Apache Kafka, Python and SQL - Data Science Current

Apache Kafka

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Apache Kafka and Apache Flink: An open-source match made in heaven

IBM Journey to AI blog

NOVEMBER 3, 2023

Apache Kafka and Apache Flink working together Anyone who is familiar with the stream processing ecosystem is familiar with Apache Kafka: the de-facto enterprise standard for open-source event streaming. With Apache Kafka, you get a raw stream of events from everything that is happening within your business.

Apache Kafka

Apache Kafka Data Warehouse Data Pipeline Big Data

Real-Time Sentiment Analysis with Kafka and PySpark

Towards AI

FEBRUARY 29, 2024

Within this article, we will explore the significance of these pipelines and utilise robust tools such as Apache Kafka and Spark to manage vast streams of data efficiently. Apache Kafka Apache Kafka is a distributed event streaming platform used for building real-time data pipelines and streaming applications.

Apache Kafka

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The 2nd Generation of Innovation Management: A Survival Guide

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Big data engineering simplified: Exploring roles of distributed systems

Data Science Dojo

JULY 24, 2023

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. The MapReduce model is particularly suitable for data-intensive tasks like data cleaning, transformation, and aggregation.

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The 2nd Generation of Innovation Management: A Survival Guide

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22 Widely Used Data Science and Machine Learning Tools in 2020

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.

Machine Learning

Machine Learning Machine Learning Data Science Analytics

Apache Flink for all: Making Flink consumable across all areas of your business

IBM Journey to AI blog

AUGUST 29, 2024

The unique advantages of Apache Flink Apache Flink augments event streaming technologies like Apache Kafka to enable businesses to respond to events more effectively in real time. Integration: Integrates seamlessly with other data systems and platforms, including Apache Kafka, Spark, Hadoop and various databases.

Apache Kafka

Apache Kafka Hadoop ETL Data Pipeline

Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time

AWS Machine Learning Blog

APRIL 19, 2023

Most publicly available fraud detection datasets don’t provide this information, so we use the Python Faker library to generate a set of transactions covering a 5-month period. Apache Flink is a popular framework and engine for processing data streams. The application is written using Apache Flink SQL.

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

NOVEMBER 4, 2024

Various types of storage options are available, including: Relational Databases: These databases use Structured Query Language (SQL) for data management and are ideal for handling structured data with well-defined relationships. Python Known for its simplicity and versatility, Python is widely used for data manipulation and analysis.

Data Engineering

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Unveiling Developers’ Technologies and Tools Usage in Large and Small and Medium-sized Enterprises…

Mlearning.ai

AUGUST 4, 2023

Apache Kafka and R abbitMQ are particularly popular in LEs. In LEs, alongside PostgreSQL , MySQL , Microsoft SQL Server , SQLite , MongoDB , and Redis also enjoy high patronage. Graph 7: Percentage of Programming Languages MiscTech Tools In Both LEs and SMEs: ‘. NET (5+) ’, ‘ pandas ’, ‘ numpy ’, and ‘. NET Framework (1.0–4.8)’

Database

Database Apache Kafka SQL AI

7 Best Machine Learning Workflow and Pipeline Orchestration Tools 2024

DagsHub

APRIL 7, 2024

Thanks to its various operators, it is integrated with Python, Spark, Bash, SQL, and more. Also, while it is not a streaming solution, we can still use it for such a purpose if combined with systems such as Apache Kafka. This also means that it comes with a large community and comprehensive documentation.

Machine Learning

Machine Learning Machine Learning ML ML

Build Data Pipelines: Comprehensive Step-by-Step Guide

Pickl AI

JULY 8, 2024

Database Extraction: Retrieval from structured databases using query languages like SQL. Tools such as Python’s Pandas library, Apache Spark, or specialised data cleaning software streamline these processes, ensuring data integrity before further transformation.

Data Pipeline

Data Pipeline Data Quality Database Apache Kafka

Comparing Tools For Data Processing Pipelines

The MLOps Blog

MARCH 15, 2023

Typical examples include: Airbyte Talend Apache Kafka Apache Beam Apache Nifi While getting control over the process is an ideal position an organization wants to be in, the time and effort needed to build such systems are immense and frequently exceeds the license fee of a commercial offering. Cons Limited connectors.

Data Pipeline

Data Pipeline ETL SQL Data Quality

Big Data Syllabus: A Comprehensive Overview

Pickl AI

AUGUST 9, 2024

Apache Spark A fast, in-memory data processing engine that provides support for various programming languages, including Python, Java, and Scala. Understanding the differences between SQL and NoSQL databases is crucial for students. Spark is known for its speed and ease of use compared to Hadoop’s MapReduce.

Big Data

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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

OCTOBER 23, 2024

Here’s the structured equivalent of this same data in tabular form: With structured data, you can use query languages like SQL to extract and interpret information. Apache Kafka Apache Kafka is a distributed event streaming platform for real-time data pipelines and stream processing.

Machine Learning

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Predicting the Future of Data Science

Pickl AI

DECEMBER 4, 2024

Apache Kafka), organisations can now analyse vast amounts of data as it is generated. Grasp the Fundamentals of Data Analysis and Management Build a strong foundation in Data Analysis by learning data manipulation techniques using SQL and Excel. Focus on Python and R for Data Analysis, along with SQL for database management.

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Data Science Current

Apache Kafka and Apache Flink: An open-source match made in heaven

Real-Time Sentiment Analysis with Kafka and PySpark

Webinars

Trending Sources

Big data engineering simplified: Exploring roles of distributed systems

Webinars

22 Widely Used Data Science and Machine Learning Tools in 2020

Apache Flink for all: Making Flink consumable across all areas of your business

Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time

Top Big Data Interview Questions for 2025

Discover the Most Important Fundamentals of Data Engineering

Unveiling Developers’ Technologies and Tools Usage in Large and Small and Medium-sized Enterprises…

7 Best Machine Learning Workflow and Pipeline Orchestration Tools 2024

Build Data Pipelines: Comprehensive Step-by-Step Guide

Comparing Tools For Data Processing Pipelines

Big Data Syllabus: A Comprehensive Overview

How to Manage Unstructured Data in AI and Machine Learning Projects

Predicting the Future of Data Science

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