Knowledge Hut

MAY 2, 2024

Big data sets are generally huge – measuring tens of terabytes – and sometimes crossing the threshold of petabytes. It is surprising to know how much data is generated every minute. quintillion bytes of data are created every single day, and it’s only going to grow from there. As estimated by DOMO : Over 2.5

Scala 94

Scala Hadoop Datasets Java 94

Knowledge Hut

DECEMBER 19, 2023

Web Storage, on the other hand, is DOM (document object model storage) which is a standard JavaScript API provided by web browsers. A web storage feature means having web applications that allow data storage within the browser on the client side. This is possible because of JVM.

Java 98

Java Programming Language Architecture Database 98

ProjectPro

JANUARY 31, 2022

Unlock the ProjectPro Learning Experience for FREE How Does Snowflake Store Data Internally? Let us now understand the Snowflake data storage layer in detail. Data administration is easier using the cloud for data storage, which operates as a shared-disk architecture (data accessible by all clusters).

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

FEBRUARY 21, 2023

This blog covers the most valuable data engineering certifications worth paying attention to in 2023 if you plan to land a successful job in the data engineering domain. Why Are Data Engineering Skills In Demand? The World Economic Forum predicts that by 2025, 463 exabytes of data will be produced daily across the world.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Data Variety Hadoop stores structured, semi-structured and unstructured data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

NOVEMBER 22, 2021

PySpark runs a completely compatible Python instance on the Spark driver (where the task was launched) while maintaining access to the Scala-based Spark cluster access. Although Spark was originally created in Scala, the Spark Community has published a new tool called PySpark, which allows Python to be used with Spark.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

NOVEMBER 11, 2014

With Apache Spark, you can write collection-oriented algorithms using Scala's functional programming language. Apache Spark now has a vast community of vocal contributors and users because programming with Spark using Scala is much easier and faster than the Hadoop MapReduce framework both on disk and in memory.

Hadoop 40

Hadoop Scala Machine Learning Java 40