Data Engineering Weekly

MAY 16, 2023

In the first part of this series, we talked about design patterns for data creation and the pros & cons of each system from the data contract perspective. In the second part, we will focus on architectural patterns to implement data quality from a data contract perspective. Why is Data Quality Expensive?

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Engineering Kafka Data Pipeline Data Warehouse 110

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs. Did I Ensure That Data Does Not Conflict With Itself?

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Raw Data Data Ingestion Datasets Data 49

Data Engineering Weekly

DECEMBER 3, 2023

Github writes an excellent blog to capture the current state of the LLM integration architecture. link] Microsoft: Generative AI for Beginners Understanding Gen-AI becomes a mandatory skill for application developers and data engineers. I experienced similar drawbacks to what Lyft is talking about in Druid.

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Data Engineering Data Engineer Engineering Bytes 70

LinkedIn Engineering

JANUARY 19, 2024

This multi-entity handover process involves huge amounts of data updating and cloning. Data consistency, feature reliability, processing scalability, and end-to-end observability are key drivers to ensuring business as usual (zero disruptions) and a cohesive customer experience. Push for eventual success of the request.

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Recruitment Data Process Process Kafka 88

Netflix Tech

NOVEMBER 14, 2023

In this context, managing the data, especially when it arrives late, can present a substantial challenge! In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! What is late-arriving data? Let’s dive in!

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Data Engineering Data Engineer Engineering Metadata 105

Cloudera

SEPTEMBER 26, 2023

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle.

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Kafka Technology IT Government 90

Cloudyard

APRIL 1, 2024

This blog post introduces a solution for automated warehouse size change monitoring and email alerts using Snowflake Streams and Tasks. Imagine you’re a data analyst managing a busy Snowflake account. You rely on a designated warehouse to handle your data processing needs.

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Knowledge Hut

DECEMBER 28, 2023

In this comprehensive guide, we will demystify the process of achieving the Azure Data Engineer certification. This blog will guide us through the Azure Data Engineer certification path , equipping us with insights necessary for this transformative journey. Who is an Azure Data Engineer?

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Certification Data Engineering Data Engineer Engineering 52

Christophe Blefari

JANUARY 20, 2024

He wrote some years ago 3 articles defining data engineering field. Some concepts When doing data engineering you can touch a lot of different concepts. batch — Batch processing is at the core of data engineering. One of the major task is to move data from a source storage to a destination storage.

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Data Engineering Data Engineer Engineering Hadoop 130

Databand.ai

JULY 19, 2023

Ensuring data quality and accuracy: Data lineage tools help ensure data quality and accuracy by providing a detailed view of the data’s journey. This allows businesses to identify any transformations or processes that may be compromising the data’s integrity.

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Pipeline-centric Data Governance Metadata Government 52

Knowledge Hut

DECEMBER 28, 2023

Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. It is designed to handle errors and issues efficiently, making it suitable for local computing and storage. Hadoop can store data and run applications on cost-effective hardware clusters.

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Hadoop Project Datasets Big Data 52

Knowledge Hut

MARCH 28, 2024

This demonstrates the increasing need for Microsoft Certified Data Engineers. In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

MARCH 7, 2024

This blog will get you the top ten IoT skills that will be in high demand in 2024, as well as how you may develop them through IoT online courses , projects, and certifications. However, to succeed in this domain, you need the right skills and knowledge to help you design, develop and deploy IoT applications. Development Node.js

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Cloud Computing Machine Learning Transportation Google Cloud 52

Knowledge Hut

APRIL 23, 2024

While both deal with large datasets, but when it comes to data warehouse vs big data, they have different focuses and offer distinct advantages. In this blog we will explore the fundamental differences between data warehouse and big data, highlighting their unique characteristics and benefits.

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Data Warehouse Big Data Unstructured Data Hadoop 52

Knowledge Hut

JUNE 30, 2023

This article suggests the top eight data engineer books ranging from beginner-friendly manuals to in-depth technical references. What is Data Engineering? It refers to a series of operations to convert raw data into a format suitable for analysis, reporting, and machine learning which you can learn from data engineer books.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Edureka

MARCH 5, 2024

This Blog will cover the following Topics: What Is Full Stack Web Development? In other words, full stack developers are proficient in both the technologies that power what users see and interact within their web browsers, as well as the technologies that handle data storage, user authentication, and server-side processing behind the scenes.

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MongoDB PostgreSQL MySQL Java 40

Knowledge Hut

JANUARY 18, 2024

“Big data Analytics” is a phrase that was coined to refer to amounts of datasets that are so large traditional data processing software simply can’t manage them. For example, big data is used to pick out trends in economics, and those trends and patterns are used to predict what will happen in the future.

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Data Process Process Hadoop Scala 52

Data Engineering Weekly

JUNE 18, 2023

The blog narrates LLM training options, Storage & retrieval, and the value chain to use LLM in your private data. The optimization around prefetching data with a separate thread, the decision not to support complex data types, and the complexity around Avro’s sequential block read are informative to know more about Avro.

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Data Engineering Data Engineer Engineering MySQL 52

Data Engineering Weekly

FEBRUARY 18, 2024

In a recent poll, 75% of data practitioners say either they are implementing or are thinking of implementing Data Products. Yet, there is no tool for the data producers to Define, Design, Collaborate, Test, & Continuously Monitor the Data Products.

