Analytics Vidhya

SEPTEMBER 22, 2022

.- Dale Carnegie” Apache Kafka is a Software Framework for storing, reading, and analyzing streaming data. The post Build a Simple Realtime Data Pipeline appeared first on Analytics Vidhya. The Internet of Things(IoT) devices can generate a large […].

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Data Pipeline Apache Kafka Internet of Things Data Science 270

KDnuggets

SEPTEMBER 5, 2023

Build a streaming data pipeline using Formula 1 data, Python, Kafka, RisingWave as the streaming database, and visualize all the real-time data in Grafana.

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Data Pipeline Database Python Data Engineering 249

KDnuggets

MARCH 17, 2020

As the role of the data engineer continues to grow in the field of data science, so are the many tools being developed to support wrangling all that data. Five of these tools are reviewed here (along with a few bonus tools) that you should pay attention to for your data pipeline work.

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Data Engineering Data Engineer Data Engineering Data Engineering 327

Analytics Vidhya

JULY 10, 2022

Although data forms the basis for effective and efficient analysis, large-scale data processing requires complete data-driven import and processing techniques […]. The post All About Data Pipeline and Its Components appeared first on Analytics Vidhya.

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Analytics Vidhya

AUGUST 3, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Apache Spark is a framework used in cluster computing environments. The post Building a Data Pipeline with PySpark and AWS appeared first on Analytics Vidhya.

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Data Pipeline AWS Clustering Data Science 284

KDnuggets

MARCH 31, 2023

Learn about the differences between ETL and ELT data integration techniques and determine which is right for your data pipeline.

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Data Pipeline ETL Data Engineering Data Engineer 261

Flipboard

JUNE 22, 2023

Data engineering startup Prophecy is giving a new turn to data pipeline creation. Known for its low-code SQL tooling, the California-based company today announced data copilot, a generative AI assistant that can create trusted data pipelines from natural language prompts and improve pipeline quality …

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Data Pipeline SQL Data Engineering Data Engineer 123

Data Science Connect

JANUARY 27, 2023

Data engineering is a crucial field that plays a vital role in the data pipeline of any organization. It is the process of collecting, storing, managing, and analyzing large amounts of data, and data engineers are responsible for designing and implementing the systems and infrastructure that make this possible.

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Data Engineering Data Engineer Data Engineering Data Engineering 130

Analytics Vidhya

JULY 9, 2022

Introduction to Apache Airflow “Apache Airflow is the most widely-adopted, open-source workflow management platform for data engineering pipelines. Most organizations today with complex data pipelines to […].

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Data Pipeline Data Engineering Data Engineer Data Engineering 388

The Data Administration Newsletter

OCTOBER 17, 2023

Where exactly within an organization does the primary responsibility lie for ensuring that a data pipeline project generates data of high quality, and who exactly holds that responsibility? Who is accountable for ensuring that the data is accurate? Is it the data engineers? The data scientists?

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Data Pipeline Data Quality Data Governance Data Analyst 52

Towards AI

MARCH 21, 2023

Navigating the World of Data Engineering: A Beginner’s Guide. A GLIMPSE OF DATA ENGINEERING ❤ IMAGE SOURCE: BY AUTHOR Data or data? No matter how you read or pronounce it, data always tells you a story directly or indirectly. Data engineering can be interpreted as learning the moral of the story.

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Data Engineering Data Engineer Data Engineering Data Engineering 75

Analytics Vidhya

SEPTEMBER 22, 2022

This article was published as a part of the Data Science Blogathon. Introduction When creating data pipelines, Software Engineers and Data Engineers frequently work with databases using Database Management Systems like PostgreSQL.

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Database Data Pipeline Data Engineering Data Engineer 313

ODSC - Open Data Science

JANUARY 18, 2024

Data engineering is a rapidly growing field, and there is a high demand for skilled data engineers. If you are a data scientist, you may be wondering if you can transition into data engineering. In this blog post, we will discuss how you can become a data engineer if you are a data scientist.

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Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

FEBRUARY 6, 2024

Data engineering has become an integral part of the modern tech landscape, driving advancements and efficiencies across industries. So let’s explore the world of open-source tools for data engineers, shedding light on how these resources are shaping the future of data handling, processing, and visualization.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

AUGUST 1, 2023

Aspiring and experienced Data Engineers alike can benefit from a curated list of books covering essential concepts and practical techniques. These 10 Best Data Engineering Books for beginners encompass a range of topics, from foundational principles to advanced data processing methods. What is Data Engineering?

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Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

JANUARY 2, 2024

We couldn’t be more excited to announce two events that will be co-located with ODSC East in Boston this April: The Data Engineering Summit and the Ai X Innovation Summit. Data Engineering Summit Our second annual Data Engineering Summit will be in-person for the first time! Learn more about them below.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Read more to know.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

databricks

DECEMBER 12, 2023

Introduction Databricks Lakehouse Monitoring allows you to monitor all your data pipelines – from data to features to ML models – without additional too.

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Data Pipeline ML ML AI 294

ODSC - Open Data Science

FEBRUARY 14, 2023

We’ve just wrapped up our first-ever Data Engineering Summit. If you weren’t able to make it, don’t worry, you can watch the sessions on-demand and keep up-to-date on essential data engineering tools and skills. It will cover why data observability matters and the tactics you can use to address it today.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Mlearning.ai

APRIL 6, 2023

Automate and streamline our ML inference pipeline with SageMaker and Airflow Building an inference data pipeline on large datasets is a challenge many companies face. Airflow setup Apache Airflow is an open-source tool for orchestrating workflows and data processing pipelines. ", instance_type="ml.m5.xlarge",

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Data Science Dojo

JANUARY 27, 2023

Data Science Dojo is offering Airbyte for FREE on Azure Marketplace packaged with a pre-configured web environment enabling you to quickly start the ELT process rather than spending time setting up the environment. Free to use. Conclusion  There are a ton of small services that aren’t supported on traditional data pipeline platforms.

