Start Data Engineering

OCTOBER 3, 2021

What is a data warehouse 4. OLTP vs OLAP based data warehouses 5. Introduction If you are a student, analyst, engineer, or anyone in the data space, it’s important to understand what a data warehouse is. If you are wondering What is a data warehouse? Conclusion 6.

Data Warehouse 130

Data Warehouse Data Engineering IT 130

Seattle Data Guy

FEBRUARY 1, 2023

Recently several consulting calls started with people asking, “Do we need a data warehouse?” ” This isn’t a question about whether you need data warehouse consultants, but instead whether you should event start a data warehouse project. Not every company needs a data warehouse.

Data Warehouse 130

Data Warehouse Consulting Data Project 130

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 »

Data Warehouse 57

Data Warehouse Data Science Data Data Architecture 57

Data Engineering Podcast

JUNE 25, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake. Support Data Engineering Podcast RudderStack also supports real-time use cases.

Data Engineering 225

Data Engineering Data Engineer Python Engineering 225

Data Engineering Podcast

FEBRUARY 5, 2023

In that time there have been a number of generational shifts in how data engineering is done. Sign up now for early access to Materialize and get started with the power of streaming data with the same simplicity and low implementation cost as batch cloud data warehouses.

Data Engineering 147

Data Engineering Data Engineer Engineering PostgreSQL 147

Seattle Data Guy

JANUARY 12, 2023

A data warehouse consultant plays an important role in companies looking to become data-driven. They help companies design and deploy centralized data sets that are easy to use and reliable. But in order to understand why you need a data warehouse consultant we should take a step back.

Consulting 130

Consulting Data Warehouse Data Designing 130

Start Data Engineering

MAY 11, 2022

Data lake structure 5. Loading user purchase data into the data warehouse 5.2 Loading classified movie review data into the data warehouse 5.3 Prerequisite 4.2 AWS Infrastructure costs 4.3 Code walkthrough 5.1 Generating user behavior metric 5.4. Checking results 6. Tear down infra 7. Next steps 9.

Data Engineering 246

Data Engineering Data Engineer Project Data Lake 246

Data Engineering Podcast

JUNE 4, 2023

Summary A significant portion of the time spent by data engineering teams is on managing the workflows and operations of their pipelines. Agile Data Engine is a platform designed to handle the infrastructure side of the DataOps equation, as well as providing the insights that you need to manage the human side of the workflow.

Data Engineering 130

Data Engineering Data Engineer Engineering Data Lake 130

Towards Data Science

JANUARY 28, 2024

How I organize everything in my new data warehouse Continue reading on Towards Data Science »

Data Warehouse 65

Data Warehouse Designing Data Science Data 65

Data Engineering Weekly

AUGUST 25, 2024

Try For Free → Conference Alert: Data Engineering for AI/ML This is a virtual conference at the intersection of Data and AI. Instead, you will see engineers, product managers, and founders talking about the data engineering practices of AI/ML. It is not a conference for the hype.

Data Engineering 70

Data Engineering Data Engineer Engineering Database-centric 70

Data Engineering Weekly

JUNE 10, 2024

Experience Enterprise-Grade Apache Airflow Astro augments Airflow with enterprise-grade features to enhance productivity, meet scalability and availability demands across your data pipelines, and more. Databricks and Snowflake offer a data warehouse on top of cloud providers like AWS, Google Cloud, and Azure.

Data Engineering 103

Data Engineering Data Engineer Engineering Kafka 103

Analytics Vidhya

APRIL 3, 2023

Real-time dashboards such as GCP provide strong data visualization and actionable information for decision-makers. Nevertheless, setting up a streaming data pipeline to power such dashboards may […] The post Data Engineering for Streaming Data on GCP appeared first on Analytics Vidhya.

