Data Science Blog

JUNE 21, 2023

Process Mining demands Big Data in 99% of the cases, releasing bad developed extraction jobs will end in big cost chunks down the value stream. Process Mining – Data Extraction The data extraction for process mining should be well planed and match the data strategy of the organization.

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Hacker News

JULY 18, 2024

ABOUT EVENTUAL Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI. OUR PRODUCT IS OPEN-SOURCE AND USED AT ENTERPRISE SCALE Our distributed data engine Daft [link] is open-sourced and runs on 800k CPU cores daily.

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Pickl AI

JANUARY 27, 2025

Summary: HDFS in Big Data uses distributed storage and replication to manage massive datasets efficiently. By co-locating data and computations, HDFS delivers high throughput, enabling advanced analytics and driving data-driven insights across various industries. It fosters reliability. between 2024 and 2030.

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Pickl AI

JUNE 7, 2024

Summary: Choosing the right ETL tool is crucial for seamless data integration. Top contenders like Apache Airflow and AWS Glue offer unique features, empowering businesses with efficient workflows, high data quality, and informed decision-making capabilities. Choosing the right ETL tool is crucial for smooth data management.

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Becoming Human

JANUARY 23, 2023

Data Science You heard this term most of the time all over the internet, as well this is the most concerning topic for newbies who want to enter the world of data but don’t know the actual meaning of it. I’m not saying those are incorrect or wrong even though every article has its mindset behind the term ‘ Data Science ’.

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AWS Machine Learning Blog

FEBRUARY 18, 2025

To handle the log data efficiently, raw logs were centralized into an Amazon Simple Storage Service (Amazon S3) bucket. An Amazon EventBridge schedule checked this bucket hourly for new files and triggered log transformation extract, transform, and load (ETL) pipelines built using AWS Glue and Apache Spark.

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Flipboard

JUNE 26, 2023

Transform raw insurance data into CSV format acceptable to Neptune Bulk Loader , using an AWS Glue extract, transform, and load (ETL) job. When the data is in CSV format, use an Amazon SageMaker Jupyter notebook to run a PySpark script to load the raw data into Neptune and visualize it in a Jupyter notebook.

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Flipboard

DECEMBER 11, 2024

load("s3://aws-blogs-artifacts-public/artifacts/BDB-4798/data/venue.csv") df1.show() load("s3://aws-blogs-artifacts-public/artifacts/BDB-4798/data/events.csv") df2_renamed = df2.withColumnsRenamed( load("s3://aws-blogs-artifacts-public/artifacts/BDB-4798/data/venue.csv") df1.show() Big Data Architect.

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AWS Machine Learning Blog

FEBRUARY 2, 2024

The embeddings are captured in Amazon Simple Storage Service (Amazon S3) via Amazon Kinesis Data Firehose , and we run a combination of AWS Glue extract, transform, and load (ETL) jobs and Jupyter notebooks to perform the embedding analysis. Set the parameters for the ETL job as follows and run the job: Set --job_type to BASELINE.

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Dataconomy

OCTOBER 17, 2023

In this blog post, we’ll examine what is data warehouse architecture and what exactly constitutes good data warehouse architecture as well as how you can implement one successfully without needing some kind of computer science degree!

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phData

OCTOBER 9, 2023

However, to harness the full potential of Snowflake’s performance capabilities, it is essential to adopt strategies tailored explicitly for data vault modeling. Hash keys provide all key types’ best data load performance, consistency, and audibility.

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phData

AUGUST 9, 2023

If you’ve been watching how Snowflake Data Cloud has been growing and changing over the years, you’ll see that two tools have made very large impacts on the Modern Data Stack: Fivetran and dbt. In short, ELT exemplifies the data strategy required in the era of big data, cloud, and agile analytics.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Previously, he was a Data & Machine Learning Engineer at AWS, where he worked closely with customers to develop enterprise-scale data infrastructure, including data lakes, analytics dashboards, and ETL pipelines.

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Pickl AI

MARCH 19, 2025

Data engineering is all about collecting, organising, and moving data so businesses can make better decisions. Handling massive amounts of data would be a nightmare without the right tools. In this blog, well explore the best data engineering tools that make data work easier, faster, and more reliable.

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Alation

FEBRUARY 20, 2020

Publishing used to be the province of big newspapers. With blogs, anyone can now write and distribute an article and with message boards anyone can post an advertisement. Business Intelligence used to require months of effort from BI and ETL teams. Today, however, the gal that knows the data could be half-way around the world.

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Data Science Dojo

JULY 3, 2024

In this blog, we will explore the arena of data science bootcamps and lay down a guide for you to choose the best data science bootcamp. What do Data Science Bootcamps Offer? Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud.

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Data Science Blog

FEBRUARY 4, 2023

Or maybe you are interested in an individual data strategy ? The post How Cloud Data Platforms improve Shopfloor Management appeared first on Data Science Blog. Then get in touch with me!

