Kala / Bhatnagar / Sarbahi Optimizing Databricks Workloads

Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads
1. Auflage 2024
ISBN: 978-1-80181-192-7
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 230 Seiten

No detailed description available for "Optimizing Databricks Workloads".

Autoren/Hrsg.

Kala, Anirudh

Bhatnagar, Anshul

Sarbahi, Sarthak

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering

Inhaltsverzeichnis

Table of Contents - Discovering Databricks
- Batch and Real-Time Processing in Databricks
- Learning about Machine Learning and Graph Processing in Databricks
- Managing Spark Clusters

- Big Data Analytics

- Databricks Delta Lake
- Spark Core

- Case Studies

Über Autor(innen)

Kala Anirudh :

Anirudh Kala is an expert in machine learning techniques, artificial intelligence, and natural language processing. He has helped multiple organizations to run their large-scale data warehouses with quantitative research, natural language generation, data science exploration, and big data implementation. He has worked in every aspect of data analytics using the Azure data platform. Currently, he works as the director of Celebal Technologies, a data science boutique firm dedicated to large-scale analytics. Anirudh holds a computer engineering degree from the University of Rajasthan and his work history features the likes of IBM and ZS Associates.Bhatnagar Anshul :

Anshul Bhatnagar is an experienced, hands-on data architect involved in the architecture, design, and implementation of data platform architectures, and distributed systems. He has worked in the IT industry since 2015 in a range of roles such as Hadoop/Spark developer, data engineer, and data architect. He has also worked in many other sectors including energy, media, telecoms, and e-commerce. He is currently working for a data and AI boutique company, Celebal Technologies, in India. He is always keen to hear about new ideas and technologies in the areas of big data and AI, so look him up on LinkedIn to ask questions or just to say hi.Sarbahi Sarthak :

Sarthak Sarbahi is a certified data engineer and analyst with a wide technical breadth and a deep understanding of Databricks. His background has led him to a variety of cloud data services with an eye toward data warehousing, big data analytics, robust data engineering, data science, and business intelligence. Sarthak graduated with a degree in mechanical engineering.