Hacker News

NOVEMBER 19, 2024

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More.

Hadoop 168

Hadoop Big Data Big Data AWS 168

Hacker News

JUNE 18, 2024

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More.

Hadoop 161

Hadoop Big Data Big Data AWS 161

Hacker News

NOVEMBER 13, 2023

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More.

Hadoop 177

Hadoop Big Data Big Data AWS 177

Hacker News

SEPTEMBER 9, 2024

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More.

Hadoop 153

Hadoop Big Data Big Data AWS 153

Data Science Dojo

OCTOBER 31, 2024

Additionally, knowledge of programming languages like Python or R can be beneficial for advanced analytics. Key Skills Proficiency in programming languages such as Python, Java, or C++ is essential, alongside a strong understanding of machine learning frameworks like TensorFlow or PyTorch.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Analytics Vidhya

AUGUST 26, 2022

Spark’s in-memory data processing capabilities make it 100 times faster than Hadoop. Introduction Apache Spark is an open-source unified analytics engine for large-scale data processing. It has the ability to process a huge amount of data in such a short period. The most […].

Hadoop 271

Hadoop Data Science Analytics Analytics 271

Hacker News

NOVEMBER 22, 2024

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More.

Hadoop 137

Hadoop Big Data Big Data AWS 137

Pickl AI

NOVEMBER 4, 2024

Summary: Python for Data Science is crucial for efficiently analysing large datasets. With numerous resources available, mastering Python opens up exciting career opportunities. Introduction Python for Data Science has emerged as a pivotal tool in the data-driven world. As the global Python market is projected to reach USD 100.6

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Hacker News

SEPTEMBER 25, 2024

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More.

Hadoop 133

Hadoop Big Data Big Data AWS 133

Hacker News

MARCH 4, 2025

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More.

Hadoop 123

Hadoop Big Data Big Data AWS 123

Hacker News

DECEMBER 1, 2024

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More.

Hadoop 123

Hadoop Big Data Big Data AWS 123

Hacker News

NOVEMBER 2, 2024

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More.

Hadoop 121

Hadoop Big Data Big Data AWS 121

Hacker News

SEPTEMBER 15, 2024

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More.

Hadoop 120

Hadoop Big Data Big Data AWS 120

Hacker News

MARCH 12, 2025

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More.

Hadoop 101

Hadoop Big Data Big Data AWS 101

Hacker News

MARCH 15, 2024

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More.

Hadoop 117

Hadoop Big Data Big Data AWS 117

Data Science Dojo

JULY 6, 2023

Apache Hadoop: Apache Hadoop is an open-source framework for distributed storage and processing of large datasets. Hadoop consists of the Hadoop Distributed File System (HDFS) for distributed storage and the MapReduce programming model for parallel data processing.

Data Engineer 195

Data Engineer Data Engineering Data Engineering Data Engineering 195

Pickl AI

JULY 29, 2024

Summary: A Hadoop cluster is a collection of interconnected nodes that work together to store and process large datasets using the Hadoop framework. Introduction A Hadoop cluster is a group of interconnected computers, or nodes, that work together to store and process large datasets using the Hadoop framework.

Hadoop 52

Hadoop Clustering Big Data Big Data 52

Data Science Dojo

AUGUST 27, 2024

Python, R, and SQL: These are the most popular programming languages for data science. Hadoop and Spark: These are like powerful computers that can process huge amounts of data quickly. Python, R, and SQL: These are the most popular programming languages for data science. Statistics provides the language to do this effectively.

Data Scientist 273

Data Scientist Data Science Machine Learning Machine Learning 273

Analytics Vidhya

OCTOBER 4, 2022

It is a Lucene-based search engine developed in Java but supports clients in various languages ​​such as Python, C#, Ruby, and PHP. Introduction Elasticsearch is a search platform with quick search capabilities. It takes unstructured data from multiple sources as input and stores it […].

AWS 289

AWS Data Science Python Analytics 289

Pickl AI

SEPTEMBER 19, 2024

Summary: This article compares Spark vs Hadoop, highlighting Spark’s fast, in-memory processing and Hadoop’s disk-based, batch processing model. Introduction Apache Spark and Hadoop are potent frameworks for big data processing and distributed computing. What is Apache Hadoop? What is Apache Spark?

Hadoop 52

Hadoop Big Data Big Data Clustering 52

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. However, understanding Hadoop can be critical and if you’re new to the field, you should opt for Hadoop Tutorial for Beginners. What is Hadoop? Let’s find out from the blog!

Hadoop 52

Hadoop Big Data Big Data Clustering 52

Data Science Dojo

JULY 7, 2023

In essence, coding is the process of using a language that a computer can understand to develop software, apps, websites, and more. The variety of programming languages, including Python, Java, JavaScript, and C++, cater to different project needs. Each has its niche, from web development to systems programming.

