Pickl AI

MARCH 19, 2025

Python, SQL, and Apache Spark are essential for data engineering workflows. Real-time data processing with Apache Kafka enables faster decision-making. A data engineer creates and manages the pipelines that transfer data from different sources to databases or cloud storage. What Does a Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 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. Statistics : According to AWS reports, EMR reduces the time required for Big Data processing tasks by up to 90% compared to traditional methods.

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AWS Machine Learning Blog

NOVEMBER 3, 2023

m How it’s implemented In our quest to accurately determine shot speed during live matches, we’ve implemented a cutting-edge solution using Amazon Managed Streaming for Apache Kafka (Amazon MSK). We’ve implemented an AWS Lambda function with the specific task of retrieving the calculated shot speed from the relevant Kafka topic.

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AWS Apache Kafka Data Scientist Data Science 130

Data Science Dojo

JULY 24, 2023

Its characteristics can be summarized as follows: Volume : Big Data involves datasets that are too large to be processed by traditional database management systems. databases), semi-structured data (e.g., Amazon S3: Amazon Simple Storage Service (S3) is a scalable object storage service provided by Amazon Web Services (AWS).

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Big Data Big Data Data Engineering Data Engineer 195

Women in Big Data

OCTOBER 9, 2024

Components of a Big Data Pipeline Data Sources (Collection): Data originates from various sources, such as databases, APIs, and log files. Examples include transactional databases, social media feeds, and IoT sensors. This phase ensures quality and consistency using frameworks like Apache Spark or AWS Glue.

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Big Data Big Data Apache Kafka Data Pipeline 59

AWS Machine Learning Blog

OCTOBER 9, 2024

Additionally, you will learn how to configure the Amazon Q Business application and enable user authentication through AWS IAM Identity Center , which is a recommended service for managing a workforce’s access to AWS applications. Permission to access your AWS Secrets Manager secret to authenticate your data source connector instance.

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AWS Apache Kafka Data Scientist Database Administration 129

AWS Machine Learning Blog

APRIL 19, 2023

Streaming ingestion – An Amazon Kinesis Data Analytics for Apache Flink application backed by Apache Kafka topics in Amazon Managed Streaming for Apache Kafka (MSK) (Amazon MSK) calculates aggregated features from a transaction stream, and an AWS Lambda function updates the online feature store.

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ML ML Apache Kafka SQL 98

Pickl AI

JULY 25, 2024

From extracting information from databases and spreadsheets to ingesting streaming data from IoT devices and social media platforms, It’s the foundation upon which data-driven initiatives are built. Apache Kafka An open-source platform designed for real-time data streaming. It supports both batch and real-time processing.

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Pickl AI

SEPTEMBER 18, 2024

It utilises Amazon Web Services (AWS) as its main data lake, processing over 550 billion events daily—equivalent to approximately 1.3 Data in Motion Technologies like Apache Kafka facilitate real-time processing of events and data, allowing Netflix to respond swiftly to user interactions and operational needs. petabytes of data.

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Big Data Big Data Apache Kafka 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

DagsHub

OCTOBER 23, 2024

Data can come from different sources, such as databases or directly from users, with additional sources, including platforms like GitHub, Notion, or S3 buckets. Vector Databases Vector databases help store unstructured data by storing the actual data and its vector representation. mp4,webm, etc.), and audio files (.wav,mp3,acc,

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Pickl AI

DECEMBER 4, 2024

Apache Kafka), organisations can now analyse vast amounts of data as it is generated. Focus on Python and R for Data Analysis, along with SQL for database management. Understanding real-time data processing frameworks, such as Apache Kafka, will also enhance your ability to handle dynamic analytics.

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Data Science Data Scientist Machine Learning Machine Learning 52

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. Talend Free to use.

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Data Pipeline ETL SQL Data Quality 59

AWS Machine Learning Blog

MARCH 30, 2023

Bundesliga and AWS have collaborated to perform an in-depth examination to study the quantification of achievements of Bundesliga’s keepers. The BMF logic itself (except for the ML model) runs on an AWS Fargate container. This Bundesliga Match Fact was developed among a team of Bundesliga and AWS experts.

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Machine Learning Machine Learning AWS ML 103

The MLOps Blog

AUGUST 11, 2023

Apache Kafka, Amazon Kinesis) 2 Data Preprocessing (e.g., The exploration of common machine learning pipeline architecture and patterns starts with a pattern found in not just machine learning systems but also database systems, streaming platforms, web applications, and modern computing infrastructure. 1 Data Ingestion (e.g.,

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ML ML Machine Learning Machine Learning 52

phData

MAY 15, 2025

How to implement a real-time analytics use case using AWS and Snowflake. Technologies Involved: Streaming Tools and Platforms: Snowpipe , AWS Kinesis, Apache Kafka, Apache Flink, Google Pub/Sub, etc. Databases & Data Stores: Snowflake, AWS Redshift, Apache Druid, ClickHouse, etc.

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