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Pickl AI

JULY 30, 2024

Its architecture includes FlowFiles, repositories, and processors, enabling efficient data processing and transformation. With a user-friendly interface and robust features, NiFi simplifies complex data workflows and enhances real-time data integration. Its visual interface allows users to design complex ETL workflows with ease.

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Alation

JANUARY 17, 2023

A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Reverse ETL tools. Data orchestration tools. These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means.

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Pickl AI

JUNE 11, 2024

But raw data alone isn’t enough to gain valuable insights. This is where data warehouses come in – powerful tools designed to transform raw data into actionable intelligence. This blog delves into the world of data warehouses, exploring their functionality, key features, and the latest innovations.

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Pickl AI

JULY 6, 2023

Hive is a powerful data warehousing infrastructure that provides an interface for querying and analyzing large datasets stored in Hadoop. In this blog, we will explore the key aspects of Hive Hadoop. Hive is a data warehousing infrastructure built on top of Hadoop. Here comes the role of Hive in Hadoop. What is Hadoop ?

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

Hosted on Amazon ECS with tasks run on Fargate, this platform streamlines the end-to-end ML workflow, from data ingestion to model deployment. This blog post delves into the details of this MLOps platform, exploring how the integration of these tools facilitates a more efficient and scalable approach to managing ML projects.

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Pickl AI

JULY 25, 2023

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

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ODSC - Open Data Science

APRIL 4, 2024

Data Analytics in the Age of AI, When to Use RAG, Examples of Data Visualization with D3 and Vega, and ODSC East Selling Out Soon Data Analytics in the Age of AI Let’s explore the multifaceted ways in which AI is revolutionizing data analytics, making it more accessible, efficient, and insightful than ever before.

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IBM Journey to AI blog

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

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AWS Machine Learning Blog

AUGUST 2, 2024

About the authors Vicente Cruz Mínguez is the Head of Data & Advanced Analytics at Cepsa Química. He has more than 8 years of experience with big data and machine learning projects in financial, retail, energy, and chemical industries. The following diagram illustrates this architecture.

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Pickl AI

JANUARY 28, 2025

Introduction Business Intelligence (BI) architecture is a crucial framework that organizations use to collect, integrate, analyze, and present business data. This architecture serves as a blueprint for BI initiatives, ensuring that data-driven decision-making is efficient and effective.

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Pickl AI

JANUARY 15, 2025

As businesses increasingly rely on data-driven strategies, the global BI market is projected to reach US$36.35 The rise of big data, along with advancements in technology, has led to a surge in the adoption of BI tools across various sectors.

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Alation

FEBRUARY 20, 2020

With the year coming to a close, many look back at the headlines that made major waves in technology and big data – from Spark to Hadoop to trends in data science – the list could go on and on. However, most are only deployed over one data store (Hadoop or other various backends). Subscribe to Alation's Blog.

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Pickl AI

APRIL 6, 2023

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

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AWS Machine Learning Blog

NOVEMBER 29, 2023

For instance, a notebook that monitors for model data drift should have a pre-step that allows extract, transform, and load (ETL) and processing of new data and a post-step of model refresh and training in case a significant drift is noticed.

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phData

JUNE 26, 2023

Tableau, owned by Salesforce, is a leading tool for data visualization, allowing users to create interactive dashboards and reports for better data understanding and decision-making. While both these tools are powerful on their own, their combined strength offers a comprehensive solution for data analytics.

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Pickl AI

NOVEMBER 15, 2023

Data scientists can explore, experiment, and derive valuable insights without the constraints of a predefined structure. This capability empowers organizations to uncover hidden patterns, trends, and correlations in their data, leading to more informed decision-making. What Is a Data Warehouse? What is meant by Data Lake?

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AWS Machine Learning Blog

APRIL 24, 2023

Amazon Comprehend training workflow To start the training the Amazon Comprehend model, we need to prepare the training data. When the Amazon S3 training data is ready, we can trigger AWS Step Functions as the orchestration tool to run the training job, and we pass the S3 path into the Step Functions state machine.

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AWS Machine Learning Blog

AUGUST 21, 2023

Our customers wanted the ability to connect to Amazon EMR to run ad hoc SQL queries on Hive or Presto to query data in the internal metastore or external metastore (such as the AWS Glue Data Catalog ), and prepare data within a few clicks. Isha Dua is a Senior Solutions Architect based in the San Francisco Bay Area.

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The MLOps Blog

MARCH 15, 2023

Talend Overview While Talend’s Open Studio for Data Integration is free-to-download software to start a basic data integration or an ETL project, it also comes powered with more advanced features which come with a price tag. Pricing It is free to use and is licensed under Apache License Version 2.0.

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AWS Machine Learning Blog

MARCH 5, 2025

About the authors Samantha Stuart is a Data Scientist with AWS Professional Services, and has delivered for customers across generative AI, MLOps, and ETL engagements. He collaborates closely with enterprise customers building modern data platforms, generative AI applications, and MLOps.

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