Towards AI

SEPTEMBER 28, 2023

Apache Spark: Apache Spark is an open-source data processing framework for processing large datasets in a distributed manner. It leverages Apache Hadoop for both storage and processing. It does in-memory computations to analyze data in real-time. select: Projects a… Read the full blog for free on Medium.

Apache Hadoop 75

Apache Hadoop Hadoop Python SQL 75

DagsHub

OCTOBER 23, 2024

Managing unstructured data is essential for the success of machine learning (ML) projects. Apache Hadoop Apache Hadoop is an open-source framework that supports the distributed processing of large datasets across clusters of computers. Unstructured data makes up 80% of the world's data and is growing.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

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

Mlearning.ai

MAY 23, 2023

Mathematics for Machine Learning and Data Science Specialization Proficiency in Programming Data scientists need to be skilled in programming languages commonly used in data science, such as Python or R. These languages are used for data manipulation, analysis, and building machine learning models.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Women in Big Data

OCTOBER 9, 2024

These procedures are central to effective data management and crucial for deploying machine learning models and making data-driven decisions. After this, the data is analyzed, business logic is applied, and it is processed for further analytical tasks like visualization or machine learning. What is a Data Pipeline?

Big Data 59

Big Data Big Data Apache Kafka Data Pipeline 59

Pickl AI

SEPTEMBER 17, 2024

This section will highlight key tools such as Apache Hadoop, Spark, and various NoSQL databases that facilitate efficient Big Data management. Apache Hadoop Hadoop is an open-source framework that allows for distributed storage and processing of large datasets across clusters of computers using simple programming models.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

JULY 25, 2023

Proficient in programming languages like Python or R, data manipulation libraries like Pandas, and machine learning frameworks like TensorFlow and Scikit-learn, data scientists uncover patterns and trends through statistical analysis and data visualization. Big Data Technologies: Hadoop, Spark, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Analytics Vidhya

MAY 5, 2022

Introduction This article will discuss the Hadoop Distributed File System, its features, components, functions, and benefits. Hadoop is a powerful platform for supporting an enormous variety of data applications. This article was published as a part of the Data Science Blogathon. Both structured and complex data can […].

Hadoop 208

Hadoop Data Science Analytics Analytics 208

Pickl AI

SEPTEMBER 19, 2024

Hadoop, focusing on their strengths, weaknesses, and use cases. What is Apache Hadoop? Apache Hadoop is an open-source framework for processing and storing massive datasets in a distributed computing environment. MLlib (Machine Learning Library) MLlib is Spark’s scalable Machine Learning library.

Hadoop 52

Hadoop Big Data Big Data Clustering 52

Pickl AI

JULY 18, 2023

Additionally, its natural language processing capabilities and Machine Learning frameworks like TensorFlow and scikit-learn make Python an all-in-one language for Data Science. Statistical Modeling and Machine Learning : R provides a rich set of libraries and packages for statistical modeling and Machine Learning.

Data Science 52

Data Science SQL Data Scientist Python 52

Pickl AI

DECEMBER 2, 2024

These frameworks facilitate the efficient processing of Big Data, enabling organisations to derive insights quickly.Some popular frameworks include: Apache Hadoop: An open-source framework that allows for distributed processing of large datasets across clusters of computers. It is known for its high fault tolerance and scalability.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

JULY 10, 2023

It provides a comprehensive suite of tools, libraries, and packages specifically designed for statistical analysis, data manipulation, visualization, and machine learning. Packages like dplyr, data.table, and sparklyr enable efficient data processing on big data platforms such as Apache Hadoop and Apache Spark.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 4, 2024

On the other hand, Data Science involves extracting insights and knowledge from data using Statistical Analysis, Machine Learning, and other techniques. Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

MAY 31, 2023

Accordingly, there are many Python libraries which are open-source including Data Manipulation, Data Visualisation, Machine Learning, Natural Language Processing , Statistics and Mathematics. Learn probability, testing for hypotheses, regression, classification, and grouping, among other topics.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Pickl AI

NOVEMBER 25, 2024

These frameworks facilitate the efficient processing of Big Data, enabling organisations to derive insights quickly.Some popular frameworks include: Apache Hadoop: An open-source framework that allows for distributed processing of large datasets across clusters of computers. It is known for its high fault tolerance and scalability.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

AWS Machine Learning Blog

MAY 16, 2024

In this post, we share how LotteON improved their recommendation service using Amazon SageMaker and machine learning operations (MLOps). With Amazon EMR, which provides fully managed environments like Apache Hadoop and Spark, we were able to process data faster.

