- 7 Steps to Mastering Data Engineering - Apr 12, 2024.
The only data engineering roadmap you need for an introduction to concepts, tools, and techniques to collect, store, transform, analyze, and model data.
Data Engineering
- What is a Database? Everything You Need to Know - Mar 26, 2024.
Unlocking Database Basics.
Data Engineering
- 5 Airflow Alternatives for Data Orchestration - Feb 22, 2024.
Top list of open-source tools for building and managing workflows.
Data Engineering
- What Is Data Lineage, And Why Does It Matter? - Feb 14, 2024.
If you’ve ever had conversations with data professionals, you’ve probably heard “data lineage” pop up quite a few times. So what is data lineage all about, and why is it important?
Data Engineering
- Free Data Engineering Course for Beginners - Feb 12, 2024.
Interested in data engineering but don't know where to start? Get up to speed in data engineering fundamentals with this free course.
Data Engineering
- A Data Lake, You Call It? It’s a Data Swamp - Feb 5, 2024.
How and why the data lake architecture often fails to meet its promises. And how better governance helps mitigate such challenges.
Data Engineering
- The Only Free Course You Need To Become a Professional Data Engineer - Jan 26, 2024.
Data Engineering ZoomCamp offers free access to reading materials, video tutorials, assignments, homeworks, projects, and workshops.
Data Engineering
- Turn Your Laptop Into a Personal Analytics Engine with DuckDB and MotherDuck - Jan 16, 2024.
Bring the powerful tools to your laptop.
Data Engineering
- Evolution in ETL: How Skipping Transformation Enhances Data Management - Dec 12, 2023.
This article provides an overview of two new data preparation techniques that enable data democratization while minimizing transformation burdens.
Data Engineering
- Back to Basics Bonus Week: Deploying to the Cloud - Dec 11, 2023.
Welcome back to the KDnuggets’ "Back to Basics" series. This is the BONUS week and we will dive into learning about deploying to the cloud.
Data Engineering
- 5 Free Courses to Master Data Engineering - Nov 30, 2023.
Data engineers must prepare and manage the infrastructure and tools necessary for the whole data workflow in a data-driven company.
Data Engineering
- How Big Data Is Saving Lives in Real Time: IoV Data Analytics Helps Prevent Accidents - Nov 28, 2023.
This posts talks about what needs to be taken care of in IoV data analysis, and shows the difference between a near real-time analytic platform and an actual real-time analytic platform with a real-world example.
Data Engineering
- Getting Started with Graph Database Queries, with Cheat Sheet! - Nov 6, 2023.
Graph databases are quickly becoming a core part of the analytics toolset for enterprise IT organizations. If you know SQL, you can easily learn Cypher and open up a huge opportunity for data analysis.
Data Engineering
- Data Warehouses vs. Data Lakes vs. Data Marts: Need Help Deciding? - Oct 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 Engineering
- 7 Best Cloud Database Platforms - Oct 18, 2023.
Cloud databases have made it easier and cheaper to develop enterprise-level applications, offering flexibility, convenience, and standard database functionality. See what KDnuggets recommends.
Data Engineering, KDnuggets Recommends
- Exploring Data Mesh: A Paradigm Shift in Data Architecture - Oct 13, 2023.
Let’s explore Data Mesh, a modern approach to data architecture that decentralizes data ownership and management.
Data Engineering
- Best Practices for Building ETLs for ML - Oct 12, 2023.
This article talks about several best practices for writing ETLs for building training datasets. It delves into several software engineering techniques and patterns applied to ML.
Data Engineering
- Getting Started with Google Cloud Platform in 5 Steps - Oct 1, 2023.
Explore the essentials of Google Cloud Platform for data science and ML, from account setup to model deployment, with hands-on project examples.
Data Engineering
- A Comprehensive Guide to Pinecone Vector Databases - Sep 12, 2023.
This blog discusses vector databases, specifically pinecone vector databases. A vector database is a type of database that stores data as mathematical vectors, which represent features or attributes. These vectors have multiple dimensions, capturing complex data relationships. This allows for efficient similarity and distance calculations, making it useful for tasks like machine learning, data analysis, and recommendation systems.
