Remove Apache Kafka Remove Azure Remove Natural Language Processing
article thumbnail

Ask HN: Who wants to be hired? (July 2025)

Hacker News

NET, Typescript / Javascript (inc Node), React, Vue, Laravel (php) SQL (t-SQL mostly) Unity (as a hobby) Azure Management (pretty much every major product in Azure) some exp in AWS as well and doing Salesforce (apex) integrations. Familiar with cloud systems administration on AWS, GCP, and Azure. CCNA, SCSA, MCP.

Python 54
article thumbnail

Predicting the Future of Data Science

Pickl AI

Enhanced Data Visualisation: Augmented analytics tools often incorporate natural language processing (NLP), allowing users to query data in conversational terms and receive visualised insights instantly. With the advent of technologies like edge computing and stream processing frameworks (e.g.,

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

A Comprehensive Guide to the main components of Big Data

Pickl AI

Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease. In-Memory Databases: Databases such as Redis store data in memory for lightning-fast access and processing speeds.

article thumbnail

A Comprehensive Guide to the Main Components of Big Data

Pickl AI

Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease. In-Memory Databases: Databases such as Redis store data in memory for lightning-fast access and processing speeds.

article thumbnail

How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

Popular data lake solutions include Amazon S3 , Azure Data Lake , and Hadoop. Data Processing Tools These tools are essential for handling large volumes of unstructured data. They assist in efficiently managing and processing data from multiple sources, ensuring smooth integration and analysis across diverse formats.