Smart Data Collective

OCTOBER 14, 2019

For current and future software development companies that want to be knowledgeable about using data and analysis, a few big data skillsets will help give them leverage in the coming year. Big Data Skillsets. From artificial intelligence and machine learning to blockchains and data analytics, big data is everywhere.

Big Data 99

Big Data Big Data Apache Hadoop Hadoop 99

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. These models may include regression, classification, clustering, and more.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

JULY 18, 2023

Thus allowing database administrators to control access to data and grant specific privileges to users or user groups. Read Blog Advanced SQL Tips and Tricks for Data Analysts 4. It includes statistical analysis, predictive modeling, Machine Learning, and data mining techniques.

Data Science 52

Data Science SQL Data Scientist Python 52

Pickl AI

JULY 20, 2023

Client segmentation Segment clients based on their behavior, tastes, and demographics by analyzing customer data from numerous sources. Create customized marketing efforts for each market sector by using clustering algorithms or machine learning techniques to group customers with similar characteristics.

Analytics 40

Analytics Analytics Big Data Big Data 40