AltexSoft

JULY 18, 2023

Whether you’re a data scientist, software engineer, or big data enthusiast, get ready to explore the universe of Apache Spark and learn ways to utilize its strengths to the fullest. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Big Data 52

Big Data Data Process Process Hadoop 52

Striim

NOVEMBER 8, 2023

A data mesh is technology-agnostic and underpins four main principles described in-depth in this blog post by Zhamak Dehghani. The four data mesh principles aim to solve major difficulties that have plagued data and analytics applications for a long time.

Architecture 52

Architecture Generalist Government Datasets 52

Knowledge Hut

JULY 26, 2023

In this blog, we will deep dive into database system applications in DBMS, and their components and look at a list of database applications. What are Database Applications? Database applications are software programs or systems that are designed to organize and efficiently store, handle, and retrieve vast amounts of data.

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

JUNE 26, 2023

From analysts to Big Data Engineers, everyone in the field of data science has been discussing data engineering. When constructing a data engineering project, you should prioritize the following areas: Multiple sources of data (APIs, websites, CSVs, JSON, etc.) Delta Lake and Kubernetes are both trending subjects.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

ProjectPro

JANUARY 31, 2023

This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Data Processing: This is the final step in deploying a big data model.

Big Data 52

Big Data Hadoop AWS Relational Database 52

AltexSoft

SEPTEMBER 23, 2021

Data warehouse vs data lake vs data hub comparison table. Data warehouse vs data hub. A data warehouse (DW) is a unified storage for all corporate data. As the output, the data collected from various sources becomes consistent and readable for the end-point systems like analytics applications.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

ProjectPro

JULY 15, 2021

You can also exchange images securely utilizing the application. It is recommended to use SQL database for data storage as it comes with built-in security tools and features. Many application developers prefer to have access to such an application to design better mobile and web apps using the Android framework.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

SEPTEMBER 6, 2021

Popular instances where GCP is used widely are machine learning analytics, application modernization, security, and business collaboration. It provides cloud storage and computing services across 93 availability zones and 29 geographic regions. AWS: Typically, AWS provides different EC2 instances similar to the list above.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

ProjectPro

MARCH 15, 2016

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago. The solution to this problem is straightforward.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Access Solution to Data Warehouse Design for an E-com Site 4.

Big Data 52

Big Data Coding Project Hadoop 52

phData: Data Engineering

JULY 18, 2023

Central Source of Truth for Analytics A Cloud Data Warehouse (CDW) is a type of database that provides analytical data processing and storage capabilities within a cloud-based infrastructure. Zero Copy Cloning: Create multiple ‘copies’ of tables, schemas, or databases without actually copying the data.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52