Data Science 195

Data Science Data Scientist Python Decision Trees 195

phData

APRIL 26, 2024

One common scenario that we’ve helped many clients with involves migrating data from Hive tables in a Hadoop environment to the Snowflake Data Cloud. Click Create cluster and choose software (Hadoop, Hive, Spark, Sqoop) and configuration (instance types, node count). Configure security (EC2 key pair). Find ElasticMapReduce-master.

Hadoop 52

Hadoop Clustering AWS Database 52

Smart Data Collective

OCTOBER 14, 2019

With big data careers in high demand, the required skillsets will include: Apache Hadoop. Software businesses are using Hadoop clusters on a more regular basis now. Apache Hadoop develops open-source software and lets developers process large amounts of data across different computers by using simple models. NoSQL and SQL.

Big Data 99

Big Data Big Data Apache Hadoop Hadoop 99

Data Science Dojo

AUGUST 27, 2024

Python, R, and SQL: These are the most popular programming languages for data science. Hadoop and Spark: These are like powerful computers that can process huge amounts of data quickly. Python, R, and SQL: These are the most popular programming languages for data science. Statistics provides the language to do this effectively.

Data Scientist 195

Data Scientist Data Science Machine Learning Machine Learning 195

Data Science Dojo

JULY 24, 2023

Hadoop Distributed File System (HDFS) : HDFS is a distributed file system designed to store vast amounts of data across multiple nodes in a Hadoop cluster. Example Python code snippet using MapReduce: Apache Spark Apache Spark is an open-source distributed computing system that provides an alternative to the MapReduce model.

Big Data 195

Big Data Big Data Data Engineer Data Engineering 195

Towards AI

SEPTEMBER 28, 2023

PySpark is an interface for Apache Spark in Python. With PySpark, you can write Python and SQL-like commands to manipulate and analyze data in a distributed processing environment. It leverages Apache Hadoop for both storage and processing. It does in-memory computations to analyze data in real-time.

Apache Hadoop 75

Apache Hadoop Hadoop Python SQL 75

Data Science Connect

JANUARY 27, 2023

Familiarize yourself with essential data technologies: Data engineers often work with large, complex data sets, and it’s important to be familiar with technologies like Hadoop, Spark, and Hive that can help you process and analyze this data.

Data Engineer 130

Data Engineer Data Engineering Data Engineering Data Engineering 130

Pickl AI

DECEMBER 25, 2024

Programming languages like Python and R are commonly used for data manipulation, visualization, and statistical modeling. Big data platforms such as Apache Hadoop and Spark help handle massive datasets efficiently. They master programming languages such as Python or R , statistical modeling, and machine learning techniques.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Data Science Dojo

JULY 3, 2024

They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization. Here’s a list of key skills that are typically covered in a good data science bootcamp: Programming Languages : Python : Widely used for its simplicity and extensive libraries for data analysis and machine learning.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Mlearning.ai

JANUARY 28, 2023

From Sale Marketing Business 7 Powerful Python ML For Data Science And Machine Learning need to be use. This post will outline seven powerful python ml libraries that can help you in data science and different python ml environment. A python ml library is a collection of functions and data that can use to solve problems.

Machine Learning 52

Machine Learning Machine Learning Data Science ML 52

Pickl AI

MAY 31, 2023

Python is one of the widely used programming languages in the world having its own significance and benefits. Its efficacy may allow kids from a young age to learn Python and explore the field of Data Science. Some of the top Data Science courses for Kids with Python have been mentioned in this blog for you.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Pickl AI

OCTOBER 27, 2024

Students learn to work with tools like Python, R, SQL, and machine learning frameworks, which are essential for analysing complex datasets and deriving actionable insights1. Programming Languages: Proficiency in programming languages like Python or R is crucial. This hands-on experience is invaluable in today’s tech-driven job market.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Dataconomy

JULY 24, 2023

Programming skills A proficient data scientist should have strong programming skills, typically in Python or R, which are the most commonly used languages in the field. There are numerous online platforms offering free or low-cost courses in mathematics, statistics, and relevant programming languages such as Python, R, and SQL.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Data Science 101

APRIL 12, 2019

Having a degree in Data Science, Computer Science, Mathematics, Statistics, Social Science, Engineering with additional knowledge of Python, R Programming, Hadoop increases the possibility of getting a starting position job. How can you get a job as a data scientist?

Data Scientist 110

Data Scientist Data Science DataOps Hadoop 110

Analytics Vidhya

JUNE 27, 2020

Overview There are a plethora of data science tools out there – which one should you pick up? Here’s a list of over 20. The post 22 Widely Used Data Science and Machine Learning Tools in 2020 appeared first on Analytics Vidhya.

Data Science 400

Data Science Machine Learning Machine Learning Analytics 400

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