Smita Sinha

Are you feeling the pinch of balancing cost savings and performance for your data lake? With the exponential growth of big data, it’s more important…

In today’s world, data is present every step of the way. Technological innovations and advancements over the years have made a great impact on the…

In today’s competitive data-driven world, processing massive datasets efficiently is not just an advantage; it’s a necessity. Apache Spark 3.3, in combination with Qubole’s Data…

In this blog, we will take a closer look at the powerful synergy between Apache Spark 3.3 and Jupyter Notebooks, both available on Qubole. Read…

Conducting ad-hoc analytics, streaming analytics, and ML workloads in the cloud offers unique cost, performance, speed, time to value, and accessibility advantages. However, the amount…

Given the sheer amount of data that we produce in this era, choosing the right data platform to manage data has never felt more important.…

The 2020 Covid-19 crisis has led to an unprecedented market shift that has emphasized the importance of implementing modern data architecture that accelerates analytics, dictates…

In an era of unprecedented uncertainty, executives are demanding new data and analytics capabilities to support ongoing changes to decision making to address the crisis,…

Data Lake Architecture Data lake architecture stores large volumes of data in its original form – structured, unstructured, and semi-structured. Ideal for machine learning use…

In the last few months, the COVID-19 crisis has set a wake-up call for organizations and administrations that a new set of digital capabilities is…

The increase in volume, velocity, and variety of data, combined with new analytics and machine learning, has created the need for an open data lake…