As organizations rely more heavily on data analytics for decision-making, the amount of data being captured and fed into analytics data stores has increased substantially. Reliable data is crucial to ensure that enterprises can make informed decisions based on accurate information. Data comes from various sources, including both internal applications…

Hadoop is a widely used open-source computing framework that was created by the Apache Foundation in 2005 to process and analyze large datasets. It has gained popularity for its ability to handle large amounts of data and scale horizontally, making it a valuable tool for organizations seeking to extract insights…

Organizations that rely on data to drive their operations and decision-making are increasingly adopting Data Observability as an essential practice. This practice encompasses various aspects such as data validation, anomaly detection, data reliability, and data pipeline monitoring, which enable organizations to ensure the quality, accuracy, and reliability of their data…

Modern Day Data Applications that perform Streaming operations, ETL, Batch processing, etc. require consistently large amount of resources. Enterprises calculate capacity incrementally through vanilla sizing guides. Often times, capacity planning assumes significant headroom, which may not be ideal for Cloud environments due to cost implications. It is possible to start…

We’ve all heard how valuable data is, how it drives the enterprise forward, how it can use data to make better decisions. Complex data pipelines criss-cross the enterprise with numerous data consumers along such pipelines who make assumptions about data, it’s validity, uniqueness and freshness. One can have the most…

“Modernization” can mean different things depending on the data professional that you’re talking to. It could be a tactical approach that involves replacing existing technology with a newer, better technology or about adding new capabilities to support new use cases. Or it could be a more strategic initiative that involves…

Sometimes the best defense is a good offense. That’s never truer than when it comes to data quality and reliability. The classic approach to data quality monitoring arose in the data warehouse and business intelligence (BI) era. It went something like this. An alert pops up or, worse yet, an…

One of the key benefits of digital transformation (DX) is the democratization of data — who has access to it, who can analyze it, and who holds the resulting knowledge for influencing vital processes and decisions inside a modern business? Democratization, which Gartner declared was one of the top ten…

Minimalism isn’t just cool because decluttering gurus like Marie Kondo say so. As the world gets ever more complicated, simplicity emerges as a rare and valuable commodity. So less becomes more, and 2–1 = 3. The need for simplicity is never stronger than in the business technology realm. Most IT…