This report focuses on how to tune a Spark application to run on a cluster of instances. We define the concepts for the cluster/Spark parameters, and explain how to configure them given a specific set ...

What I'd like to cover here goes beyond those AI headlines, however, and involves a special nugget just for folks doing data engineering, analytics and machine learning work with Apache Spark.

In theory, data lakes sound like a good idea: One big repository to store all data your organization needs to process, unifying myriads of data sources. In practice, most data lakes are a mess in one ...

AnswerRocket, a pioneer in enterprise AI solutions since 2013, has announced its acquisition of Cognitive Spark, a specialized data science firm with a focus on innovating advanced machine learning ...

As a data engineering leader with over 15 years of experience designing and deploying large-scale data architectures across industries, I’ve seen countless AI projects stumble, not because of flawed ...

In an era where data is the backbone of every business decision, Gopala Krishna Subraya Pai has emerged as a transformative figure in the field of cloud-based data engineering and analytics.

Apache Spark and Hadoop, Microsoft Power BI, Jupyter Notebook and Alteryx are among the top data science tools for finding business insights. Compare their features, pros and cons. While data has its ...

I am a CRM and data engineering leader with 14 years of experience. Head of sales intelligence and data at Snapchat. Data-driven decision-making has seen a skyrocketing demand in today's world of AI ...