud-based data warehouses also offer advanced analytics capabilities, providing a more efficient way to store, process, and analyze data.
Extract, Load, Transform
The modern data stack's cloud-based data transformation tools utilize the ELT paradigm to push the processing duties to the cloud data warehouse. These transformations can be accomplished via no-code/low-code workflows that provide a more user-friendly interface for faster data transformation or modularized SQL/Python that gives advanced data engineers more control. They also offer built-in data validation and lineage tracking to ensure data quality and traceability. This is in contrast to the traditional data stack, where data transformations are typically done inside legacy ETL tools which require more hardware and therefore cost more.
Democratizing Data Insights
The modern data stack allows for self-service data consumption through user-friendly, cloud-based data visualization and reporting tools that democratize access to data insights. Traditional stacks typically limit data consumption to a select group of data experts who use specialized tools.
Self-Service Discovery of Trusted Data Assets
The modern data stack integrates data governance tools with other components, providing a more comprehensive view of data across the organization. Advanced analytics capabilities detect and prevent data quality issues before they impact business operations, ensuring consistent data access, security, and compliance.
Building long-lasting relationships through happy customers.
We’re excited to implement SME’s technology to better integrate our disparate data and insights. Digital Transformation is not just about the technology or software, it’s about the use case and need. It includes data governance, data integrity and data trust, as well as providing data literacy and excited for SME to bridge the gap.
Working with SME has been a wonderful experience. Their consulting services provide a wealth of knowledge and extensive expertise in the BI and data analytics space. Their relatively smaller size and quick response times makes them a great asset. I look forward to our continued partnership.
From the start, everyone has always been very helpful, friendly, and knowledgeable. Whether we had questions about licensing or future product releases, we always received quick feedback. I never felt like they were ever trying to sell me anything. Their approach is consultative and they really try to get to know their clients to offer the right guidance. Through this approach, they introduced us to ThoughtSpot and we attended our first conference with them last year. I really appreciate the great work that SME does and would definitely recommend them to anybody who is looking to get a high return on their BI investment.
I have nothing but good things to say about SME and would certainly recommend them. We have implemented Qlik throughout upper management so if the product goes down, the company stops. Even though SME is growing, I never felt any less personalized attention or commitment from them. I truly appreciate their teaming and partnership.
From server configurations and data modeling, all the way through application deployment and governance, we are confident that we have the best practices in place to provide a long-term business intelligence solution that meets our expectations and future growth needs.
The partnership between ThoughtSpot and SME Solutions Group empowers customers to utilize ThoughtSpot's AI-driven analytics and tap into SME's extensive expertise and knowledge throughout the entire data value chain, resulting in insights from their modern data stack at a much faster rate.
SME Solutions Group delivers exceptional services working collaboratively to achieve outstanding outcomes for our joint customers. Their partnership approach combines expertise, dedication, and seamless implementation, ensuring that our clients thrive and surpass their business goals.
SME Solutions Group’s deep knowledge of Snowflake and AWS allowed us to streamline our cloud data migration project. Their guidance and support were invaluable in helping us navigate the complexities of the cloud environment and make informed decisions that aligned with our business goals. Through their implementation strategies and focus on execution, we were able to seamlessly transition our data infrastructure to the cloud, resulting in improved scalability, performance, and cost-efficiency..
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