Towards Data Science

FEBRUARY 9, 2024

This involves getting data from an API and storing it in a PostgreSQL database. In the second phase, we’ll develop an application that uses a language model to interact with this database. The second article, which will come later, will delve into creating agents using tools like LangChain to communicate with external databases.

Kafka 75

Kafka Data Engineering Data Engineer PostgreSQL 75

DoorDash Engineering

FEBRUARY 22, 2023

Note: A few months back, our peers at the DashMart engineering team released an article elaborating on how they used CockroachDB changefeed to support real-time inventory changes. Database table optimization As we added more metrics on each step, we found the database access to be a significant bottleneck.

Designing 124

Designing Database Architecture SQL 124

ProjectPro

OCTOBER 8, 2021

Yes, it is possible if you connect to SQL Box or a premise database. That way, the Power BI report is directly connected to the database in the backend. It is only possible in the first place if the Power BI is connected to a supported database source for live query or any analysis service.

BI 52

BI Datasets Certification SQL 52

Knowledge Hut

SEPTEMBER 29, 2023

Parameter Power BI Excel Purpose Data visualization and business intelligence Data organization and basic analysis Data Sources Wide range of sources (databases, cloud, etc.) It can connect to diverse facts assets, inclusive of cloud-primarily based offerings and databases, and handle real-time data streams.

BI 52

BI Business Intelligence Datasets Data Analysis 52

dbt Developer Hub

MAY 16, 2022

By default, dbt will use your model file name as the view or table name in the database. But this means the name has a life outside of dbt and supports the many end users who will potentially never know about dbt and where this data came from, but still access the database objects in the database or business intelligence (BI) tool.

BI 52

BI Data Warehouse Database SQL 52

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). System for querying online databases.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

MARCH 19, 2015

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. What follows is an elaborate discussion on SQL vs. NoSQL-Why NoSQL has empowered many big data applications today. Table of Contents Can the conventional SQL scale up to these requirements?

NoSQL 49

NoSQL Big Data SQL Database-centric 49