Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Knowledge is power. Sharing knowledge is the key to unlocking that power.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon.

Data Science 345

Data Science Analytics Analytics Apache Hadoop 345

Smart Data Collective

NOVEMBER 8, 2020

Spark outperforms old parallel systems such as Hadoop, as it is written using Scala and helps interface with other programming languages and other tools such as Dask. Learn Cloud Computing. The importance of cloud computing in data engineering cannot be avoided. Data processing is often done in batches.

Data Engineering 104

Data Engineering Data Engineer Data Engineering Data Engineering 104

Analytics Vidhya

JANUARY 8, 2023

Hey, are you the data science geek who spends hours coding, learning a new language, or just exploring new avenues of data science? If all of these describe you, then this Blogathon announcement is for you! Analytics Vidhya is back with its 28th Edition of blogathon, a place where you can share your knowledge about […].

Data Science 328

Data Science Analytics Analytics Hadoop 328

Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. Hadoop, Snowflake, Databricks and other products have rapidly gained adoption.

Data Warehouse 59

Data Warehouse Data Lakes Hadoop Big Data 59

Analytics Vidhya

OCTOBER 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction Elasticsearch is a search platform with quick search capabilities. It is a Lucene-based search engine developed in Java but supports clients in various languages ​​such as Python, C#, Ruby, and PHP.

AWS 289

AWS Data Science Python Analytics 289

Precisely

JULY 26, 2024

Data scientists who work with Hadoop or Spark can certainly remember when those platforms came out; they’re still quite new compared to mainframes. But few of the people who work with mainframes today can recall when the first old mainframe computer came out.

Big Data Analytics 98

Big Data Analytics Big Data Analytics Hadoop Cloud Computing 98

phData

JUNE 12, 2024

I ensure the infrastructure is optimized and scalable, provide customer support, and help diagnose and fix issues in various Hadoop environments. Through ongoing research and learning, I keep up with the latest trends and technologies in DevOps, cloud computing, and automation. Outside of work, what's your life like?

Hadoop 52

Hadoop Clustering Cloud Computing 52

Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

SEPTEMBER 17, 2024

Cloud computing has emerged as a popular solution for providing scalable storage and processing capabilities. This section will highlight key tools such as Apache Hadoop, Spark, and various NoSQL databases that facilitate efficient Big Data management.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 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

Smart Data Collective

SEPTEMBER 26, 2019

For instance, technologies like cloud-based analytics and Hadoop helps in storing large data amounts which would otherwise cost a fortune. As a result, businesses are able to get solutions that help them make smart business moves, improve efficiency, and improve customer satisfaction. Agile Development.

Big Data 102

Big Data Big Data Database Analytics 102

Pickl AI

NOVEMBER 4, 2024

Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage. Apache Hadoop Hadoop is a powerful framework that enables distributed storage and processing of large data sets across clusters of computers.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Mlearning.ai

MAY 23, 2023

Check out this course to build your skillset in Seaborn —  [link] Big Data Technologies Familiarity with big data technologies like Apache Hadoop, Apache Spark, or distributed computing frameworks is becoming increasingly important as the volume and complexity of data continue to grow.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JANUARY 13, 2025

Hadoop , Apache Spark ) is beneficial for handling large datasets effectively. Cloud Computing Skills Familiarize yourself with cloud platforms like AWS , Google Cloud , or Microsoft Azure to manage infrastructure and deploy AI models efficiently. Salary Range : 8,00,000 – 25,00,000 per annum.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 28, 2024

Familiarity with cloud computing tools supports scalable model deployment. 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

Some of these solutions include: Distributed computing: Distributed computing systems, such as Hadoop and Spark, can help distribute the processing of data across multiple nodes in a cluster. 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 Engineer 91

Pickl AI

APRIL 6, 2023

In-depth knowledge of distributed systems like Hadoop and Spart, along with computing platforms like Azure and AWS. Answer : Microsoft Azure is a cloud computing platform and service that Microsoft provides. Strong programming language skills in at least one of the languages like Python, Java, R, or Scala.

Azure 52

Azure Data Engineering Data Engineer Data Engineering 52

IBM Journey to AI blog

JULY 6, 2023

Today, machine learning has evolved to the point that engineers need to know applied mathematics, computer programming, statistical methods, probability concepts, data structure and other computer science fundamentals, and big data tools such as Hadoop and Hive.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

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 Machine Learning Machine Learning Deep Learning 195

Dataconomy

MARCH 19, 2025

Hadoop as a Service (HaaS) offers a compelling solution for organizations looking to leverage big data analytics without the complexities of managing on-premises infrastructure. As businesses increasingly turn to cloud computing, HaaS emerges as a vital option, providing flexibility and scalability in data processing and storage.

Hadoop 91

Hadoop Big Data Big Data Big Data Analytics 91

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. Gain Experience with Big Data Technologies With the rise of Big Data, familiarity with technologies like Hadoop and Spark is essential.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

ODSC - Open Data Science

MARCH 5, 2025

Once defined by statistical models and SQL queries, todays data practitioners must navigate a dynamic ecosystem that includes cloud computing, software engineering best practices, and the rise of generative AI. In the ever-expanding world of data science, the landscape has changed dramatically over the past two decades.

Data Science 52

Data Science Cloud Computing SQL Machine Learning 52