Towards Data Science

DECEMBER 4, 2023

A Glossary with Use Cases for First-Timers in Data Engineering An happy Data Engineer at work Are you a data engineering rookie interested in knowing more about modern data infrastructures? In this guide Data Engineering meets Formula 1. Data models are built around business needs.

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Data Engineering Data Engineer Engineering Data Lake 81

Databand.ai

JUNE 28, 2023

Data Pipeline Observability: A Model For Data Engineers Eitan Chazbani June 29, 2023 Data pipeline observability is your ability to monitor and understand the state of a data pipeline at any time. We believe the world’s data pipelines need better data observability. To measure, but not track.

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Data Pipeline Data Engineering Data Engineer Engineering 98

AltexSoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

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Data Engineering Data Engineer Engineering Machine Learning 98

Data Engineering Weekly

AUGUST 6, 2024

TL;DR Aswin and I are thrilled to announce the release of the first version of our comprehensive guide for evaluating Change Data Capture. Why CDC is More Relevant in Unified Data Architecture As we advance into the Gen AI era, Change Data Capture (CDC) systems are emerging as crucial components of the ever-evolving data architecture.

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Data Lake Data Warehouse Database Data Architecture 126

Towards Data Science

JULY 30, 2024

Rethinking data warehousing: Why redefinition is necessary even beyond Modern Data Warehouse (MDW) and Lakehouse Models Continue reading on Towards Data Science »

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Data Warehouse Data Science Data Data Architecture 55

Data Engineering Podcast

JUNE 17, 2023

By incorporating column-level lineage in the data modeling process it encourages a more robust and well-informed design. In this episode Satish Jayanthi explores the benefits of incorporating column-aware tooling in the data modeling process. RudderStack also supports real-time use cases.

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Data Lake Machine Learning Metadata Data Architecture 130

Data Engineering Podcast

SEPTEMBER 23, 2018

This includes modeling the lifecycle of your information as a pipeline from the raw, messy, loosely structured records in your data lake, through a series of transformations and ultimately to your data warehouse. Can you walk through the stages of an ideal lifecycle for data within the context of an organizations uses for it?

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Data Lake Data Warehouse Data Architecture Architecture 100

Monte Carlo

OCTOBER 31, 2024

One job that has become increasingly popular across enterprise data teams is the role of the AI data engineer. Demand for AI data engineers has grown rapidly in data-driven organizations. But what does an AI data engineer do? Table of Contents What Does an AI Data Engineer Do?

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Data Engineering Data Engineer Engineering Unstructured Data 52

Monte Carlo

APRIL 16, 2022

The data warehouse is the foundation of the modern data stack, so it caught our attention when we saw Convoy head of data Chad Sanderson declare, “ the data warehouse is broken ” on LinkedIn. Treating data like an API. Immutable data warehouses have challenges too.

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Data Warehouse Architecture Data Data Architect 52

Data Engineering Podcast

APRIL 3, 2022

Coalesce is a platform designed to reduce repetitive work for common workflows by adopting a visual pipeline builder to support your data warehouse transformations. In this episode Satish Jayanthi explains how he is building a framework to allow enterprises to move quickly while maintaining guardrails for data workflows.

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Data Warehouse Data Workflow Data Architecture SQL 100

Snowflake

FEBRUARY 21, 2023

In this Q&A, we hear from Nico Acosta, CEO and Co-Founder of Propel, about how his company is building an API platform to equip developers to build with data, and why data architecture is the most important technical decision a company will make. We fully align with Snowflake’s vision of the Data Cloud.

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AWS Building Raw Data Architecture 125

Knowledge Hut

MARCH 28, 2024

Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 All these numbers point to one thing–increased job roles and careers, especially when we talk about data engineering jobs in Azure, which are on the rise every year. Let’s get started.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. The past decades of enterprise data platform architectures can be summarized in 69 words. Introduction to Data Mesh. The product includes data and operations.

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Pharmaceutical Data Lake Data Architecture Architecture 98

Knowledge Hut

JULY 5, 2024

Large enterprises heavily rely on data for informed decision-making, and this reliance is where data engineers step in. Data engineers like myself play a pivotal role in assessing infrastructure and taking relevant actions. Looking ahead, the future of data engineering appears promising.

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Data Engineering Data Engineer Engineering Hadoop 52

Silectis

JANUARY 22, 2021

For those using a robust analytics database, such as the Snowflake® Data Cloud , adding the power of a data engineering platform can help maximize the value you’re getting out of that database. This is an important piece of a modern and reliable data architecture. Magpie can help.

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Data Engineering Data Engineer Engineering Data Warehouse 52

Data Engineering Podcast

JULY 3, 2022

She also discusses her views on the role of the data lakehouse as a building block for these architectures and the ongoing influence that it will have as the technology matures. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

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Architecture Metadata MongoDB Data Warehouse 100

Data Engineering Podcast

OCTOBER 2, 2021

He also discusses the technical implementation that allows for such extreme performance and how the data model contributes to the scalability of the system. If you need to deal with massive data, at high velocities, in milliseconds, then Aerospike is definitely worth learning about.

