by lochan2014 | Jul 15, 2024 | AI & ML
Training for Generative AI is an exciting journey that combines knowledge in programming, machine learning, and deep learning. Since you have a basic understanding of Python, you are already on the right track. Here’s a suggested learning path to help you progress: 1.... by lochan2014 | Jul 7, 2024 | Pyspark
1.Exploratory Data Analysis (EDA) with Pandas in Banking – Converted in Pyspark While searching for A free Pandas Project on Google Found this link -Exploratory Data Analysis (EDA) with Pandas in Banking . I have tried to convert this Pyscript in Pyspark one.... by lochan2014 | Jun 25, 2024 | Tutorials
Apache Spark, including PySpark, automatically optimizes job execution by breaking it down into stages and tasks based on data dependencies. This process is facilitated by Spark’s Directed Acyclic Graph (DAG) Scheduler, which helps in optimizing the execution... by lochan2014 | Jun 23, 2024 | Pyspark
explain a typical Pyspark execution Logs A typical PySpark execution log provides detailed information about the various stages and tasks of a Spark job. These logs are essential for debugging and optimizing Spark applications. Here’s a step-by-step explanation of... by lochan2014 | Aug 24, 2024 | Pyspark
Apache Spark is a powerful distributed computing system that handles large-scale data processing through a framework based on Resilient Distributed Datasets (RDDs). Understanding how Spark partitions data and distributes it via shuffling or other operations is crucial... by lochan2014 | Jun 16, 2024 | Pyspark
RDD (Resilient Distributed Dataset) is the fundamental data structure in Apache Spark. It is an immutable, distributed collection of objects that can be processed in parallel across a cluster of machines. Purpose of RDD Distributed Data Handling: RDDs are designed to... by lochan2014 | Jun 16, 2024 | Pyspark
Yes, DataFrames in PySpark are lazily evaluated, similar to RDDs. Lazy evaluation is a key feature of Spark’s processing model, which helps optimize the execution of transformations and actions on large datasets. What is Lazy Evaluation? Lazy evaluation means... by lochan2014 | Jun 15, 2024 | Pyspark
Big Data Lake: Data Storage HDFS is a scalable storage solution designed to handle massive datasets across clusters of machines. Hive tables provide a structured approach for querying and analyzing data stored in HDFS. Understanding how these components work together... by lochan2014 | Jun 15, 2024 | Pyspark
Big data and big data lakes are complementary concepts. Big data refers to the characteristics of the data itself, while a big data lake provides a storage solution for that data. Organizations often leverage big data lakes to store and manage their big data, enabling... by lochan2014 | Aug 29, 2024 | Pyspark
PySpark is a powerful Python API for Apache Spark, a distributed computing framework that enables large-scale data processing. Spark History Spark was initially started by Matei Zaharia at UC Berkeley’s AMPLab in 2009, and open sourced in 2010 under a BSD...