Hacker Earth Developers Blog

APRIL 5, 2020

In our first episode of Breaking 404 , a podcast bringing to you stories and unconventional wisdom from engineering leaders of top global organizations around the globe, we caught up with Ajay Sampat , Sr. Engineering Manager, Lyft to understand the challenges that engineering teams across domains face while tackling large user traffic.

Engineering Management 190

Engineering Management Engineering Mobile Culture 190

CIO

APRIL 11, 2023

Sarah Betadam, an experienced digital executive who, as presently the company’s CIO and CISO, is charged with delivering transformational solutions that scale operations and improve business agility, but she also helps drive business strategies and global objectives. The problem, however, is finding experienced IT and business talent.

Healthcare 246

Healthcare Analytics Agile Strategy 246

TechCrunch

DECEMBER 24, 2020

The best way to track your developers’ progress automatically is by using Git Analytics tools, which track the performance of individuals by aggregating historical Git data and then feeding that information back to managers in minute detail. Another example is that of an engineer who is dipping their toe into multiple projects.

Software Review 312

Software Review Development Data Engineering 312

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. Informatica Cloud and Informatica PowerCenter are cloud data management tools that work collaboratively with Snowflake.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Abhishek Tiwari

JULY 20, 2019

ERP engineering squad - supply chain planning, purchase order management, product lifecycle management, merchandise planning, etc. Back-office engineering squad - customer support, business intelligence, real-estate management, systems for finance & HR, etc.

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

DataRobot

SEPTEMBER 6, 2022

Everyone needs to work together to achieve value, from business intelligence experts, data scientists, and process modelers to machine learning engineers, software engineers, business analysts, and end users. Data science teams cannot create a model and “throw it over the fence” to another team.

Artificial Inteligence 52

Artificial Inteligence Analytics Data Machine Learning 52