Data Engineering 251

Data Engineering Data Engineer Engineering Data 251

Data Engineering Podcast

MAY 13, 2021

Summary There is a lot of attention on the database market and cloud data warehouses. While they provide a measure of convenience, they also require you to sacrifice a certain amount of control over your data. Firebolt is the fastest cloud data warehouse. Visit dataengineeringpodcast.com/firebolt to get started.

PostgreSQL 100

PostgreSQL Data Warehouse Building MySQL 100

Jesse Anderson

DECEMBER 12, 2022

Big data projects were given to data scientists and data warehouse teams, where the projects subsequently failed. As clearly evident as that sounds now, my writing about needing data engineering went heavily against the grain of everything that was written at the time. Some people blamed the technologies.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Data Engineering Weekly

OCTOBER 6, 2024

The key benefits are Improved data quality, Enhanced data governance Increased security Cost efficiency [link] HomeToGo: How HomeToGo improved our Superset Monitoring Framework Apache Superset is the most popular open-source BI tool in the industry. “text-to-SQL” and “text-to-insight.”

Data Engineering 62

Data Engineering Data Engineer Engineering Data Warehouse 62

Netflix Tech

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineering 81

Data Engineering Data Engineer Engineering Data Warehouse 81

Seattle Data Guy

AUGUST 2, 2023

A few months ago, I uploaded a video where I discussed data warehouses, data lakes, and transactional databases. However, the world of data management is evolving rapidly, especially with the resurgence of AI and machine learning.

Data Lake 130

Data Lake Data Warehouse Data Machine Learning 130

Start Data Engineering

OCTOBER 12, 2021

Introduction Responsibilities of a data engineer 1. Move data between systems 2. Manage data warehouse 3. Schedule, execute, and monitor data pipelines 4. Serve data to the end-users 5. Data strategy for the company 6.

Data Engineering 130

Data Engineering Data Engineer Engineering Data Warehouse 130

Simon Späti

MARCH 9, 2021

This post focuses on practical data pipelines with examples from web-scraping real-estates, uploading them to S3 with MinIO, Spark and Delta Lake, adding some Data Science magic with Jupyter Notebooks, ingesting into Data Warehouse Apache Druid, visualising dashboards with Superset and managing everything with Dagster.

Data Engineering 189

Data Engineering Data Engineer Engineering Project 189

Start Data Engineering

AUGUST 17, 2021

Batch Data Pipelines 1.1 Process => Data Warehouse 1.2 Process => Cloud Storage => Data Warehouse 2. Near Real-Time Data pipelines 2.1 Data Stream => Consumer => Data Warehouse 2.2

Data Warehouse 130

Data Warehouse Cloud Storage Data Pipeline Data 130

Start Data Engineering

APRIL 12, 2022

Introduction Data lakes and data warehouses Data lake Data warehouse Criteria to choose lake and warehouse tools Conclusion Further reading References Introduction With the data ecosystem growing fast, new terms are coming up every week.

Data Lake 130

Data Lake Data Warehouse Data 130

Hepta Analytics

FEBRUARY 24, 2022

Examples of such systems are: ATM Shopping cart MoMo ticket systems OLAP on the other hand is used for data analysis. Data is aggregated from multiple sources and used by the business team to make decisions. Data structure and schema is defined in advance. The main goal is to become the single source of truth in an organization.

Data Warehouse 52

Data Warehouse Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

JANUARY 1, 2022

In this episode Emily Riederer shares her work to create a controlled vocabulary for managing the semantic elements of the data managed by her team and encoding it in the schema definitions in her data warehouse. star/snowflake schema, data vault, etc.)

Data Warehouse 100

Data Warehouse BI Data Workflow Data Engineering 100

KDnuggets

OCTOBER 30, 2023

A comparative overview of data warehouses, data lakes, and data marts to help you make informed decisions on data storage solutions for your data architecture.

