article thumbnail

Top 5 must-have Data Science skills for 2020

KDnuggets

The standard job description for a Data Scientist has long highlighted skills in R, Python, SQL, and Machine Learning. With the field evolving, these core competencies are no longer enough to stay competitive in the job market.

article thumbnail

Introduction to Elasticsearch using Python

Analytics Vidhya

Introduction Elasticsearch is primarily a document-based NoSQL database, meaning developers do not need any prior knowledge of SQL to use it. This article was published as a part of the Data Science Blogathon. Still, it is much more than just a NoSQL database.

Python 318
professionals

Sign Up for our Newsletter

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

article thumbnail

Best Used Servers for Databases and Cloud Computing

Smart Data Collective

Investing in the Best Servers for Cloud Computing. Organizations that need servers for their databases or cloud computing can’t just go out and buy the first option that presents itself, though. What to look for in a server to meet your cloud computing needs. MS SQL Server. Server configuration.

article thumbnail

Becoming a Data Engineer: 7 Tips to Take Your Career to the Next Level

Data Science Connect

Learn SQL: As a data engineer, you will be working with large amounts of data, and SQL is the most commonly used language for interacting with databases. Understanding how to write efficient and effective SQL queries is essential.

article thumbnail

Why using Infrastructure as Code for developing Cloud-based Data Warehouse Systems?

Data Science Blog

With the evolution of cloud computing, many organizations are now migrating their Data Warehouse Systems to the cloud for better scalability, flexibility, and cost-efficiency. So why using IaC for Cloud Data Infrastructures? Infrastructure as Code (IaC) can be a game-changer in this scenario.

article thumbnail

TigerEye (YC S22) Is Hiring a Full Stack Engineer

Hacker News

Here are a few of the things that you might do as an AI Engineer at TigerEye: - Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams - Own training, integration, deployment, versioning, and monitoring of ML components - Improve TigerEye’s existing metrics collection and (..)

article thumbnail

Understanding Cloud Computing Security Architecture

Pickl AI

Summary: Cloud computing security architecture is essential for protecting sensitive data, ensuring compliance, and preventing threats. As technology advances, AI, machine learning, and blockchain play vital roles in strengthening cloud security frameworks to safeguard businesses against evolving risks. from 2024 to 2030.