Data Engineering
- Working with Big Data: Tools and Techniques - Sep 11, 2023.
Where do you start in a field as vast as big data? Which tools and techniques to use? We explore this and talk about the most common tools in big data.
Data Engineering
- Building a Formula 1 Streaming Data Pipeline With Kafka and Risingwave - Sep 5, 2023.
Build a streaming data pipeline using Formula 1 data, Python, Kafka, RisingWave as the streaming database, and visualize all the real-time data in Grafana.
Data Engineering
- How to Digest 15 Billion Logs Per Day and Keep Big Queries Within 1 Second - Sep 1, 2023.
This article describes a large-scale data warehousing use case to provide reference for data engineers who are looking for log analytic solutions. It introduces the log processing architecture and real-case practice in data ingestion, storage, and queries.
Data Engineering
- 2024 Data Management Crystal Ball: Top 4 Emerging Trends - Aug 31, 2023.
These are my predictions based on my personal experiences, recent research and reports from leading platforms.
Data Engineering
- Creating A Simple Docker Data Science Image - Aug 28, 2023.
This concise primer walks through setting up a Python data science environment using Docker, covering creating a Dockerfile, building an image, running a container, sharing and deploying images, and pushing to Docker Hub.
Data Engineering
- Things You Should Know When Scaling Your Web Data-Driven Product - Aug 25, 2023.
Scaling your data-driven product helps grow your business, but it requires certain expertise. In this article, you will learn how scaling works and what to keep in mind while doing it.
Data Engineering
- How to Build a Real-Time Recommendation Engine Using Graph Databases - Aug 18, 2023.
"You may also like" is a simple phrase that implies a new era in the way businesses interact and connect with their customers, and graph databases can easily help to build recommendation engines.
Data Engineering
- Top 6 Tools to Improve Your Productivity on Snowflake - Aug 15, 2023.
The post reviews 6 top tools for improving productivity with Snowflake for data preparation, visualization, integration, BI and governance.
Data Engineering
- CDC Data Replication: Techniques, Tradeoffs, Insights - Aug 7, 2023.
The author discusses common use cases for CDC data replication, implementation techniques and their tradeoffs, and firsthand insights.
Data Engineering
- A Beginner’s Guide to Data Engineering - Jul 20, 2023.
So you want to break into data engineering? Start today by learning more about data engineering and the fundamental concepts.
Data Engineering
- How to Build a Streaming Semi-structured Analytics Platform on Snowflake - Jul 1, 2023.
Building a datalake for semi-structured data or json has always been challenging. Imagine if the json documents are streaming or continuously flowing from healthcare vendors then we need a robust modern architecture that can deal with such a high volume. At the same time analytics layer also needs to be created so as to generate value from it.
Data Engineering
- Evolution of the Data Landscape - Jun 27, 2023.
The article follows the story of evolution in the data space through the lens of evolutionary patterns. It talks of the state of significant milestones in the evolutionary journey, their achievements, challenges, and the next milestone that solved those challenges. The article comes from both a business and technical perspective, owing to the persona of the authors.
Data Engineering
- Data Engineering Landscape in the AI-Driven World - May 24, 2023.
Generative AI has just started to capture the imagination of data engineers, so the impact thus far has been just a fraction of what it will be a year or two from now.
Data Engineering
- Should You Consider a DataOps Career? - May 15, 2023.
Transitioning your career to DataOps could be just the change you need - not only will it provide the possibility to expand your technical skills, but also a rewarding salary with many job openings.
Data Engineering
- Schedule & Run ETLs with Jupysql and GitHub Actions - May 1, 2023.
This blog provided you with a comprehensive overview of ETL and JupySQL, including a brief introduction to ETLs and JupySQL. We also demonstrated how to schedule an example ETL notebook via GitHub actions, which allows you to automate the process of executing ETLs and JupySQL from Jupyter.