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Building BI Data Architecture Architecture 100

Data Engineering Podcast

JUNE 16, 2019

This conversation was useful for getting a better idea of the challenges that exist in large scale data analytics, and the current state of the tradeoffs between data lakes and data warehouses in the cloud. Support the show and get your data projects in order!

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Data Lake Lambda Architecture Data Warehouse Hadoop 100

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Supercharge your data lakehouse, make it open.

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Data Lake Business Intelligence Metadata Data Warehouse 94

Data Engineering Podcast

AUGUST 20, 2021

Summary Data lakes have been gaining popularity alongside an increase in their sophistication and usability. Despite improvements in performance and data architecture they still require significant knowledge and experience to deploy and manage. The data you’re looking for is already in your data warehouse and BI tools.

Building 100

Building Data Lake Data Warehouse SQL 100

Data Engineering Podcast

AUGUST 12, 2019

Summary The extract and load pattern of data replication is the most commonly needed process in data engineering workflows. Fivetran is a platform that does the hard work for you and replicates information from your source systems into whichever data warehouse you use.

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Media Data Warehouse Data Big Data 100

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

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Data Lake Data Warehouse BI SQL 98

Towards Data Science

JANUARY 16, 2024

When I heard the words ‘decentralised data architecture’, I was left utterly confused at first! In my then limited experience as a Data Engineer, I had only come across centralised data architectures and they seemed to be working very well. Result: Data warehouse was born. So what was missing?

Data Warehouse 63

Data Warehouse Data Architecture Relational Database NoSQL 63

Monte Carlo

NOVEMBER 22, 2024

Your data engineering pipeline started simple: a few CSV exports, some Python scripts, and manual updates every week. You’re left wondering if there’s a breaking point where your DIY data solution won’t cut it anymore—and honestly, you might be there already. It means you’re scaling!

Data Engineering 52

Data Engineering Data Engineer Building Engineering 52

Data Engineering Podcast

NOVEMBER 18, 2019

Summary With the constant evolution of technology for data management it can seem impossible to make an informed decision about whether to build a data warehouse, or a data lake, or just leave your data wherever it currently rests. How does it influence the relevancy of data warehouses or data lakes?

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Data Lake Scala Data Warehouse Hadoop 100

Knowledge Hut

JUNE 30, 2023

The demand for experienced data engineers continuously expands in today's data-driven environment. Books on data engineering serve as essential resources to guide you through the vast terrain of data engineering. What is Data Engineering? Who are Data Engineers?

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Data Engineering Data Engineer Engineering Data Warehouse 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. Contents: What is the role of an Azure Data Engineer?

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Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Let us understand here the complete big data engineer roadmap to lead a successful Data Engineering Learning Path.

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Data Engineering Data Engineer Engineering Non-relational Database 52

Data Engineering Weekly

DECEMBER 11, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. It's the year's end, so there is plenty of 2023 predictions in Data Engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Silectis

JANUARY 3, 2021

If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. Big Query Google’s cloud data warehouse.

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Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

NOVEMBER 17, 2023

The demand for data-related professions, including data engineering, has indeed been on the rise due to the increasing importance of data-driven decision-making in various industries. Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice.

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Data Engineering Data Engineer Engineering Scala 52

Advancing Analytics: Data Engineering

JULY 2, 2019

The data engineer is an emerging role that’s rapidly growing in popularity… but what is it? The Data Science Engineer Let’s start with the original idea of the Data Engineer, the support of Data Science functions by providing clean data in a reliable, consistent manner, likely using big data technologies.

Business Intelligence 52

Business Intelligence Data Engineering Data Engineer Engineering 52

Ascend.io

FEBRUARY 28, 2024

The rise of generative AI is changing more than just technology; it’s reshaping our professional landscapes — and yes, data engineering is directly experiencing the impact. How does AI recalibrate the workload and priorities of data teams? How can data engineers harness the power of AI?

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Data Engineering Data Engineer Engineering Metadata 52

Data Engineering Podcast

JULY 22, 2019

Summary The current trend in data management is to centralize the responsibilities of storing and curating the organization’s information to a data engineering team. This organizational pattern is reinforced by the architectural pattern of data lakes as a solution for managing storage and access.

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Data Lake Hadoop Data Architecture 100

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. Data Engineer certification will aid in scaling up you knowledge and learning of data engineering.

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Data Engineering Data Engineer Engineering Generalist 52

Monte Carlo

NOVEMBER 21, 2022

What’s next for the future of data engineering? Each year, we chat with one of our industry’s pioneering leaders about their predictions for the modern data stack – and share a few of our own. billion in four years, which underscores the terrific demand there is for cloud data warehouses.

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Data Engineering Data Engineer Engineering Data Warehouse 52

Data Engineering Podcast

JUNE 3, 2019

He also discusses how the abstractions provided by DataCoral allows his data scientists to remain productive without requiring dedicated data engineers. Data Engineering Podcast listeners get 2 months free on any plan by going to dataengineeringpodcast.com/clubhouse today and signing up for a free trial.

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Media Data Pipeline Machine Learning Data Science 100