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

NOVEMBER 4, 2024

The global Big Data and Data Engineering Services market, valued at USD 51,761.6 This article explores the key fundamentals of Data Engineering, highlighting its significance and providing a roadmap for professionals seeking to excel in this vital field. ETL is vital for ensuring data quality and integrity.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Precisely

MARCH 9, 2023

Data warehouse vs. data lake, each has their own unique advantages and disadvantages; it’s helpful to understand their similarities and differences. In this article, we’ll focus on a data lake vs. data warehouse. It is often used as a foundation for enterprise data lakes.

Data Warehouse 59

Data Warehouse Data Lakes Hadoop Big Data 59

Pickl AI

JULY 25, 2023

Two prominent roles that play a crucial part in this data-driven landscape are Data Scientists and Data Engineers. Data Quality and Governance Ensuring data quality is a critical aspect of a Data Engineer’s role. Data Warehousing: Amazon Redshift, Google BigQuery, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Mlearning.ai

JULY 10, 2023

In my 7 years of Data Science journey, I’ve been exposed to a number of different databases including but not limited to Oracle Database, MS SQL, MySQL, EDW, and Apache Hadoop. A lot of you who are already in the data science field must be familiar with BigQuery and its advantages.

SQL 52

SQL Database Apache Hadoop Data Science 52

Pickl AI

JULY 18, 2023

Programming for Data Science enables Data Scientists to analyze vast amounts of data and extract meaningful information. There are different programming languages and in this article, we will explore 8 programming languages that play a crucial role in the realm of Data Science.

Data Science 52

Data Science SQL Data Scientist Python 52

Mlearning.ai

MAY 16, 2023

Data engineering is a rapidly growing field that designs and develops systems that process and manage large amounts of data. There are various architectural design patterns in data engineering that are used to solve different data-related problems.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52