Algorithms and Data Structures for Massive Datasets by Dzejla Medjedovic and Emin Tahirovic.

Dzejla holds a PhD in Computer Science from Stony Brook University and currently serves as a Vice President of Data at Social Explorer. Emin holds a MS in Theoretical Computer Science from Goethe University and a PhD in Biostatistics from the University of Pennsylvania. He is a faculty member at the International University of Sarajevo. Together, Dzejla and Emin are leveraging their expertise in algorithms, data structures, and statistics to provide insights into managing massive datasets.
We now live is a world beyond big data. Today data lakes at petabyte and exabyte scale are common. Zettabyte cannot be very far away. Unlike traditional data warehouses, data lakes in fact accommodate structured, semi-structured, and unstructured data from various sources.
Dzejla and Emin are certainly providing a complex topic in a friendly manner to make complex concepts easy to understand. Readers will learn about deploying the correct type of database solution for your organization’s applications. This was a very enjoyable book to read.