Market leaders throughout the world have one common denominator: they are all winning with data. They leverage their data assets to learn from the past using business intelligence tools; they also foc

Capturing data and making it available within an organization quickly will be a differentiator for companies in the modern data era. For instance, a customer could be interacting with a bank's website

Get closer to winning open data lake architectures, fast forward to the use case that you'd like to explore: Ad-hoc Analytics - 07:50 - 18:27 Streaming Analytics - 21:20 - 30:54 Machine Learning - 34

As organizations grapple with the sudden economic turmoil created by the pandemic, there is a critical need to balance cost savings with the need to drive innovation. Join Justin Wainwright, Systems

Apache Spark is powerful open source engine used for processing complex, memory-intensive workloads. However, running Apache Spark in the cloud can be complex and challenging. Qubole has re-engineered

Presto is the go-to query engine of Qubole customers for interactive and reporting use cases due to its excellent performance and ability to join unstructured and structured data in seconds. Many Qubo

Data engineers today serve a wider audience than just a few years ago. Companies now need to apply machine learning (ML) techniques on their data in order to remain relevant. Among the new challenges

Cloud service models have become the new norm for enterprise deployments in almost every category — and big data is no exception. The separation of storage and compute in the cloud afford unparalleled

In this episode, we will understand the life cycle of Dags and see how scheduler picks up tasks and sends them to be executed. We will also understand how Dag runs and Task instances go through variou

As companies scale their data infrastructure on Google Cloud, they need a self-service data platform with integrated tools that enables easier, more collaborative processing of big data workloads. Jo

Watch this on-demand demo to learn how the most data-driven organizations are able to significantly enhance TCO, performance and optimization of their cloud data lakes with Qubole. This session is fo

Data warehouses support reporting and analytics on historical data while data lakes support newer use cases that leverage data for machine learning, predictions, and real-time analysis. The question i

The data that organizations collect and process must be stored in a way that allows them to leverage it: to report on the past, to understand the present, and to predict the future. Data warehouses su

Market leaders throughout the world have one common denominator: they are all winning with data. They leverage their data assets to learn from the past using business intelligence tools; they also foc

In this Episode, we will learn about what are Dags, tasks and how to write a DAG file for Airflow. This episode also covers some key points regarding DAG runs and Task instances.

Joydeep Sen Sarma, Co-founder and CTO, Qubole, Rohit Srivastava, Engineering Manager, MiQ, and Birendra Sahu, Head - Data Engineering, Razorpay discuss the ways that they're navigating data lake TCO i

Ashish uncovers the very latest data lake TCO cost challenges and innovations from the infrastructure layer through to the data lake platform with a look Qubole solutions such as Cost Explorer.

Nikhil Mathur joined Qubole's 'How to be a TCO innovator on AWS?' webinar series to showcase the phenomenal data and analytics growth seen in APAC.