Data Engineering
- 11 Best Practices of Cloud and Data Migration to AWS Cloud - Apr 14, 2023.
list of Best Practices compiled from our learnings during our migration journey to the AWS cloud.
Data Engineering
- How to Build a Scalable Data Architecture with Apache Kafka - Apr 5, 2023.
Learn about Apache Kafka architecture and its implementation using a real-world use case of a taxi booking app.
Data Engineering
- ETL vs ELT: Which One is Right for Your Data Pipeline? - Mar 31, 2023.
Learn about the differences between ETL and ELT data integration techniques and determine which is right for your data pipeline.
Data Engineering
- Data Quality Dimensions: Assuring Your Data Quality with Great Expectations - Mar 23, 2023.
This article highlights the significance of ensuring high-quality data and presents six key dimensions for measuring it. These dimensions include Completeness, Consistency, Integrity, Timelessness, Uniqueness, and Validity.
Data Engineering
- A List of 7 Best Data Modeling Tools for 2023 - Mar 3, 2023.
Learn about data modeling tools to create, design and manage data models, allowing data scientists to access and use them more quickly.
Data Engineering
- Data Warehousing and ETL Best Practices - Feb 27, 2023.
How you can improve your data warehousing ETL process with these simple practices.
Data Engineering
- 5 SQL Visualization Tools for Data Engineers
- Feb 24, 2023.
This article will discuss SQL visualization, its role in augmenting the modern-day data engineer, and five categories of SQL visualization tools.
Data Engineering
- Docker for Data Science Cheat Sheet - Feb 14, 2023.
Docker is dependency management on steroids, helping to ensure both reproducibility and collaboration, making it an important tool for data science. Our latest cheat sheet serves as a handy Docker reference. Check it out now!
Data Engineering
- Learn Data Engineering From These GitHub Repositories - Feb 7, 2023.
Kickstart your Data Engineering career with these curated GitHub repositories.
Data Engineering
- Tapping into the Potential of Data Products in 2023 - Jan 31, 2023.
Learn how data can be treated as a product and how it can be used to derive value.
Data Engineering
- Scaling Data Management Through Apache Gobblin - Jan 20, 2023.
Software companies can manage big data at a hyper-scale on different infrastructure stacks using Apache Gobblin.
Data Engineering
- SQL and Data Integration: ETL and ELT - Jan 19, 2023.
In this article, we will discuss use cases and methods for using ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes along with SQL to integrate data from various sources.
Data Engineering
- Data Lakes and SQL: A Match Made in Data Heaven - Jan 16, 2023.
In this article, we will discuss the benefits of using SQL with a data lake and how it can help organizations unlock the full potential of their data.
Data Engineering
- Overcome Your Data Quality Issues with Great Expectations - Jan 12, 2023.
Bad data costs organizations money, reputation, and time. Hence it is very important to monitor and validate data quality continuously.
Data Engineering
- Where Collaboration Fails Around Data (And 4 Tips for Fixing It) - Jan 9, 2023.
Data-driven organizations require complex collaboration between data teams and business stakeholders. Here are 4 proactive tips for reducing information asymmetries and achieving better collaboration.
Data Engineering
- 7 Essential Cheat Sheets for Data Engineering - Dec 6, 2022.
Learn about the data life cycle, PySpark, dbt, Kafka, BigQuery, Airflow, and Docker.
Data Engineering
- The Complete Data Engineering Study Roadmap - Nov 28, 2022.
Everything you need to know to start your career in Data Engineering.
Data Engineering
- Is OLAP Dead? - Oct 21, 2022.
OLAP enables citizen analysts to quickly, efficiently, and cost-effectively uncover new business insights at a reduced time-to-value.
Data Engineering
- Essential Books You Need to Become a Data Engineer - Oct 18, 2022.
In this article, I will go through the roadmap of books you need to become a Data Engineer.
Data Engineering
- 11 Questions About Data Engineers: What’s the profession about, and where’s it heading? - Oct 6, 2022.
I hope my answers will be useful to novice data engineers and anyone interested in data engineering.
Data Engineering
- The Evolution of Apache Druid - Jul 19, 2022.
