ProjectPro

JUNE 6, 2025

They include relational databases like Amazon RDS for MySQL, PostgreSQL, and Oracle and NoSQL databases like Amazon DynamoDB. Become a Job-Ready Data Engineer with ProjectPro's Complete Data Engineering with AWS Course ! These services provide scalable, reliable, and cost-effective solutions for businesses and developers.

AWS

ProjectPro

JUNE 6, 2025

Top 15 Data Analysis Tools to Explore in 2025 | Trending Data Analytics Tools 1. Google Data Studio 10. Looker Data Analytics Tools Comparison Analyze Data Like a Pro with These Data Analysis Tools FAQs on Data Analysis Tools Data Analysis Tools- What are they? Power BI 4. Apache Spark 6.

Data Analysis Tools

ProjectPro

JUNE 6, 2025

In 2024, the data engineering job market is flourishing, with roles like database administrators and architects projected to grow by 8% and salaries averaging $153,000 annually in the US (as per Glassdoor ). These trends underscore the growing demand and significance of data engineering in driving innovation across industries.

Data Engineering

ProjectPro

JUNE 6, 2025

Seamless Data Integration – Connect with databases ( MySQL, PostgreSQL ), APIs, CSV, Excel, and JSON for real-time data access. Defining the Main Function for Data Extraction Next, we define a main function that takes folder_of_files as an argument (expected to contain.xls files). Handles errors using try-except.

Python

ProjectPro

JUNE 6, 2025

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineering

ProjectPro

JUNE 6, 2025

Do Internships to gain a personal learning experience and exposure to how big data plays a role in helping the company's teams and clients. Prerequisites to Learn Big Data Below are the prerequisites we recommend you perfect yourself to learn big data. SQL has several dialects. MongoDB , PostgreSQL) database management.

Big Data

ProjectPro

JUNE 6, 2025

7 Popular GCP ETL Tools You Must Explore in 2025 This section lists the topmost GCP ETL services/tools that will allow you to build effective data pipelines and workflows for your data engineering projects. Cloud SQL Cloud SQL is a completely managed relational database service for SQL Server, MySQL, and PostgreSQL.

ETL Tools

Monte Carlo

JUNE 3, 2025

I want to integrate all types of data. Gen2 Warehouses Data Science Agent Cortex AI SQL 7. I want to leverage AI with our data. Horizon will also be able to discover additional assets outside of Snowflake, including SQL Server, Postgres SQL, PowerBI, Tableau, Airflow, dbt, and more. Snowflake Openflow 5.

Unstructured Data

ProjectPro

JUNE 6, 2025

Distinguish between an Azure SQL Database and a SQL managed instance. Azure SQL Database is a fully managed PaaS database server that keeps track of most database management tasks like data upgradations, patching, data backups, etc., In Azure Synapse Analytics, what does a dedicated SQL pool mean?

BI

ProjectPro

JUNE 6, 2025

Pig vs Hive Criteria Pig Hive Type of Data Apache Pig is usually used for semi structured data. Used for Structured Data Schema Schema is optional. Language It is a procedural data flow language. Follows SQL Dialect and is a declarative language. Hive allows execution of most SQL queries.

Hadoop

Rockset

JULY 9, 2019

One of the main hindrances to getting value from our data is that we have to get data into a form that’s ready for analysis. Consider the hoops we have to jump through when working with semi-structured data, like JSON, in relational databases such as PostgreSQL and MySQL. It sounds simple, but it rarely is.

Relational Database

Rockset

NOVEMBER 5, 2021

Summary: DataBrain, a SaaS company, was using PostgreSQL through Amazon RDS to land and query incoming customer data. However, PostgreSQL couldn’t scale, quickly ingest schemaless data, or efficiently run analytics as DataBrain’s data grew. One customer was already generating 60 million rows of data.

PostgreSQL

Netflix Tech

FEBRUARY 25, 2021

Many organizations are embracing GraphQL as a way to unify their enterprise-wide data model and provide a single entry point for navigating a sea of structured data with its network of related entities. Use PostgreSQL Composite Types when taking advantage of PostgreSQL Aggregate Functions.

PostgreSQL

Data Engineering Podcast

AUGUST 31, 2020

Your host is Tobias Macey and today I’m interviewing Eldad Farkash about Firebolt, a cloud data warehouse optimized for speed and elasticity on structured and semi-structured data Interview Introduction How did you get involved in the area of data management?

Data Warehouse

Cloudera

JUNE 3, 2022

First of all, there’s the question of what data is currently available within their organization, where it is, and how it can be accessed. Data scientists might want to do some SQL – based profiling, or visualize the data to better understand the distributions, veracity, and hidden nuances. Next Steps.

Data Analysis

Rockset

SEPTEMBER 3, 2020

Offloading read operations to another database, such as PostgreSQL, is one option that accomplishes this end. After discussing what PostgreSQL is, this article will look at how to offload read operations to it. What Is PostgreSQL? PostgreSQL is an open-source relational database that has been around for almost three decades.

