Knowledge Hut

NOVEMBER 2, 2023

Azure Data engineering projects are complicated and require careful planning and effective team participation for a successful completion. While many technologies are available to help data engineers streamline their workflows and guarantee that each aspect meets its objectives, ensuring that everything works properly takes time.

Data Engineering 52

Data Engineering Data Engineer Coding Project 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.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

SEPTEMBER 21, 2023

Data is the new fuel, and data engineers are the architects who refine and harness its power. As an aspiring data engineer, this is the world I entered a world where I have the privilege of harnessing the power of data to leverage its full potential. Who is an Azure Data Engineer and What Do They Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Data Engineering Weekly

JUNE 18, 2023

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. Sign up free to test out the tool today. Kudos to the author.

Data Engineering 52

Data Engineering Data Engineer Engineering MySQL 52

Knowledge Hut

OCTOBER 8, 2023

In the cloud services and data engineering space, Amazon Web Services (AWS) is the leader, with a market share of 32%. These companies are constantly looking out for professionals who are familiar with and can develop newer technologies and systems for larger volumes of data. Who is an AWS Data Engineer and What Do They Do?

AWS 52

AWS Data Engineering Data Engineer Engineering 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! What are Data Engineering Tools?

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Databand.ai

DECEMBER 13, 2022

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-13 10:23:19 Interested in data engineering? LinkedIn is full of influencers sharing new ideas and sparking conversations on all kinds of topics, and data engineering is no exception. You’ve come to the right place.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Christophe Blefari

JUNE 16, 2023

I'm now under the Berlin rain with 20° When I write in these conditions I feel like a tortured author writing a depressing novel while actually today I'll speak about the AI Act, Python, SQL and data platforms. The ultimate SQL guide — After the last canva on data interviews, here's a canva to learn SQL.

Programming Language 130

Programming Language SQL PostgreSQL Data 130

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? The answer is- by earning professional data engineering certifications! AWS or Azure?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Science Blog: Data Engineering

MAY 20, 2024

Continuous Integration and Continuous Delivery (CI/CD) for Data Pipelines: It is a Game-Changer with AnalyticsCreator! The need for efficient and reliable data pipelines is paramount in data science and data engineering. Data Lakes : It supports MS Azure Blob Storage. pipelines, Azure Data Bricks.

Data Pipeline 52

Data Pipeline BI Data Lake Data Warehouse 52

Silectis

DECEMBER 15, 2020

If you’ve been following along with Silectis over the past couple of years, you are familiar with our data engineering platform, Magpie. You’re aware of the many outcomes it puts at the fingertips of data engineers, and teams of data practitioners more largely. If you’re new around here, not to worry.

Data Engineering 52

Data Engineering Data Engineer Engineering ETL Tools 52

Christophe Blefari

SEPTEMBER 15, 2023

If you're late to the party and you need fresh views on LLMs Daniel wrote an introduction demystifying the Large Language Models and Jesse wrote about LLMs impact from a Data Engineering perspective. Dimensional data modeling with dbt — A great 6-steps process to create a simple dim-fact model with dbt.

Data Warehouse 130

Data Warehouse Data SQL Python 130

Monte Carlo

JUNE 2, 2024

A venn diagram comparing common responsibilities of data infrastructure engineers and data science engineers. For example, Data Infrastructure Engineers use their programming skills to lead system architecture and data engineering efforts.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Data Engineering Podcast

JUNE 5, 2022

In this episode Sean Falconer explains the idea of a data privacy vault and how this new architectural element can drastically reduce the potential for making a mistake with how you manage regulated or personally identifiable information. If you’re a data engineering podcast listener, you get credits worth $5,000 when you become a customer.

Data Security 100

Data Security Metadata MongoDB Scala 100

Data Engineering Weekly

APRIL 6, 2023

Hey folks, have you heard about the Data Council conference in Austin? The three-day event was jam-packed with exciting discussions and innovative ideas on data engineering and infrastructure, data science and algorithms, MLOps, generative AI, streaming infrastructure, analytics, and data culture and community.

Big Data 52

Big Data Data Governance SQL Government 52

Knowledge Hut

OCTOBER 30, 2023

Data Transformation and ETL: Handle more complex data transformation and ETL (Extract, Transform, Load) processes, including handling data from multiple sources and dealing with complex data structures. Ensure compliance with data protection regulations. Identify and address bottlenecks and performance issues.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Data Engineering Podcast

JULY 12, 2021

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management You listen to this show to learn about all of the latest tools, patterns, and practices that power data engineering projects across every domain. Go to dataengineeringpodcast.com/97things today to get your copy!

Designing 100

Designing Data Warehouse Data Governance Consulting 100

Snowflake

FEBRUARY 21, 2024

This greatly simplifies the experience of working with data for app developers, data engineers, architects and admins. Here are a few examples of what this deep integration provides: Unified data governance: Govern all of your transactional and analytical data with one central set of policies.

Government 99

Government AWS Data Architect Architecture 99

Monte Carlo

MARCH 25, 2024

It won’t be long before it’s considered malpractice to launch a data and AI product without data observability similar to how it’s considered malpractice to launch an application without any application monitoring system… or to go skydiving without a parachute. “In More pipelines, more data sources, and more consumers.