And so true to the origins of its name, Apache Druid is shapeshifting - with the addition of a new multi-stage query engine.
Data Engineering
- 10 Modern Data Engineering Tools - Jul 11, 2022.
Learn about the modern tools for data orchestration, data storage, analytical engineering, batch processing, and data streaming.
Data Engineering
- Free Data Engineering Courses - May 30, 2022.
Get into the highly in-demand world of data engineering for free and earn 6 figures salary.
Data Engineering
- Deploying a Streamlit WebApp to Heroku using DAGsHub - Feb 7, 2022.
Transform your machine learning models into a web app and share them with your friends and colleagues.
Data Engineering
- Is the Modern Data Stack Leaving You Behind? - Nov 1, 2021.
The modern data stack narrative is largely dominated by analytics engineering. Where does that leave data engineers? Discover the difference between the MDS for data engineers & analytics engineers.
Analytics, Data Engineer, Data Engineering, Tools
- Data Engineering Technologies 2021 - Sep 21, 2021.
Emerging technologies supporting the field of data engineering are growing at a rapid clip. This curated list includes the most important offerings available in 2021.
Abacus.ai, Dask, Data Engineering, Databricks, Dataiku, DataRobot, dbt, Fivetran, Pachyderm
Data Scientists Without Data Engineering Skills Will Face the Harsh Truth - Sep 14, 2021.
Although the role of the data scientist is still evolving, data remains at its core. Setting the right expectations for what you will do as a data scientist is important, and, to be sure, knowing the tools of data engineering will get yourself ready for the real world.
Data Engineering, Data Science Skills, Data Scientist
- The Most Important Tool for Data Engineers - Aug 26, 2021.
And it has nothing to do with Python or SQL
Career Advice, Data Engineer, Data Engineering
- Model Drift in Machine Learning – How To Handle It In Big Data - Aug 17, 2021.
Rendezvous Architecture helps you run and choose outputs from a Champion model and many Challenger models running in parallel without many overheads. The original approach works well for smaller data sets, so how can this idea adapt to big data pipelines?
Big Data, Data Engineering, Data Preparation, Machine Learning, Model Drift
- Development & Testing of ETL Pipelines for AWS Locally - Aug 2, 2021.
Typically, development and testing ETL pipelines is done on real environment/clusters which is time consuming to setup & requires maintenance. This article focuses on the development and testing of ETL pipelines locally with the help of Docker & LocalStack. The solution gives flexibility to test in a local environment without setting up any services on the cloud.
AWS, Data Engineering, ETL, Pipeline
- dbt for Data Transformation – Hands-on Tutorial - Jul 28, 2021.
The data build tool (dbt) is gaining in popularity and use, and this hands-on tutorial covers creating complex models, using variables and functions, running tests, generating docs, and many more features.
Data Engineering, Data Preparation, dbt, ETL, SQL
- MLOps is an Engineering Discipline: A Beginner’s Overview - Jul 8, 2021.
MLOps = ML + DEV + OPS. MLOps is the idea of combining the long-established practice of DevOps with the emerging field of Machine Learning.
Data Engineering, Deployment, Machine Learning, MLOps, Modeling
Analytics Engineering Everywhere - Jun 22, 2021.
Many new roles have appeared in the data world ever since the rise of the Data Scientist took the spotlight several years ago. Now, there is a new core player ready to take center stage, and we may see in five years, nearly every organization will have an Analytics Engineering team.
Analytics, Analytics Engineering, Data Engineering, dbt
- DataOps: 5 things that you need to know - May 20, 2021.
DataOps (Data Operations) has assumed a critical role in the age of big data to drive definitive impact on business outcomes. This process-oriented and agile methodology synergizes the components of DevOps and the capabilities of data engineers and data scientists to support data-focused workloads in enterprises. Here is a detailed look at DataOps.
Data Engineer, Data Engineering, DataOps
Why You Should Consider Being a Data Engineer Instead of a Data Scientist - Apr 27, 2021.
A new king of the jungle has emerged.
