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Data exploration covers collection, processing, storage, and analysis. Extracting valuable insights from the collected data informs decision-making processes and enhances overall business intelligence.

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DATA

Self-hosted LLM: insights and practical deployment strategies

This comprehensive guide brings LLMs closer, offering a deep dive into their fundamentals and practical insights into deploying your own LLM.
Łukasz Rogalski

Łukasz Rogalski

on Mar 18, 2024
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NETWORKS
DATA

Long-term time series forecasting: an insight into the methods

In this article, we describe the use case and reasoning for long-term traffic forecasting, next we focus on the methods we used, and discuss alternative approaches and challenges to overcome.
Mariusz Budziński

Mariusz Budziński

on Jan 23, 2024
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DATA

What is data pipeline architecture? Definition and overview

Data pipelines are crucial in our data-driven world because they automate the flow of information, making it easier for businesses and organizations to make informed decisions, detect trends, and provide better services.
Arkadiusz Kordos

Arkadiusz Kordos

on Jan 10, 2024
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DATA

Data cleaning techniques: Strategies for reliable data analysis

Data cleaning is a critical component of data analysis, essential for ensuring the accuracy and reliability of the results. This process involves refining data by fixing or removing errors and inconsistencies, a key step for maintaining the integrity of data-driven insights. However, this task presents various challenges. Analysts often face issues like missing values, which can lead to biased outcomes, outliers that may distort the analysis, and irregularities in data formats. If these issues are not properly addressed, they can significantly diminish the effectiveness of data analysis. Therefore, data cleaning is not merely a preliminary step; it is an integral part of producing trustworthy and actionable data insights.
Katarzyna Hewelt

Katarzyna Hewelt

on Jan 3, 2024
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DATA

Effective cloud-based data management

Cloud data management is how organizations handle big data. Learn about the benefits and challenges of storing and processing data in the cloud.
Tomasz Jędrośka

Tomasz Jędrośka

on Dec 22, 2023
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CLOUD
DATA

What is a cloud data lake? Definition and use cases

Cloud data lakes are efficient and scalable data storage systems using the power of cloud computing. Discover their benefits and use cases in our article.
Karolina Rusinowicz

Karolina Rusinowicz

on Dec 18, 2023
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DATA

[interview] Beyond bits and bytes — insights from data science

While navigating this data-rich environment, the question arises: How can organizations harness the potential within this vast ocean of information to stay competitive and meet the dynamic needs of modern customers?
Multiple authors

Multiple authors

on Dec 11, 2023
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DATA

Understanding big data infrastructure: essentials and challenges

In today's data-driven world, organizations are gathering vast amounts of information at an unprecedented rate. This phenomenon has led to the birth and rapid evolution of "big data", a term that describes data sets so large and complex that they cannot be processed using traditional data management tools
Katarzyna Hewelt

Katarzyna Hewelt

on Dec 7, 2023
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DATA

Cloud-based ETL and data integration tools

Modern organizations are constantly seeking innovative solutions to streamline their data processes, and cloud-based ETL (extract, transform, load) tools can help with achieving that goal.
Tomasz Jędrośka

Tomasz Jędrośka

on Nov 13, 2023
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DATA

What is a large language model? LLM explained

Large language models are powerful algorithms taking the tech world by storm. Read the article to learn what they can be used for and how they work.
Tomasz Jędrośka

Tomasz Jędrośka

on Nov 6, 2023
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