MySQL 64

MySQL Government Data Governance Kafka 64

AltexSoft

FEBRUARY 11, 2023

Data architect and other data science roles compared Data architect vs data engineer Data engineer is an IT specialist that develops, tests, and maintains data pipelines to bring together data from various sources and make it available for data scientists and other specialists.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Data Engineering Podcast

APRIL 26, 2021

In this episode Maxime Beauchemin discusses how data engineers can use Superset to provide self service access to data and deliver analytics. He digs into how it integrates with your data stack, how you can extend it to fit your use case, and why open source systems are a good choice for your business intelligence.

Business Intelligence 100

Business Intelligence Data Warehouse Hadoop Data Pipeline 100

François Nguyen

MARCH 22, 2021

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. How do we build data products ? How can we interoperate between the data domains ? The data domain Discovery portal with all the metadata on the data life cycle 4.Federated

Technology 130

Technology Architecture Google Cloud Metadata 130

Data Engineering Podcast

OCTOBER 15, 2021

In this episode they discuss the recent work that has been done by the community, how their work is building on top of that foundation, and how you can get started with DataHub for your own work to manage data discovery today. The data you’re looking for is already in your data warehouse and BI tools.

Metadata 100

Metadata BI Data Warehouse Government 100

Data Engineering Podcast

JULY 10, 2022

In this episode Inbar Yogev and Lior Winner share the journey that they and their teams at Riskified have been on for their data platform. They also discuss how they have established a guild system for training and supporting data professionals in the organization. What is the composition of your data roles?

Metadata 100

Metadata MongoDB MySQL Data Pipeline 100

Data Engineering Podcast

OCTOBER 12, 2020

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management What are the pieces of advice that you wish you had received early in your career of data engineering? If you hand a book to a new data engineer, what wisdom would you add to it?

Business Intelligence 100

Business Intelligence BI Consulting Data Ingestion 100

Monte Carlo

APRIL 7, 2021

Data pipelines can break for a million different reasons, and there isn’t a one-size-fits all approach to understanding how or why. Here are five critical steps data engineers must take to conduct engineering root cause analysis for data quality issues. What makes a successful engineering root cause analysis?

Data Engineering 40

Data Engineering Data Engineer Engineering Datasets 40

phData: Data Engineering

JULY 12, 2022

Within data engineering , one of the most frequent tasks is modeling data into data marts and data products. Traditionally, if a company wanted to model some data, there were two types of resources available that could accomplish this: data engineers or data analysts.

Data Engineering 52

Data Engineering Data Engineer SQL Data 52

Monte Carlo

JULY 27, 2023

Interestingly, only 43% specifically mention resolving the data quality issues that do arise. The skills, languages and tools of a data quality engineer Data quality engineers need to be highly skilled in multiple programming languages such as SQL (mentioned in 61% of postings), Python (56%), and Scala (13%).

Engineering 52

Engineering Healthcare Scala Data Warehouse 52

Data Engineering Podcast

FEBRUARY 4, 2024

Summary Stream processing systems have long been built with a code-first design, adding SQL as a layer on top of the existing framework. RisingWave is a database engine that was created specifically for stream processing, with S3 as the storage layer. Can you describe what RisingWave is and the story behind it?

SQL 173

SQL Data Lake High Quality Data Data Pipeline 173

Data Engineering Podcast

APRIL 22, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode.

Business Intelligence 113

Business Intelligence Metadata Management Data Governance 113

Ascend.io

SEPTEMBER 5, 2023

Snowpark’s key benefit is its ability to support coding in languages other than SQL—such as Scala, Java, and Python—without moving data out of Snowflake and, therefore , take full advantage of its powerful capabilities through code. SQL, as a declarative language, offers a broad audience the power to query data.

IT 59

IT Scala Java Programming Language 59

Monte Carlo

SEPTEMBER 12, 2022

The field of data engineering has been growing at a breakneck pace. New frameworks, new challenges, and new technologies are constantly shifting how engineers think about their work and their roles within their organizations. Plus, he was one of the first data engineers at Facebook and Airbnb.

BI 52

BI Data Governance ETL Tools Data Warehouse 52

ProjectPro

FEBRUARY 8, 2023

Data Integration and Transformation, A good understanding of various data integration and transformation techniques, like normalization, data cleansing, data validation, and data mapping, is necessary to become an ETL developer. Data Governance Know-how of data security, compliance, and privacy.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Knowledge Hut

DECEMBER 26, 2023

If you are looking for a wholesome list of books, including one like statistics for data science book or even the best python data science books, you can refer to the below list:- 1. Programming Programming is crucial to have an in-depth understanding of data science.

Data Science 52

Data Science Scala Programming Language R (Programming) 52

Monte Carlo

DECEMBER 4, 2023

Of course, connected devices is just one of several domains–supply chain, sales, and manufacturing are among the others–overseen by the Sub-Zero data team and governed within their Data Governance Program, led by Justin Swenson. Sample data reliability dashboard in Monte Carlo with data health by domain.

Manufacturing 52

Manufacturing Data Governance Government BI 52

Data Engineering Podcast

NOVEMBER 30, 2020

With the increasing pace of change and the need for up to date analytics the need to integrate that data in near real time is growing. With the improvements and increased variety of options for streaming data engines and improved tools for change data capture it is possible for data teams to make that goal a reality.

Data Integration 100

Data Integration Coding BI Kafka 100