AWS 107

AWS ML ML Deep Learning 107

Pickl AI

JULY 29, 2024

Machine Learning and Predictive Analytics Hadoop’s distributed processing capabilities make it ideal for training Machine Learning models and running predictive analytics algorithms on large datasets. Apache Hadoop, Cloudera, Hortonworks).

Hadoop 52

Hadoop Clustering Big Data Big Data 52

Pickl AI

SEPTEMBER 11, 2024

This layer includes tools and frameworks for data processing, such as Apache Hadoop, Apache Spark, and data integration tools. Platform as a Service (PaaS) PaaS offerings provide a development environment for building, testing, and deploying Big Data applications.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

MARCH 10, 2023

Using machine learning algorithms, data from these sources can be effectively controlled and further improve the utilisation of the data. To overcome these challenges, organisations must use advanced machine learning models to enable security platforms. This has resulted in higher ends of work for the Data Scientists.

Data Scientist 52

Data Scientist Data Science Apache Hadoop Machine Learning 52

Pickl AI

JULY 20, 2023

Techniques like regression analysis, time series forecasting, and machine learning algorithms are used to predict customer behavior, sales trends, equipment failure, and more. Use machine learning algorithms to build a fraud detection model and identify potentially fraudulent transactions.

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

AUGUST 1, 2023

Data Pipeline Orchestration: Managing the end-to-end data flow from data sources to the destination systems, often using tools like Apache Airflow, Apache NiFi, or other workflow management systems. Key Benefits & Takeaways: Learn how to work with big data effectively, from storage to processing.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

IBM Journey to AI blog

JANUARY 18, 2023

They defined it as : “ A data lakehouse is a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data. ”.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

Mlearning.ai

MAY 16, 2023

The message broker can then distribute the events to various subscribers such as data processing pipelines, machine learning models, and real-time analytics dashboards. Machine learning models can subscribe to events and use the data to train and update the models in real time.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Mlearning.ai

JULY 10, 2023

In my 7 years of Data Science journey, I’ve been exposed to a number of different databases including but not limited to Oracle Database, MS SQL, MySQL, EDW, and Apache Hadoop.

SQL 52

SQL Database Apache Hadoop Data Science 52

Pickl AI

AUGUST 21, 2024

Apache Nutch A powerful web crawler built on Apache Hadoop, suitable for large-scale data crawling projects. Nutch is often used in conjunction with other Hadoop tools for big data processing. It is highly customizable and supports various data storage formats.

Apache Hadoop 52

Apache Hadoop Hadoop Database Data Quality 52

Data Science Blog

MARCH 14, 2023

In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt. Von Data Science spricht auf Konferenzen heute kaum noch jemand und wurde hype-technisch komplett durch Machine Learning bzw. Neben Supervised Learning kam auch Reinforcement Learning zum Einsatz.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

Mlearning.ai

AUGUST 18, 2023

Utilizing Big Data, the Internet of Things, machine learning, artificial intelligence consulting , etc., The implementation of machine learning algorithms enables the prediction of drug performance and side effects. allows data scientists to revolutionize the entire sector.

Data Science 52

Data Science Data Scientist Internet of Things Apache Hadoop 52

Pickl AI

FEBRUARY 23, 2025

Best Big Data Tools Popular tools such as Apache Hadoop, Apache Spark, Apache Kafka, and Apache Storm enable businesses to store, process, and analyse data efficiently. Key Features : Speed : Spark processes data in-memory, making it up to 100 times faster than Hadoop MapReduce in certain applications.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52