Data Lake 129

Data Lake Data Warehouse Data Storage Data 129

Towards Data Science

MAY 8, 2023

Data Warehouse Dimensional Modeling Design 101 Continue reading on Towards Data Science »

Data Warehouse 67

Data Warehouse Data Engineering Data Engineer Building 67

Data Engineering Podcast

FEBRUARY 8, 2021

In this episode Zeeshan Qureshi and Michelle Ark share their experiences using DBT to manage the data warehouse for Shopify. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. What kinds of data sources are you working with?

Data Warehouse 100

Data Warehouse Building BI SQL 100

Data Engineering Weekly

MAY 26, 2024

The idea will infact open flexibility in programming data over the SQL-based data warehouse systems. A closer look at the OBTs Star Schema vs OBT (One Big Table) data modeling is another ongoing debate in data engineering practitioners. and why one prefer dataframe over sql.

Data Engineering 76

Data Engineering Data Engineer Engineering Google Cloud 76

Data Engineering Weekly

SEPTEMBER 22, 2024

I’m fairly confident that a framework that supports a deterministic way of building a data pipeline and a conversational way of building business logic is the future of data pipeline engineering. link] Sponsored: IMPACT - Have you seen the agenda for IMPACT: The Data Observability Summit yet?

Data Engineering 70

Data Engineering Data Engineer Engineering Data Lake 70

Data Engineering Weekly

SEPTEMBER 2, 2024

Try For Free → Conference Alert: Data Engineering for AI/ML This is a virtual conference at the intersection of Data and AI. Instead, you will see engineers, product managers, and founders talking about the data engineering practices of AI/ML. It is not a conference for the hype.

Data Engineering 67

Data Engineering Data Engineer Engineering Entertainment 67

Acceldata

FEBRUARY 16, 2023

Why Data Engineers Must Manage Data Pipelines, Not Data Warehouses

Data Warehouse 52

Data Warehouse Data Pipeline Data Engineering Data Engineer 52

Data Engineering Podcast

AUGUST 31, 2020

Summary Data warehouse technology has been around for decades and has gone through several generational shifts in that time. The current trends in data warehousing are oriented around cloud native architectures that take advantage of dynamic scaling and the separation of compute and storage.

Data Warehouse 100

Data Warehouse Cloud Building Data Lake 100

Cloudera

JULY 11, 2023

Apache Impala is a distributed C++ backed SQL engine that integrates with Kudu to serve BI results over millions of rows meeting sub-second service-level agreements. Cloudera offers Apache Kudu to run in Real Time DataMart Clusters , and Apache Impala to run in Kubernetes in the Cloudera Data Warehouse form factor.

Data Warehouse 70

Data Warehouse Pharmaceutical BI Banking 70

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. These patterns include both centralized storage patterns like data warehouse , data lake and data lakehouse , and distributed patterns such as data mesh.

Data Lake 94

Data Lake Data Warehouse Cloud Unstructured Data 94

Towards Data Science

JULY 26, 2024

Learn from Software Engineers and Discover the Joy of ‘Worse is Better’ Thinking source: unsplash.com Recently, I have had the fortune of speaking to a number of data engineers and data architects about the problems they face with data in their businesses. That was it. So, What the Heck is Radical Simplicity?

Data Engineering 59

Data Engineering Data Engineer Engineering Data Warehouse 59

Data Engineering Podcast

DECEMBER 8, 2019

Summary Data warehouses have gone through many transformations, from standard relational databases on powerful hardware, to column oriented storage engines, to the current generation of cloud-native analytical engines. How does it compare to the other available platforms for data warehousing?

Data Warehouse 100

Data Warehouse Cloud AWS Relational Database 100

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.

Data Engineering 83

Data Engineering Data Engineer Engineering Data Lake 83

Data Engineering Podcast

MAY 27, 2021

Summary The data warehouse has become the focal point of the modern data platform. With increased usage of data across businesses, and a diversity of locations and environments where data needs to be managed, the warehouse engine needs to be fast and easy to manage.

Data Warehouse 100

Data Warehouse Cloud PostgreSQL Kafka 100