In this era of unprecedented data growth, companies are increasingly hunting for the holy grail of data management: a system that’s both robust and nimble, capable of sifting through vast digital oceans to catch the valuable insights swimming beneath. Enter the concept of DataOps, a method that stretches far beyond the confines of traditional ETL processes. To dissect and better understand this trend, we spoke with Andy Vidan, CEO of Composable Analytics, Inc., a company steeped in the practice of DataOps.
DataOps is not simply about enhancing ETL (Extract, Transform, Load) processes, as some might suggest. It represents a broader approach to building and operationalizing data-intensive applications. Data-intensive applications excel at handling and processing large volumes of data, optimizing for high throughput and low latency, often in real-time or near-real-time scenarios. They rely on efficient and scalable data storage solutions and incorporate built-in pipelines for data processing and analytics. Additionally, they prioritize fault tolerance and reliability, ensuring the integrity and observability of data.
To effectively implement DataOps and build data-intensive applications, organizations are turning to composable architectures. This approach emphasizes the assembly of smaller, modular components to create larger systems, enabling flexibility and scalability. Composable architectures align with the principles of DataOps, allowing for the efficient design, development, and deployment of complex applications.
How do organizations tame these data behemoths? This is where composable architectures emerge, championed by Lars Fiedler and Andy Vidan, founders at Composable Analytics, Inc., an MIT data and AI company. Composable Analytics banks on the clever assembly of smaller, modular components to architect larger systems, which offers unmatched flexibility and scalability.
“The Composable DataOps Platform is designed to meet the needs of forward-thinking organizations that demand better data access, quality, observability, agility, collaboration, and scalability,” says Vidan, talking to us from his office which, fittingly, has the air of a space finely tuned for collaboration and innovation.
Composable Analytics hasn’t stumbled upon this approach by accident. Founded in the fertile tech grounds of MIT in 2014, the team applied its vast expertise — ranging from big data systems, machine learning and analytics, to distributed systems and data fusion — to initially serve heavyweights like the Department of Defense and the Department of Homeland Security. This high-stakes playground revealed a crucial lesson: complex systems thrive when composable by design. Today, Composable serves several of the largest asset management and insurance firms in North America.
Vidan underscores the shortcomings of yesteryear’s monolithic data warehouses and lakes, which are increasingly seen as relics in the fast-paced digital landscape. Modern composable architectures, with their ethos of domain-based design, cloud-based scalability, and microservices orchestration, offer a departure from the past, enabling organizations to evolve alongside their user and application demands.
Imagine a world where you could effortlessly plug in new data modules like Lego blocks, scaling up or transforming your data operations with relative ease. This is the reality that composable architectures offer, enabling DataOps by fostering environments where design, development, and deployment of complex applications become a synchronized dance of agility and precision.
For enterprises eager to dive into a modern data strategy capable of managing limitless data volumes, Composable Analytics provides the Composable DataOps Platform, a brainchild of MIT’s quest for unrivaled data operations frameworks, that accelerates the development of data-driven applications while providing an overarching structure that is tailor-made for Enterprise AI solutions.
Looking to connect with the minds behind this transformative approach? Find Composable Analytics, Inc. on LinkedIn or dive deep into their world at DataFlowLabs, where the secrets to managing and understanding big data are further unraveled. As the data landscape continues to evolve at a breakneck pace, the insights from the Composable team stand as lighthouses guiding the way to a data-managed future that is not just streamlined, but truly composable.
Published By: Aize Perez
