Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

IBM Journey to AI blog

SEPTEMBER 2, 2024

Historically, data engineers have often prioritized building data pipelines over comprehensive monitoring and alerting. Delivering projects on time and within budget often took precedence over long-term data health. Until recently, there were few dedicated data observability tools available.

Data Observability 52

Data Observability Data Pipeline Data Engineering Data Engineering 52

Pickl AI

DECEMBER 25, 2024

With data science and analytics reshaping industries, understanding the distinction between Business Analytics and Data Science is crucial for anyone navigating a career in this field. According to the US Bureau of Labor Statistics, jobs requiring data science skills will grow by 27.9%

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Pickl AI

JANUARY 16, 2024

Stay updated on trends like AI Integration, Real-time Analytics, and Blockchain for a successful Data Analyst career. With a projected 11 million job openings by 2026, the Data Analytics field in India offers unprecedented growth. Is Data Analytics and Data Analysis the Same?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Analytics 52

Pickl AI

MAY 30, 2024

It’s crucial to grasp these concepts, considering the exponential growth of the global Data Science Platform Market, which is expected to reach 26,905.36 billion INR by 2026, with a CAGR of 27.7%. Similarly, the Data and Analytics market is set to grow at a CAGR of 12.85% , reaching 15,313.99 billion INR by 2027.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52