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Azure Data Science Data Pipeline Data Engineering 370

phData

JUNE 14, 2023

In recent years, data engineering teams working with the Snowflake Data Cloud platform have embraced the continuous integration/continuous delivery (CI/CD) software development process to develop data products and manage ETL/ELT workloads more efficiently. What Are the Benefits of CI/CD Pipeline For Snowflake?

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Data Pipeline Database SQL Data Engineering 52

Alation

JANUARY 26, 2023

That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. However, data needs to be easily accessible, usable, and secure to be useful — yet the opposite is too often the case. How can data engineers address these challenges directly?

Data Governance 52

Data Governance Data Engineering Data Engineer Data Engineering 52

ODSC - Open Data Science

DECEMBER 19, 2023

Data Engineer Data engineers are responsible for the end-to-end process of collecting, storing, and processing data. They use their knowledge of data warehousing, data lakes, and big data technologies to build and maintain data pipelines.

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Data Scientist Machine Learning Machine Learning AI 96

Data Science Dojo

APRIL 16, 2024

Chatbots and virtual assistants are some of the common applications developed by NLP engineers for modern businesses. Big data engineer Potential pay range – US$206,000 to 296,000/yr They operate at the backend to build and maintain complex systems that store and process the vast amounts of data that fuel AI applications.

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AI AI Machine Learning Machine Learning 195

Analytics Vidhya

NOVEMBER 8, 2023

In the data-driven world […] The post Monitoring Data Quality for Your Big Data Pipelines Made Easy appeared first on Analytics Vidhya. Determine success by the precision of your charts, the equipment’s dependability, and your crew’s expertise. A single mistake, glitch, or slip-up could endanger the trip.

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Alation

FEBRUARY 20, 2020

In prior blog posts challenges beyond the 3V’s and understanding data , I discussed some issues which hindered the efficiency of data analysts besides drastically raising the bar on their motivation to begin working with new data. Here, I want to drill into a few more experiences around use and management of data.

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Data Engineering Data Engineer Data Engineering Data Engineering 40

ODSC - Open Data Science

FEBRUARY 17, 2023

Cloud Computing, APIs, and Data Engineering NLP experts don’t go straight into conducting sentiment analysis on their personal laptops. Data Engineering Platforms Spark is still the leader for data pipelines but other platforms are gaining ground.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Pickl AI

OCTOBER 11, 2023

What is Data Observability? It is the practice of monitoring, tracking, and ensuring data quality, reliability, and performance as it moves through an organization’s data pipelines and systems. Data quality tools help maintain high data quality standards. Tools Used in Data Observability?

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Data Observability Data Quality Data Pipeline Data Governance 52

Dataconomy

FEBRUARY 23, 2023

Data engineers play a crucial role in managing and processing big data. They are responsible for designing, building, and maintaining the infrastructure and tools needed to manage and process large volumes of data effectively. What is data engineering?

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Data Engineering Data Engineer Data Engineering Data Engineering 91

phData

AUGUST 17, 2023

In the rapidly evolving landscape of data engineering, Snowflake Data Cloud has emerged as a leading cloud-based data warehousing solution, providing powerful capabilities for storing, processing, and analyzing vast amounts of data. What are Orchestration Tools?

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Data Engineering Data Engineer Data Engineering Data Engineering 52

Dataversity

SEPTEMBER 28, 2022

Data engineering is a fascinating and fulfilling career – you are at the helm of every business operation that requires data, and as long as users generate data, businesses will always need data engineers. The journey to becoming a successful data engineer […].

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Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

DECEMBER 14, 2023

Data Engineering vs Machine Learning Pipelines This tutorial explores the differences between how machine learning and data pipelines work, as well as what is required for each.

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ODSC - Open Data Science

OCTOBER 15, 2023

Elementl / Dagster Labs Elementl and Dagster Labs are both companies that provide platforms for building and managing data pipelines. Elementl’s platform is designed for data engineers, while Dagster Labs’ platform is designed for data scientists.

Machine Learning 52

Machine Learning Machine Learning Data Pipeline AI 52

Alation

MAY 16, 2023

But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines. What is a Data Pipeline? A data pipeline is a series of processing steps that move data from its source to its destination. The answer?

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Data Pipeline Data Governance Data Lakes Data Warehouse 69

Alation

SEPTEMBER 28, 2022

Automated testing to ensure data quality. There are many inefficiencies that riddle a data pipeline and DataOps aims to deal with that. DataOps encourages better collaboration between data professionals and other IT roles. DataOps makes processes more efficient by automating as much of the data pipeline as possible.

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DataOps Data Pipeline Data Quality Analytics 52

ODSC - Open Data Science

JANUARY 30, 2024

Data engineering is a hot topic in the AI industry right now. And as data’s complexity and volume grow, its importance across industries will only become more noticeable. But what exactly do data engineers do? So let’s do a quick overview of the job of data engineer, and maybe you might find a new interest.

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Data Engineering Data Engineer Data Engineering Data Engineering 52