Rockset

MARCH 18, 2024

That’s because successfully deploying an AI application requires retrieval augmented generation or “RAG” pipelines, processing real-time data streams, chunking data, generating embeddings, storing embeddings and running vector search. We walked through the basics of building an AI-powered product recommendation engine in this blog.

Cloud 64

Cloud Building Metadata Kafka 64

Cloudera

JANUARY 26, 2022

As businesses began to embrace digital transformation, more and more data was collected and stored. The Hadoop framework was developed for storing and processing huge datasets, with an initial goal to index the WWW. So private clouds, or on-premises data centers, became more suitable for sensitive data.

Cloud 85

Cloud Cloud Computing Hadoop Data Warehouse 85

Knowledge Hut

MARCH 22, 2024

In this blog post, I'll dive into the core essence of what ChatGPT is, discussing its advantages and limitations, exploring a variety of compelling use cases and understanding how to use ChatGPT. Building upon this success, OpenAI introduced GPT-2 in 2019, featuring a larger model size and improved performance.

Education 52

Education Data Analysis Coding Datasets 52

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Databand — Data pipeline performance monitoring and observability for data engineering teams. .

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

Databand.ai

DECEMBER 13, 2022

Currently, he helps companies define data-driven architecture and build robust data platforms in the cloud to scale their business using Microsoft Azure. Deepak regularly shares blog content and similar advice on LinkedIn.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Scott Logic

JANUARY 24, 2023

This is the fourth in a series of blog posts in which I reflect on those discussions. You can read the first three posts in the series here: ‘ Why you should get the right people in the room from the start ’, ‘ Rules help you go faster ’ and ‘ How data literacy gives leaders the edge ’.

Food 40

Food Government Banking Datasets 40

ProjectPro

SEPTEMBER 16, 2021

Top 30 SQL Interview Questions for Data Analyst to Prepare in 2023 A data analyst is like a translator between the database and the other data science team members. This makes SQL a crucial skill to master before appearing for any data analyst interview. Also, assume that each first name in the dataset is distinct.

SQL 52

SQL MySQL MongoDB Data 52