Career Advice, Data Engineer, Data Engineering, Data Science, Data Scientist
- Data careers are NOT one-size fits all! Tips for uncovering your ideal role in the data space - Apr 23, 2021.
Thriving as a data professional is about more than just making good money! It’s about FULFILLMENT & IMPACT. In this article, I will help you discover the BEST data role for you given your unique skill sets, personality & goals.
Career Advice, Careers, Data Engineering, Data Science
- How to build a DAG Factory on Airflow - Mar 19, 2021.
A guide to building efficient DAGs with half of the code.
Data Engineering, Data Workflow, Graphs, Python, Workflow
- Introducing dbt, the ETL and ELT Disrupter - Mar 17, 2021.
Moving and processing data is happening 24/7/365 world-wide at massive scales that only get larger by the hour. Tools exist to introduce efficiencies in how data can be extracted from sources, transformed through calculations, and loaded into target data repositories. However, on their own, these tools can introduce some restrictions in the processing, especially for the needs of data analytics and data science.
Data Engineering, Data Preparation, dbt, ELT, ETL
Data Science Learning Roadmap for 2021 - Feb 26, 2021.
Venturing into the world of Data Science is an exciting, interesting, and rewarding path to consider. There is a great deal to master, and this self-learning recommendation plan will guide you toward establishing a solid understanding of all that is foundational to data science as well as a solid portfolio to showcase your developed expertise.
Data Engineering, Data Preparation, Data Science, Data Science Education, Python, Roadmap, SQL
- Data Observability, Part II: How to Build Your Own Data Quality Monitors Using SQL - Feb 23, 2021.
Using schema and lineage to understand the root cause of your data anomalies.
Data Engineering, Data Quality, Data Science, Data Science Platform, SQL
- Feature Store as a Foundation for Machine Learning - Feb 19, 2021.
With so many organizations now taking the leap into building production-level machine learning models, many lessons learned are coming to light about the supporting infrastructure. For a variety of important types of use cases, maintaining a centralized feature store is essential for higher ROI and faster delivery to market. In this review, the current feature store landscape is described, and you can learn how to architect one into your MLOps pipeline.
Data Engineering, Data Infrastructure, Data Lake, Feature Engineering, Feature Store, Machine Learning, Metadata, MLOps, Pipeline
- Data Observability: Building Data Quality Monitors Using SQL - Feb 16, 2021.
To trigger an alert when data breaks, data teams can leverage a tried and true tactic from our friends in software engineering: monitoring and observability. In this article, we walk through how you can create your own data quality monitors for freshness and distribution from scratch using SQL.
Data Engineering, Data Quality, Data Science, Data Science Platform, SQL
Data Engineering — the Cousin of Data Science, is Troublesome - Jan 22, 2021.
A Data Scientist must be a jack of many, many trades. Especially when working in broader teams, understanding the roles of others, such as data engineering, can help you validate progress and be aware of potential pitfalls. So, how can you convince your analysts to realize the importance of expanding their toolkit? Examples from real life often provide great insight.
Data Analyst, Data Engineer, Data Engineering, Data Scientist
- How to Get a Job as a Data Engineer - Jan 5, 2021.
Data engineering skills are currently in high demand. If you are looking for career prospects in this fast-growing profession, then these 10 skills and key factors will help you prepare to land an entry-level position in this field.
Career Advice, Data Engineer, Data Engineering
- The Future of Cloud is Now - Dec 22, 2020.
Our recent survey of over 130 top data engineers, data architects, and executives uncovered details and trends of the current state of data engineering and DataOps.Read our survey report to learn more about these trends as well as our predictions for future obstacles and our recommendations for avoiding them.
Cloud, Data Engineering, Data Platform, Immuta, Survey
- The Ultimate Guide to Data Engineer Interviews - Dec 7, 2020.
If you are preparing for data engineering interviews, then follow these technical recommendations regarding your resume, programming skills, SQL acumen, and system design problem-solving, as well as the non-technical aspects of your upcoming interview session.
Career Advice, Data Engineer, Data Engineering, Interview Questions, Programming, SQL
Why the Future of ETL Is Not ELT, But EL(T) - Dec 4, 2020.