MongoDB

Rockset

JULY 6, 2022

Typically stored in SQL statements, the schema also defines all the tables in the database and their relationship to each other. Companies carefully engineered their ETL data pipelines to align with their schemas (not vice-versa). SQL queries were easier to write. They also ran a lot faster. There were heavy tradeoffs, though.

NoSQL

Rockset

JANUARY 5, 2022

So I don’t fault you for resisting my message, which is that the SQL database that came of age in the 80s still has a critical role to play today in moving data-driven companies from batch to real-time analytics. In many tech circles, SQL databases remain synonymous with old-school on-premises databases like Oracle or DB2.

Database

ProjectPro

FEBRUARY 16, 2023

At the heart of these data engineering skills lies SQL that helps data engineers manage and manipulate large amounts of data. Did you know SQL is the top skill listed in 73.4% of data engineer job postings on Indeed? Almost all major tech organizations use SQL. use SQL, compared to 61.7%

Data Engineering

Knowledge Hut

MARCH 15, 2024

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. Programming languages like SQL (Structured Query Language) are used to update and retrieve data from databases, among other things.

NoSQL

Knowledge Hut

JULY 24, 2023

NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data. Examples include Amazon DynamoDB and Google Cloud Datastore.

Database

Workfall

JULY 4, 2023

Reading Time: 8 minutes In the world of data engineering, a mighty tool called DBT (Data Build Tool) comes to the rescue of modern data workflows. Imagine a team of skilled data engineers on an exciting quest to transform raw data into a treasure trove of insights. In DBT, transformations are like these artisans.

Data Warehouse

Knowledge Hut

MARCH 27, 2024

An ordered set of data kept in a computer system and typically managed by a database management system (DBMS) is called a database. Table modeling of the data in standard databases facilitates efficient searching and processing. SQL, or structured query language, is widely used for writing and querying data.

Database

Rockset

AUGUST 2, 2023

They used MongoDB as their metadata store to capture vessel and company data. The vessel positions data which in nature is a time series geospatial data set, was stored in both PostgreSQL and Cassandra to be able to support different use cases.

Database-centric

Striim

JANUARY 4, 2023

According to them, a data contract implementation consists of the following components, as depicted below: Defining data contracts as code using open-source projects (e.g. Apache Avro) to serialize and deserialize structured data. If your data contract is broken, you can use Striim to automate sending alerts on Slack.

PostgreSQL

Rockset

OCTOBER 20, 2021

Introducing dbt Core + Rockset Back in July, we introduced our dbt-Rockset adapter for the first time which brought real-time analytics to dbt , an immensely popular open-source data transformation tool that lets teams quickly and collaboratively deploy analytics code to ship higher quality data sets. PostgreSQL or MySQL).

SQL

Monte Carlo

FEBRUARY 15, 2023

On the surface, the promise of scaling storage and processing is readily available for databases hosted on AWS RDS, GCP cloud SQL and Azure to handle these new workloads. The distinction we’re making here are tools, such as PostgreSQL that can be used as transactional databases, versus BigQuery, a data warehouse.

Data Warehouse

AltexSoft

JUNE 26, 2023

From the perspective of data science, all miscellaneous forms of data fall into three large groups: structured, semi-structured, and unstructured. Key differences between structured, semi-structured, and unstructured data. Note, though, that not any type of web scraping is legal.

Data Collection

Rockset

SEPTEMBER 20, 2022

Image Source There are several companies that enable users to analyze on-chain data, such as Dune Analytics, Nansen, Ocean Protocol, and others. Many of these services, as well as the dApps they may support, are built on transactional (OLTP) databases such as PostgreSQL, DynamoDB, MongoDB and others.

MongoDB

Silectis

JANUARY 3, 2021

Data Science Data science is a practice that uses scientific methods, algorithms and systems to find insights within structured and unstructured data. Data Visualization Graphic representation of a set or sets of data. Data Warehouse A storage system used for data analysis and reporting.

Data Engineering

Knowledge Hut

JUNE 16, 2023

Data preparation: Because of flaws, redundancy, missing numbers, and other issues, data gathered from numerous sources is always in a raw format. After the data has been extracted, data analysts must transform the unstructured data into structured data by fixing data errors, removing unnecessary data, and identifying potential data.

Programming Language

Edureka

JULY 16, 2024

Introduction Amazon Redshift, a cloud data warehouse service from Amazon Web Services (AWS), will directly query your structured and semi-structured data with SQL. Amazon Redshift is a petabyte-scale service that allows you to analyze all your data using SQL and your favorite business intelligence (BI) tools.

AWS

ProjectPro

JULY 27, 2021

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineering

ProjectPro

JUNE 6, 2025

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

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

Knowledge Hut

JANUARY 11, 2024

Data science is the field of study that deals with a huge volume of data using modern technologically driven tools and techniques to find some sort of pattern and derive meaningful information out of it that eventually helps in business and financial decisions. This work is done by financial data scientists.

Finance

ProjectPro

DECEMBER 10, 2021

Distinguish between an Azure SQL Database and a SQL managed instance. Azure SQL Database is a fully managed PaaS database server that keeps track of most database management tasks like data upgradations, patching, data backups, etc., In Azure Synapse Analytics, what does a dedicated SQL pool mean?

BI