Knowledge Hut

MAY 31, 2023

Whether you are a beginner or an experienced programmer, these top database projects with source codes can help you improve your skills and add value to your portfolio. From basic data retrieval to robust CRUD operations, Node.js So, Let's get started! It is also one of the most important database projects for students.

Database 52

Database Coding MongoDB Project 52

ProjectPro

JANUARY 24, 2023

Additionally, columnar storage allows BigQuery to compress data more effectively, which helps to reduce storage costs. BigQuery enables users to store data in tables, allowing them to quickly and easily access their data. It supports structured and unstructured data, allowing users to work with various formats.

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

AltexSoft

JUNE 7, 2021

Data storage options. Apache HBase , a noSQL database on top of HDFS, is designed to store huge tables, with millions of columns and billions of rows. Its in-memory processing engine allows for quick, real-time access to data stored in HDFS. Alternatively, you can opt for Apache Cassandra — one more noSQL database in the family.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

JANUARY 31, 2023

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

JANUARY 19, 2022

Azure Data Engineers Jobs - The Demand Azure Data Engineer Salary Azure Data Engineer Skills What does an Azure Data Engineer Do? Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. This is where the Azure Data Engineer enters the picture.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JULY 3, 2015

. “SAP systems hold vast amounts of valuable business data -- and there is a need to enrich this, bring context to it, using the kinds of data that is being stored in Hadoop. Under such circumstances Apache Hadoop will provide low-cost data storage for huge volumes of sensor data.

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

OCTOBER 28, 2015

Sqoop in Hadoop is mostly used to extract structured data from databases like Teradata, Oracle, etc., and Flume in Hadoop is used to sources data which is stored in various sources like and deals mostly with unstructured data. The complexity of the big data system increases with each data source.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

ProjectPro

JUNE 4, 2015

Hadoop common provides all Java libraries, utilities, OS level abstraction, necessary Java files and script to run Hadoop, while Hadoop YARN is a framework for job scheduling and cluster resource management. 2) Hadoop Distributed File System (HDFS) - The default big data storage layer for Apache Hadoop is HDFS.

Hadoop 52

Hadoop Architecture IT Java 52

ProjectPro

JULY 27, 2021

Complex algorithms, specialized professionals, and high-end technologies are required to leverage big data in businesses, and big Data Engineering ensures that organizations can utilize the power of data. SQL works on data arranged in a predefined schema. Veracity: the quality of the data to be analyzed.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

MARCH 23, 2016

So, let’s have a look at the four important libraries of Hadoop, which have made it a super hero- Hadoop Common – The role of this character is to provide common utilities that can be used across all modules. Hadoop is not popular for its processing speed in dealing with small data sets. What is Hadoop used for?

Hadoop 40

Hadoop IT Big Data Retail 40

ProjectPro

DECEMBER 10, 2021

Source: Microsoft Azure docs By launching a cloud service instance, Azure cloud services can be utilized to implement multi-tier web-based apps in Azure. Azure Blob storage is a Microsoft storage offering that is meant explicitly for cloud objects and is suitable for holding vast quantities of unstructured data.

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

JUNE 2, 2015

It is difficult to make sense out of billions of unstructured data points (in the form of news articles, forum comments, and social media data) without powerful technologies like Hadoop, Spark and NoSQL in place. Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects PREVIOUS NEXT <

Big Data 40

Big Data Hadoop Banking Retail 40

ProjectPro

JULY 30, 2021

What is Elastic Utility Computing Architecture - EUCALYPTUS? And link programs to the systems and build data centres. These instances use their local storage to store data. They get used in NoSQL databases like Redis, MongoDB, data warehousing. Blob storage provides storing of unstructured data.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40