The well-established technologies and tools around ETL (Extract, Transform, Load) are undergoing a potential paradigm shift with new approaches to data storage and expanding cloud-based compute. Decoupling the EL from T could reconcile analytics and operational data management use cases, in a new landscape where data warehouses and data lakes are merging.
Data Analysis, Data Engineering, Data Lakes, Data Preparation, ELT, ETL
Introduction to Data Engineering - Dec 3, 2020.
The Q&A for the most frequently asked questions about Data Engineering: What does a data engineer do? What is a data pipeline? What is a data warehouse? How is a data engineer different from a data scientist? What skills and programming languages do you need to learn to become a data engineer?
Analytics, Data Engineer, Data Engineering, Data Science, Skills
The Rise of the Machine Learning Engineer - Nov 23, 2020.
The evolution of Big Data into machine learning applications ushered in an exciting era of new roles and skillsets that became necessary to implement these technologies. With the Machine Learning Engineer being such a crucial component today, where the evolution of this field will take us tomorrow should be fascinating.
Data Engineer, Data Engineering, Data Scientist, Machine Learning Engineer, Trends
- Moving from Data Science to Machine Learning Engineering - Nov 10, 2020.
The world of machine learning — and software — is changing. Read this article to find out how, and what you can do to stay ahead of it.
Career Advice, Data Engineering, Data Science, Machine Learning, Machine Learning Engineer
- The Missing Teams For Data Scientists - Nov 2, 2020.
Still today, too large a percent of data science projects fail, many of which can be attributed to the impacts of how hard missing data teams hit the data science team. Advocating for the missing data engineering and operations components to your team will make your professional life easier and more productive.
Data Engineering, Data Science Skills, Data Science Team, Data Scientist, Team
- You Don’t Have to Use Docker Anymore - Oct 29, 2020.
Docker is not the only containerization tool out there and there might just be better alternatives…
Containers, Data Engineering, DevOps, Docker
- Apache Spark Cluster on Docker - Jul 22, 2020.
Build your own Apache Spark cluster in standalone mode on Docker with a JupyterLab interface.
Apache Spark, Data Engineering, Docker, Jupyter, Python
Skills to Build for Data Engineering - Jun 4, 2020.
This article jumps into the latest skill set observations in the Data Engineering Job Market which could definitely add a boost to your existing career or assist you in starting off your Data Engineering journey.
Career Advice, Data Engineering, Skills
- Why and How to Use Dask with Big Data - Apr 15, 2020.
The Pandas library for Python is a game-changer for data preparation. But, when the data gets big, really big, then your computer needs more help to efficiency handle all that data. Learn more about how to use Dask and follow a demo to scale up your Pandas to work with Big Data.
Big Data, Dask, Data Engineering
- Five Interesting Data Engineering Projects - Mar 17, 2020.
As the role of the data engineer continues to grow in the field of data science, so are the many tools being developed to support wrangling all that data. Five of these tools are reviewed here (along with a few bonus tools) that you should pay attention to for your data pipeline work.
Dask, Data Engineering, dbt, DVC, Python
- Scaling the Wall Between Data Scientist and Data Engineer - Feb 17, 2020.
The educational and research focuses of machine learning tends to highlight the model building, training, testing, and optimization aspects of the data science process. To bring these models into use requires a suite of engineering feats and organization, a standard for which does not yet exist. Learn more about a framework for operating a collaborative data science and engineering team to deploy machine learning models to end-users.
Advice, Data Engineer, Data Engineering, Data Scientist, Deployment, DevOps, Machine Learning Engineer, MLflow, MLOps, Production
- Observability for Data Engineering - Feb 10, 2020.
Going beyond traditional monitoring techniques and goals, understanding if a system is working as intended requires a new concept in DevOps, called Observability. Learn more about this essential approach to bring more context to your system metrics.
