Pickl AI

SEPTEMBER 17, 2024

In addition to traditional structured data (like databases), there is a wealth of unstructured and semi-structured data (such as emails, videos, images, and social media posts). Cloud computing has emerged as a popular solution for providing scalable storage and processing capabilities.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

NOVEMBER 4, 2024

They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes. Data Modelling Data modelling is creating a visual representation of a system or database. Physical Models: These models specify how data will be physically stored in databases.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Precisely

JANUARY 19, 2023

Yet mainframes weren’t designed to integrate easily with modern distributed computing platforms. Cloud computing, object-oriented programming, open source software, and microservices came about long after mainframes had established themselves as a mature and highly dependable platform for business applications.

AWS 52

AWS Cloud Computing Data Pipeline Big Data 52

Pickl AI

APRIL 6, 2023

In-depth knowledge of distributed systems like Hadoop and Spart, along with computing platforms like Azure and AWS. Sound knowledge of relational databases or NoSQL databases like Cassandra. Answer : Microsoft Azure is a cloud computing platform and service that Microsoft provides. What is Microsoft Azure?

Azure 52

Azure Data Engineering Data Engineering Data Engineer 52

Pickl AI

JANUARY 13, 2025

Familiarity with SQL for database management. Strong understanding of database management systems (e.g., Hadoop , Apache Spark ) is beneficial for handling large datasets effectively. Salary Range: 6,00,000 – 18,00,000 per annum. Key Skills Proficiency in data visualization tools (e.g.,

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 28, 2024

Familiarity with cloud computing tools supports scalable model deployment. databases, CSV files). Knowledge of Cloud Computing and Big Data Tools As complex Machine Learning (ML) models grow, robust infrastructure for large datasets and intensive computations becomes increasingly important.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Dataconomy

FEBRUARY 23, 2023

This involves working with various data storage technologies, such as databases and data warehouses, and ensuring that the data is easily accessible and can be analyzed efficiently. Cloud computing: Cloud computing provides a scalable and cost-effective solution for managing and processing large volumes of data.

Big Data 91

Big Data Big Data Data Engineering Data Engineering 91

Data Science Dojo

MAY 24, 2024

Java is also widely used in big data technologies, supported by powerful Java-based tools like Apache Hadoop and Spark, which are essential for data processing in AI. Big Data Technologies With the growth of data-driven technologies, AI engineers must be proficient in big data platforms like Hadoop, Spark, and NoSQL databases.

Deep Learning 195

Deep Learning Deep Learning Machine Learning Machine Learning 195

Pickl AI

DECEMBER 4, 2024

A key aspect of this evolution is the increased adoption of cloud computing, which allows businesses to store and process vast amounts of data efficiently. Focus on Python and R for Data Analysis, along with SQL for database management. Embrace Cloud Computing Cloud computing is integral to modern Data Science practices.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52