Knowledge Hut

MAY 2, 2024

To store and process even only a fraction of this amount of data, we need Big Data frameworks as traditional Databases would not be able to store so much data nor traditional processing systems would be able to process this data quickly. Looking to dive into the world of data science? billion (2019 – 2022).

Scala 96

Scala Hadoop Datasets Java 96

Knowledge Hut

NOVEMBER 17, 2023

In 2006, Amazon launched AWS to handle its online retail operations. It is an affordable service that allows data scientists to classify, clean, and transfer data. It is serverless with a Data Catalog, a scheduler, and an ETL engine for producing Scala or Python code.

AWS 52

AWS Data Science Certification Amazon Web Services 52

AltexSoft

JULY 18, 2023

Spark SQL brings native support for SQL to Spark and streamlines the process of querying semistructured and structured data. For data science and machine learning, Spark connects to popular libraries and frameworks such as pandas, TensorFlow, and PyTorch, thus enabling complex computations and predictive analytics.

Big Data 52

Big Data Data Process Process Hadoop 52

AltexSoft

JULY 29, 2022

Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. a suitable technology to implement data lake architecture. What happens, when a data scientist, BI developer , or data engineer feeds a huge file to Hadoop?

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

JANUARY 24, 2023

4) Business Intelligence A quick, in-memory analysis service called BigQuery BI Engine enables users to create dynamic, rich dashboards and reports without sacrificing performance, scalability, security, or the timeliness of the data. Google's Dremel is an interactive ad-hoc query solution for analyzing read-only hierarchical data.

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52