Data Engineering, DevOps, Explainability, KPI, Monitoring, Time Series
7 Resources to Becoming a Data Engineer - Jan 7, 2020.
An estimated 8,650% growth of the volume of Data to 175 zetabytes from 2010 to 2025 has created an enormous need for Data Engineers to build an organization's big data platform to be fast, efficient and scalable.
Advice, Big Data, Cloud Computing, Data Engineering, Data Science, MOOC, SQL
- Four questions to help accurately scope analytics engineering project - Oct 9, 2019.
Being really good at scoping analytics projects is crucial for team productivity and profitability. You can consistently deliver on time if you work out the issue first, and these four questions can help you prepare.
Analytics, Data Engineering, dbt, Deployment
- The thin line between data science and data engineering - Sep 25, 2019.
Today, as companies have finally come to understand the value that data science can bring, more and more emphasis is being placed on the implementation of data science in production systems. And as these implementations have required models that can perform on larger and larger datasets in real-time, an awful lot of data science problems have become engineering problems.
Data Engineering, Data Science, Podcast
- Mongo DB Basics - Jun 5, 2019.
Mongo DB is a document oriented NO SQL database unlike HBASE which has a wide column store. The advantage of Document oriented over relation type is the columns can be changed as an when required for each case as opposed to the same column name for all the rows.
Big Data, Data Engineering, Data Science, MongoDB
- 7 “Gotchas” for Data Engineers New to Google BigQuery - Mar 28, 2019.
Here are some things that might take some getting used to when new to Google BigQuery, along with mitigation strategies where I’ve found them.
BigQuery, Data Engineer, Data Engineering, Google
- On Building Effective Data Science Teams - Mar 4, 2019.
We take a look at the qualities that make a successful data team in order to help business leaders and executives create better AI strategies.
CRISP-DM, Data Analyst, Data Engineering, Data Governance, Data Science Team, Machine Learning Engineer
- Things you should know when traveling via the Big Data Engineering hype-train - Oct 8, 2018.
Maybe you want to join the Big Data world? Or maybe you are already there and want to validate your knowledge? Or maybe you just want to know what Big Data Engineers do and what skills they use? If so, you may find the following article quite useful.
Big Data, Big Data Hype, Data Engineering, Hype
A Winning Game Plan For Building Your Data Science Team - Sep 18, 2018.
We need to understand the responsibilities, capabilities, expectations and competencies of the Data Engineer, Data Scientist and Business Stakeholder.
Data Engineering, Data Science, Data Science Team
- Scientific debt – what does it mean for Data Science? - May 23, 2018.
This article analyses scientific debt - what it is and what it means for data science.
Business, Data Engineering, Data Science, DataCamp, Technical Debt
- A Beginner’s Guide to Data Engineering – Part II - Mar 15, 2018.
In this post, I share more technical details on how to build good data pipelines and highlight ETL best practices. Primarily, I will use Python, Airflow, and SQL for our discussion.
Pages: 1 2
AirBnB, Data Engineering, Data Science, ETL, Pipeline, Python, SQL
37 Reasons why your Neural Network is not working - Aug 22, 2017.
Over the course of many debugging sessions, I’ve compiled my experience along with the best ideas around in this handy list. I hope they would be useful to you.
Pages: 1 2
Data Engineering, Data Preparation, Gradient Descent, Neural Networks
5 Career Paths in Big Data and Data Science, Explained - Feb 6, 2017.
Sexiest job... massive shortage... blah blah blah. Are you looking to get a real handle on the career paths available in "Data Science" and "Big Data?" Read this article for insight on where to look to sharpen the required entry-level skills.
Big Data, Career, Data Analyst, Data Engineering, Data Infrastructure, Data Science, Explained, Machine Learning
- Why the Data Scientist and Data Engineer Need to Understand Virtualization in the Cloud - Jan 25, 2017.
This article covers the value of understanding the virtualization constructs for the data scientist and data engineer as they deploy their analysis onto all kinds of cloud platforms. Virtualization is a key enabling layer of software for these data workers to be aware of and to achieve optimal results from.
Pages: 1 2
Cloud, Data Engineer, Data Engineering, Data Science, Data Scientist, Virtualization
