Jesse Anderson

DECEMBER 12, 2022

They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. Hadoop was hard to program, and Apache Hive came along in 2010 to add SQL. With an immutable file system like HDFS, we needed scalable databases to read and write data randomly.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Analytics Vidhya

MARCH 14, 2023

This results in the generation of so much data daily. This generated data is stored in the database and will maintain it. SQL is a structured query language used to read and write these databases.

SQL 202

SQL Database Technology Data 202

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

Analytics Vidhya

FEBRUARY 27, 2023

So, we are […] The post How to Normalize Relational Databases With SQL Code? If a corrupted, unorganized, or redundant database is used, the results of the analysis may become inconsistent and highly misleading. appeared first on Analytics Vidhya.

Relational Database 255

Relational Database Database SQL Coding 255

Data Engineering Podcast

FEBRUARY 18, 2024

Summary A data lakehouse is intended to combine the benefits of data lakes (cost effective, scalable storage and compute) and data warehouses (user friendly SQL interface). Data lakes are notoriously complex. Visit: dataengineeringpodcast.com/data-council today. Your first 30 days are free!

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

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

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 84

Data Lake Data Warehouse Cloud Unstructured Data 84

Towards Data Science

JUNE 6, 2023

It runs locally, has extensive SQL support and can run queries directly on Pandas data, Parquet, JSON data. The fact it’s insanely fast and does (mostly) all processing in memory make it a good choice for building my personal data warehouse. Extra points for its seamless integration with Python and R.

Data Warehouse 93

Data Warehouse Data SQL Data Analysis 93

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 Coding 100

Data Science Blog: Data Engineering

SEPTEMBER 19, 2023

In the contemporary age of Big Data, Data Warehouse Systems and Data Science Analytics Infrastructures have become an essential component for organizations to store, analyze, and make data-driven decisions. So why using IaC for Cloud Data Infrastructures?

Data Warehouse 52

Data Warehouse Coding Systems Cloud 52

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 Podcast

MAY 1, 2022

He describes how the platform is architected, the challenges related to selling cloud technologies into enterprise organizations, and how you can adopt Matillion for your own workflows to reduce the maintenance burden of data integration workflows. Go to dataengineeringpodcast.com/atlan today and sign up for a free trial.

Data Warehouse 100

Data Warehouse Data Integration Cloud Google Cloud 100

Towards Data Science

DECEMBER 1, 2023

Architecture Referencing Joe Reis’s “Fundamentals of Data Engineering,” let’s review our project in alignment with the defined stages of the data lifecycle: Data Engineering Lifecycle [1] Data Generation —  Google Calendar, Fivetran If you’re a Google Calendar user, chances are you’ve accumulated a wealth of data there.

Data Engineering 74

Data Engineering Data Engineer Project Engineering 74

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? And many more. And many more.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Data Engineering Podcast

DECEMBER 26, 2021

Summary Data Engineering is still a relatively new field that is going through a continued evolution as new technologies are introduced and new requirements are understood. In this episode Maxime Beauchemin returns to revisit what it means to be a data engineer and how the role has changed over the past 5 years.

Data Engineering 100

Data Engineering Data Engineer Engineering Data Warehouse 100

Data Engineering Podcast

OCTOBER 14, 2019

Summary Managing a data warehouse can be challenging, especially when trying to maintain a common set of patterns. They provide an AWS-native, serverless, data infrastructure that installs in your VPC. Datacoral helps data engineers build and manage the flow of data pipelines without having to manage any infrastructure.

Data Warehouse 100

Data Warehouse PostgreSQL AWS Programming Language 100

Towards Data Science

AUGUST 19, 2023

How I made the transition to an analytics engineer Photo by Campaign Creators on Unsplash A few years ago, I was at a point where I was feeling unfulfilled in my career. I had been working in data engineering for three years and the initial excitement of starting in the world of tech had faded.

Data Engineering 85

Data Engineering Data Engineer Engineering SQL 85

Christophe Blefari

MARCH 1, 2023

dbt Core is an open-source framework that helps you organise data warehouse SQL transformation. dbt was born out of the analysis that more and more companies were switching from on-premise Hadoop data infrastructure to cloud data warehouses. This switch has been lead by modern data stack vision.

