ProjectPro

FEBRUARY 16, 2023

Learning SQL can help data engineers work more effectively with data analysts and data scientists as they share a common language for querying and analysing data. Data engineers can extract data from a table in a relational database using SQL queries like the "SELECT" statement with the "FROM" and "WHERE" clauses.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

ProjectPro

SEPTEMBER 26, 2014

Hadoop is fail proof : When using Hadoop, data sent to an individual node also replicates on all the other nodes in the cluster, so in case of failure on one node, there is always a backup copy of the data available in the cluster. Conversely, Sqoop also allows importing formatted file again into the relational database.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

ProjectPro

DECEMBER 7, 2021

This process enables quick data analysis and consistent data quality, crucial for generating quality insights through data analytics or building machine learning models. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects What is an ETL Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Knowledge Hut

MARCH 12, 2024

SQL databases are one of the most widely used types of database systems available. SQL is a structured query language that these databases enable users to utilize for data management, retrieval, and storage. A number of SQL databases are available. However SQLite is one of the most widely used. What is SQL?

SQL 52

SQL Relational Database PostgreSQL MySQL 52

Knowledge Hut

JANUARY 23, 2024

Proficiency with Linux, PHP, Apache, MySQL, Express.js, Node.js, AngularJS, and other technologies is crucial for backend development. While major businesses rely on dedicated frontend and backend developers to work on diverse projects, startups also value the services of full stack engineers.

MongoDB 98

MongoDB Programming Language Java MySQL 98

Knowledge Hut

SEPTEMBER 6, 2023

These certifications serve as concrete evidence of a professional's mastery, encompassing skills such as precise querying, data manipulation, database creation, and various data-related tasks. Passing the exam means one has gained a significant knowledge of SQL and its use while working on Oracle Database servers.

Database 52

Database Certification MongoDB MySQL 52

Knowledge Hut

MARCH 15, 2024

Making decisions in the database space requires deciding between RDBMS (Relational Database Management System) and NoSQL, each of which has unique features. RDBMS uses SQL to organize data into structured tables, whereas NoSQL is more flexible and can handle a wider range of data types because of its dynamic schemas.

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

Knowledge Hut

JUNE 30, 2023

It brings with it a very comprehensive set of features for managing very large-scale databases, while maintaining very high performance, scalability, utmost security, and also advanced analytics capabilities. It is widely used in many of the web applications and also in smaller-scale database projects.

MySQL 52

MySQL Medical Relational Database Healthcare 52

Data Engineering Podcast

MAY 29, 2022

In this episode SVP of engineering Shireesh Thota describes the impact on your overall system architecture that Singlestore can have and the benefits of using a cloud-native database engine for your next application. If you’ve learned something or tried out a project from the show then tell us about it!

Architecture 100

Architecture Database Data Architecture PostgreSQL 100

DareData

JANUARY 30, 2023

At DareData, we believe that data scientists should be responsible for the deployment and maintenance of their own models, or at least have a strong understanding of data engineering concepts to better contribute to the lifecycle of model projects. Azure Data Factory: A cloud-based data integration service offered by Microsoft.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

ProjectPro

FEBRUARY 8, 2023

Let us dive deeper into this data integration solution by AWS and understand how and why big data professionals leverage it in their data engineering projects. AWS Glue then creates data profiles in the catalog, a repository for all data assets' metadata, including table definitions, locations, and other features.

AWS 98

AWS Scala Metadata Data Lake 98

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

JANUARY 31, 2023

Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

AltexSoft

OCTOBER 8, 2021

The bad news is, integrating data can become a tedious task, especially when done manually. Luckily, there are various data integration tools that support automation and provide a unified data view for more efficient data management. Data integration process. Pre-built connectors. Pre-built connectors.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

Knowledge Hut

NOVEMBER 2, 2023

It offers centralized management and billing. Data Management and Data Transfer To run HPC applications in the AWS cloud, you need to move the required data into the cloud. There are several data transport solutions designed to securely transfer huge amounts of data. What are AWS Components 1.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

ProjectPro

MARCH 19, 2015

As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT professionals often debate the merits of SQL vs. NoSQL but with increasing business data management needs, NoSQL is becoming the new darling of the big data movement.

NoSQL 49

NoSQL Big Data SQL Database-centric 49

AltexSoft

NOVEMBER 23, 2021

Let’s take a look at real-world use cases to see how companies operating in different industries leverage data virtualization technology. Pfizer: Acceleration of information delivery to the company’s research projects. In the past, the company used the traditional ETL data integration approach that often resulted in outdated data.

Process 69

Process Data Lake Metadata Data Warehouse 69

ProjectPro

JULY 27, 2021

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

MAY 12, 2023

Unstructured data refers to information that lacks a predefined format or organization. In contrast, big data refers to large volumes of structured and unstructured data that are challenging to process, store, and analyze using traditional data management tools. Ensure data security and privacy.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59