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 52

Database-centric PostgreSQL Transportation Insurance 52

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 69

Data Warehouse SQL PostgreSQL Database 69

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 52

PostgreSQL Data Warehouse Data Lake Data 52

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 52

SQL PostgreSQL MongoDB NoSQL 52

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.

PostgreSQL 52

PostgreSQL MongoDB SQL Datasets 52

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 52

Programming Language Cloud Computing Data Preparation Data Science 52

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 40

Data Engineering Data Engineer Engineering Hadoop 40

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 40

MongoDB PostgreSQL SQL Database 40

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 52

NoSQL Database-centric Relational Database PostgreSQL 52

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 52

Database SQL NoSQL Raw Data 52

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 52

Database NoSQL Management Relational Database 52

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 80

PostgreSQL Database Entertainment SQL 80

Data Engineering Weekly

FEBRUARY 12, 2023

I believe the current data testing platforms can’t support the complex nature of data testing. The Dropbox data team highlights the same problem. It describes how an extended Airflow operator that adopts the Write-Audit-Publish pattern with SQL helps to standardize the data testing strategy.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

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 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

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 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

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 52

BI Cloud Computing SQL Database 52

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 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

APRIL 26, 2016

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 40

Hadoop Metadata SQL Database 40

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 93

Finance Data Science Programming Language Machine Learning 93

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 Unstructured Data 40