Data Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

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

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

Data Engineering Podcast

OCTOBER 28, 2021

He also explains why he started Decodable to address that limitation and the work that he and his team have done to let data engineers build streaming pipelines entirely in SQL. Missing data? Start trusting your data with Monte Carlo today! No more scripts, just SQL. Struggling with broken pipelines?

Data Pipeline 100

Data Pipeline SQL Data Warehouse Data Lake 100

Monte Carlo

AUGUST 25, 2023

Different vendors offering data warehouses, data lakes, and now data lakehouses all offer their own distinct advantages and disadvantages for data teams to consider. So let’s get to the bottom of the big question: what kind of data storage layer will provide the strongest foundation for your data platform?

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

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

FEBRUARY 24, 2023

The Chaos Data-Engineering Manifesto Another lesson we can learn from software engineers: break stuff to make it more reliable. While this idea isn’t completely foreign to data engineering, it can certainly be described as an extremely uncommon practice. Data is different. It’s terrifying. I’m afraid so.

Data Engineering 98

Data Engineering Data Engineer Engineering Software Engineer 98

Knowledge Hut

DECEMBER 21, 2023

Data Science is the world's most rapidly growing sector and data engineers are at the forefront. In this article, we will understand the promising data engineer career outlook and what it takes to succeed in this role. What is Data Engineering? What are the Data Engineer Career Opportunities?

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Data Engineering Weekly

JULY 9, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork, and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. Andrew Jones: Data Contracts - the book. See how it works today.

Data Engineering 52

Data Engineering Data Engineer Engineering Lambda Architecture 52

Knowledge Hut

NOVEMBER 19, 2023

One of the most important responsibilities for experts in big data is configuring the cloud to store data and provide high availability. As a result, data engineers working with big data today require a basic grasp of cloud computing platforms and tools. What Are Azure Data Engineer Tools?

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Towards Data Science

APRIL 3, 2023

The post-modern data stack is coming. If you don’t like change, data engineering is not for you. The most prominent, recent examples are Snowflake and Databricks disrupting the concept of the database and ushering in the modern data stack era. It’s important to note the data is still in a relatively raw state.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Warehouse 98

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?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Data Engineering Weekly

OCTOBER 1, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. I wish more data engineers would start sharing their on-call experience soon.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

Monte Carlo

FEBRUARY 6, 2023

So, you’re planning a cloud data warehouse migration. But be warned, a warehouse migration isn’t for the faint of heart. As you probably already know if you’re reading this, a data warehouse migration is the process of moving data from one warehouse to another. A worthy quest to be sure.

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

Knowledge Hut

MARCH 13, 2024

Wondering what is a big data engineer? As the name suggests, Big Data is associated with ‘big’ data, which hints at something big in the context of data. Big data forms one of the pillars of data science. Big data has been a hot topic in the IT sector for quite a long time.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 13, 2024

Wondering what is a big data engineer? As the name suggests, Big Data is associated with ‘big’ data, which hints at something big in the context of data. Big data forms one of the pillars of data science. Big data has been a hot topic in the IT sector for quite a long time.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

U-Next

MARCH 1, 2023

Introduction Data Engineer is responsible for managing the flow of data to be used to make better business decisions. A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. What is a data warehouse?

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

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.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Data Engineering Podcast

JANUARY 21, 2024

In this episode Tasso Argyros, CEO of ActionIQ, gives a summary of the major epochs in database technologies and how he is applying the capabilities of cloud data warehouses to the challenge of building more comprehensive experiences for end-users through a modern customer data platform (CDP).

Data Lake 147

Data Lake High Quality Data NoSQL Data Warehouse 147

Knowledge Hut

MAY 3, 2023

With companies increasingly relying on data-driven insights to make informed decisions, there has never been a greater need for skilled specialists who can manage and evaluate vast amounts of data. The roles of data analyst and data engineer have emerged as two of the most in-demand professions in today's job market.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Cleanse 98