Start Data Engineering

OCTOBER 22, 2021

Data modeling 2.1.1. Data storage 2.2. Data transformation 2.2.1. Data pipeline 2.4. Data analytics 3. Gathering requirements 2.1.2. Exploration 2.1.3. Modeling 2.1.4. Transformation types 2.2.1.1. Narrow transformations 2.2.1.2. Wide transformations 2.2.2. Query planner 2.2.3. Practice 4.

SQL 130

SQL Data Engineering Data Engineer Engineering 130

Monte Carlo

MAY 28, 2024

In batch processing, this occurs at scheduled intervals, whereas real-time processing involves continuous loading, maintaining up-to-date data availability. Data Validation : Perform quality checks to ensure the data meets quality and accuracy standards, guaranteeing its reliability for subsequent analysis.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Databand.ai

JULY 19, 2023

ELT offers a solution to this challenge by allowing companies to extract data from various sources, load it into a central location, and then transform it for analysis. The ELT process relies heavily on the power and scalability of modern data storage systems. The data is loaded as-is, without any transformation.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Christophe Blefari

SEPTEMBER 25, 2023

I'd say that Iceberg (or table formats) are probably one of the technology that will incrementally change for the better the way we write data pipelines. Providing more control over data storage. Tabular is the company providing a cloud platform on top of Apache Iceberg—developed by Iceberg founders.

Data 130

Data Data Warehouse Data Storage Data Pipeline 130

Christophe Blefari

SEPTEMBER 25, 2023

I'd say that Iceberg (or table formats) are probably one of the technology that will incrementally change for the better the way we write data pipelines. Providing more control over data storage. Tabular is the company providing a cloud platform on top of Apache Iceberg—developed by Iceberg founders.

Data 130

Data Data Warehouse Data Storage Data Pipeline 130

Christophe Blefari

FEBRUARY 24, 2023

In order to improve your data infra you should sometimes try to occasionally kill your data stack , chaos engineering is something that helps discover issues. This goes further than being a data-driven enterprise , you have to put in place a framework the puts data measurement at every product choice, resulting in maturity increase.

Kafka 130

Kafka Data Lake Data Storage Data 130

Christophe Blefari

JANUARY 20, 2024

Then here a list of global resources that can help you navigate through the field: The Data Engineer Roadmap — An image with advices and technology names to watch. Reddit r/dataengineering wiki a place where some data eng definitions are written. formats — This is a huge part of data engineering.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Databand.ai

AUGUST 30, 2023

These systems typically consist of siloed data storage and processing environments, with manual processes and limited collaboration between teams. These practices help ensure that the data being ingested is accurate, complete, and consistent across all sources. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Cloudera

NOVEMBER 1, 2023

This AMP is built on the foundation of one of our previous AMP s, with the additional enhancement of enabling customers to create a knowledge base from data on their own website using Cloudera DataFlow (CDF) and then augment questions to the chatbot from that same knowledge base in Pinecone.

Machine Learning 108

Machine Learning Data Ingestion Database Architecture 108

DareData

JANUARY 30, 2023

In this post, we'll discuss some key data engineering concepts that data scientists should be familiar with, in order to be more effective in their roles. These concepts include concepts like data pipelines, data storage and retrieval, data orchestrators or infrastructure-as-code.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Knowledge Hut

SEPTEMBER 25, 2023

As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. You will be in charge of creating and maintaining data pipelines, data storage solutions, data processing, and data integration to enable data-driven decision-making inside a company.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Christophe Blefari

SEPTEMBER 28, 2023

Historically, data pipelines were designed with an ETL approach, storage was expensive and we had to transform the data before using it. With the cloud, we got the—false—impression that resources were infinite and cheap, so we switched to ETL by pushing everything into a central data storage.

Cloud Storage 147

Cloud Storage Big Data Hadoop SQL 147

Edureka

FEBRUARY 7, 2023

Azure Data Engineers use a variety of Azure data services, such as Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, to design and implement data solutions that meet the needs of their organization. Gain hands-on experience using Azure data services.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Hevo

MAY 30, 2023

If you’re involved in the data space, you must have come across the term AWS Data Engineering. To explain in simple words, AWS Data Engineering manages Data Pipelines, Data Transfer, and Data Storage. In this article, you will learn about the process and tools in AWS Data Engineering.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional responsible for designing, implementing, and managing data solutions using Microsoft's Azure cloud platform. They work with various Azure services and tools to build scalable, efficient, and reliable data pipelines, data storage solutions, and data processing systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

MARCH 20, 2024

Data Engineer The design, building, and management of the data infrastructure that underpins data-driven applications are the responsibilities of a data engineer. Building data pipelines requires using ETL technologies such as Talend, Apache Nifi, and Apache Airflow.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Snowflake

MARCH 18, 2024

And as the need to securely share data — both within and beyond the enterprise — becomes mission critical, the ability to manage and create robust and trusted data pipelines is key. Yet today, 55% of enterprises say they can’t trace the lineage of their data from source to endpoint.

Unstructured Data 87

Unstructured Data Government Data Pipeline Cloud 87

Monte Carlo

MARCH 28, 2023

The most prominent, recent examples are Snowflake and Databricks disrupting the concept of the database and ushering in the modern data stack era. As part of this movement, Fivetran and dbt fundamentally altered the data pipeline from ETL to ELT. Zero-ETL What it is : A misnomer for one thing; the data pipeline still exists.

