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 93

Data Analysis PostgreSQL Data Science Machine Learning 93

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 82

PostgreSQL Database Entertainment SQL 82

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

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 52

Database Relational Database Algorithm PostgreSQL 52

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 100

Data Warehouse Cloud Building Data Lake 100

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

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

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 Data Lake 52

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 40

AWS Data Warehouse Amazon Web Services Business Intelligence 40

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

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

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 Database 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 Data Science Data Analytics Cloud Computing 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

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

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

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

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