Data Engineering 62

Data Engineering Data Engineer Engineering Data 62

Knowledge Hut

JUNE 30, 2023

This blog guides the top Google Cloud career based on your role and area of expertise, and what you will learn in each one. Roles and Responsibilities: Designing cloud-based infrastructure that satisfies the organization's needs is the responsibility of cloud engineers.

Google Cloud 52

Google Cloud Cloud Cloud Computing Certification 52

Knowledge Hut

NOVEMBER 17, 2023

Their job entails Azure data engineer skills like using big data, databases, data lakes, and analytics to help firms make efficient data-driven decisions. The DP 203 syllabus is designed by incorporating real-world business case studies and activities, you can make sure that your abilities are applicable to the workplace.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Workfall

JUNE 12, 2023

So, embrace the power of Change Data Capture, and embark on a captivating journey where the magic of real-time data awaits. In this blog, we will cover: What Is CDC and Its Benefits? CDC also plays a crucial role in data integration and ETL processes. Where Is CDC Used and Who Uses It?

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Telecommunication Metadata Healthcare Finance 80

Knowledge Hut

MARCH 26, 2024

On the other hand, AI, compared to human intelligence, is a product of human-designed algorithms, computational power, and data processing capabilities. In this blog post, I will give you a detailed comparative analysis of AI vs HI. What is AI? What is Human Intelligence?

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Algorithm Deep Learning Education Datasets 52

Knowledge Hut

SEPTEMBER 29, 2023

Moreover, what benefits can you expect from a career in Azure Data Engineering? This blog aims to answer these questions, providing a straightforward and professional insight into the world of Azure Data Engineering. Join us on this journey through the exciting realm of Azure Data Engineering.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Databand.ai

AUGUST 30, 2023

In a world where organizations rely heavily on data observability for informed decision-making, effective data testing methods are crucial to ensure high-quality standards across all stages of the data lifecycle—from data collection and storage to processing and analysis.

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Data Validation Data Integration Data Database 52

DareData

JULY 5, 2023

In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently. To overcome this challenge, many companies are turning to Data Lake solutions, which provide a centralized and scalable platform for storing, processing, and analyzing data.

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Data Lake Building Raw Data ETL Tools 52

ProjectPro

FEBRUARY 8, 2023

ETL developers play a vital role in designing, implementing, and maintaining the processes that help organizations extract valuable business insights from data. The purpose of ETL is to provide a centralized, consistent view of the data used for reporting and analysis.

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ETL Tools Data Cleanse Data Warehouse Big Data 52

Cloudera

SEPTEMBER 23, 2021

They had to increase the speed of decision-making while improving productivity, using technology and data in new ways, and accelerating the scope and scale of innovation. ” This is all about IT systems inside enterprises, which is where the data rubber meets the digital road. And it worked.”

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Data Cloud Data Collection Designing 80

Databand.ai

JULY 5, 2023

Low-quality data can result in incorrect insights and decision-making, ultimately impacting business outcomes. Data observability tools allow teams to detect issues such as missing values, duplicate records, or inconsistent formats early on before they affect downstream processes.

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Data Pipeline Data Lake Data Warehouse Datasets 52

Knowledge Hut

APRIL 25, 2023

The tremendous growth in data generation, then the rise in data engineer jobs - there’s no arguing the fact that the big data industry is at its best pace and you, as an aspiring data engineer, have a lot to learn and make out of it - including some tools! While they go about it - enter big data data engineer tools.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Towards Data Science

APRIL 30, 2024

Balancing correctness, latency, and cost in unbounded data processing Image created by the author. Implementation and designs of the model. Intro Google Dataflow is a fully managed data processing service that provides serverless unified stream and batch data processing.

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Google Cloud Process Cloud Lambda Architecture 63

Cloudera

JUNE 26, 2023

It can provide a complete solution for data exploration, data analysis, data visualization, viz applications, and model deployment at scale. Impala works best for analytical performance with properly designed datasets (well-partitioned, compacted). Visit our Data and IT Leaders page to learn more.

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ETL Tools Programming Language Datasets Data Pipeline 75

Data Engineering Weekly

AUGUST 13, 2023

link] Sponsored: Great Data Debate–The State of Data Mesh Since 2019, the data mesh has woven itself into every blog post, event presentation, and webinar. But 4 years later, in 2023 — where has the data mesh gotten us? Join us for the third annual IMPACT - The Data Observability Summit.

Data Engineering 52

Data Engineering Data Engineer Engineering Food 52

FreshBI

JANUARY 31, 2022

The objective of this blog Building reliable intelligence at the speed of business can be a challenging task. A well-designed data engineering strategy ensures that your analytics resources are spent on uncovering insights rather than laying foundations. But isn’t a data warehouse just another database?

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BI Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

JUNE 29, 2020

Summary We have machines that can listen to and process human speech in a variety of languages, but dealing with unstructured sounds in our environment is a much greater challenge. What are the unique challenges that you have faced in working with arbitrary sound data? What do you have planned for the future of the company?

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Data Collection Management High Quality Data Metadata 100

Rockset

MAY 12, 2022

This is the third post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Offloading complex analytics onto data applications.

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Analytics Application Lambda Architecture Hadoop Electronics 52