Data Warehouse 126

Data Warehouse Raw Data Data Pipeline Software Engineer 126

Knowledge Hut

DECEMBER 28, 2023

This certification, often referred to as the Azure Data Engineer Associate certification, validates the competency of individuals in implementing Azure data solutions. It’s a testament to their ability to create scalable, efficient and secure data pipelines. What is the Azure Data Engineer Certification?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Ascend.io

DECEMBER 19, 2023

That’s what we call a data pipeline. It could just as well be ‘ELT for Snowflake’ The key takeaway is that these terms are representative of the actual activity being undertaken: the construction and management of data pipelines within the Snowflake environment.

ETL Tools 52

ETL Tools IT Data Pipeline Data Warehouse 52

Knowledge Hut

NOVEMBER 17, 2023

They work with various stakeholders to provide real-time data analytics, maintain data quality and integrity, and deliver insightful data to the business. The main duties of an Azure Data Engineer are planning, developing, deploying, and managing the data pipelines. The certification cost is $165 USD.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

MARCH 20, 2024

An Azure Data Engineer is a professional specializing in designing, implementing, and managing data solutions on the Microsoft Azure cloud platform. They possess expertise in various aspects of data engineering. As an Azure data engineer myself, I was responsible for managing data storage, processing, and analytics.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Knowledge Hut

MARCH 15, 2024

An Azure Data Engineer is a professional specializing in designing, implementing, and managing data solutions on the Microsoft Azure cloud platform. They possess expertise in various aspects of data engineering. As an Azure data engineer myself, I was responsible for managing data storage, processing, and analytics.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Cloudera

JUNE 26, 2023

Airflow comes in handy when complex, independent, typically on-prem data pipelines become difficult to manage as it facilitates the division of workflow into small independent tasks written in Python which can be executed in parallel for faster runtime. The Workload View facilitates workload analysis at a much finer grain (e.g.

ETL Tools 76

ETL Tools Programming Language Datasets Data Pipeline 76

Knowledge Hut

NOVEMBER 28, 2023

Let us take a look at the top technical skills that are required by a data engineer first: A. Technical Data Engineer Skills 1.Python Python is ubiquitous, which you can use in the backends, streamline data processing, learn how to build effective data architectures, and maintain large data systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Data Engineering Weekly

MARCH 3, 2024

link] Zendesk: dbt at Zendesk The Zendesk team shares their journey of migrating legacy data pipelines to dbt, focusing on making them more reliable, efficient, and scalable. link] Martin Chesbrough: How to Build a Modern Data Team? This approach helps maintain accuracy, relevance, and compliance in generative AI applications.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Knowledge Hut

MARCH 28, 2024

Job Role 1: Azure Data Engineer Azure Data Engineers develop, deploy, and manage data solutions with Microsoft Azure data services. 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

Ascend.io

MAY 23, 2023

The data engineering world is full of tips and tricks on how to handle specific patterns that recur with every data pipeline. In general, the root of the orphaned data problem lies in the interim storage of data between the individual processing steps that make up a data pipeline.

Datasets 52

Datasets Data Pipeline Metadata Database 52

Knowledge Hut

APRIL 25, 2023

Data engineering is a field that requires a range of technical skills, including database management, data modeling, and programming. Data engineering tools can help automate many of these processes, allowing data engineers to focus on higher-level tasks like extracting insights and building data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Christophe Blefari

NOVEMBER 11, 2022

Kovid wrote an article that tries to explain what are the ingredients of a data warehouse. A data warehouse is a piece of technology that acts on 3 ideas: the data modeling, the data storage and processing engine. And he does it well. In the post Kovid details every idea.

BI 130

BI Data Warehouse Data Database 130

Towards Data Science

APRIL 3, 2023

The most prominent, recent examples are Snowflake and Databricks disrupting the concept of the database and ushering in the modern data stack era. As part of this movement, Fivetran and dbt fundamentally altered the data pipeline from ETL to ELT. Zero-ETL What it is : A misnomer for one thing; the data pipeline still exists.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Warehouse 98

Knowledge Hut

JUNE 15, 2023

Every business unit, including marketing , production, and finance, uses data to make significant decisions and carry out its operations. That is why every organization works towards designing and building structures for proper data storage and analysis. This process of data management is called data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Knowledge Hut

NOVEMBER 17, 2023

The job of an Azure Data Engineer is really needed in the world of handling and studying data. As Azure Data Engineers, they'll be responsible for creating and looking after solutions that use data to help the company.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

MARCH 13, 2024

While working as a big data engineer, there are some roles and responsibilities one has to do: Designing large data systems starts with designing a capable system that can handle large workloads. Develop the algorithms: Once the database is ready, the next thing is to analyze the data to obtain valuable insights.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 13, 2024

While working as a big data engineer, there are some roles and responsibilities one has to do: Designing large data systems starts with designing a capable system that can handle large workloads. Develop the algorithms: Once the database is ready, the next thing is to analyze the data to obtain valuable insights.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Edureka

FEBRUARY 9, 2023

Here are some role-specific skills to consider if you want to become an Azure data engineer: Programming languages are used in the majority of data storage and processing systems. Data engineers must be well-versed in programming languages such as Python, Java, and Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

NOVEMBER 18, 2023

Review the guidelines thoroughly before taking the Data Engineering on Microsoft Azure certification test. Develop your skills using the Azure tools and services you'll be tested on, manage and analyze data, and create data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Certification 52