Pickl AI

JUNE 18, 2023

Hadoop has become a highly familiar term because of the advent of big data in the digital world and establishing its position successfully. The technological development through Big Data has been able to change the approach of data analysis vehemently. What is Hadoop? Let’s find out from the blog!

Hadoop 52

Hadoop Big Data Big Data Clustering 52

Smart Data Collective

SEPTEMBER 23, 2020

Type of Data: structured and unstructured from different sources of data Purpose: Cost-efficient big data storage Users: Engineers and scientists Tasks: storing data as well as big data analytics, such as real-time analytics and deep learning Sizes: Store data which might be utilized.

Data Lakes 106

Data Lakes Data Warehouse Big Data Big Data 106

Pickl AI

JULY 20, 2023

Defining clear objectives and selecting appropriate techniques to extract valuable insights from the data is essential. Here are some project ideas suitable for students interested in big data analytics with Python: 1.

Analytics 40

Analytics Analytics Big Data Big Data 40

IBM Journey to AI blog

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning 59

Machine Learning Machine Learning Data Science Big Data 59

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. Its speed and performance make it a favored language for big data analytics, where efficiency and scalability are paramount.

Data Science 52

Data Science SQL Data Scientist Apache Hadoop 52