Start Data Engineering

FEBRUARY 22, 2022

1. Introduction 2. CI 3. Sample project: Data testing with Github Actions 3.1. Prerequisites 3.2. Project overview 3.3. Automating data tests with Github Actions 4. Conclusion 5. Further reading 1. Introduction Automated testing is crucial for ensuring that your code is bug-free and avoiding regressions. If you are wondering How can data tests be integrated into a CI (Continuous Integration) pipeline?

Data 130

Data Coding Project Systems 130

Marc Lamberti

FEBRUARY 21, 2022

Airflow dynamic DAGs can save you a ton of time. As you know, Apache Airflow is written in Python, and DAGs are created via Python scripts. That makes it very flexible and powerful (even complex sometimes). By leveraging Python, you can create DAGs dynamically based on variables, connections, a typical pattern, etc. This very nice way of generating DAGs comes at the price of higher complexity and subtle tricky things that you must know.

Python 130

Python Metadata Coding Process 130

KDnuggets

FEBRUARY 14, 2022

Calculus is the key to fully understanding how neural networks function. Go beyond a surface understanding of this mathematics discipline with these free course materials from MIT.

Deep Learning 160

Deep Learning Machine Learning 160

Netflix Tech

FEBRUARY 18, 2022

By: Ankush Gulati , David Gevorkyan Additional credits: Michael Clark , Gokhan Ozer Intro Netflix has more than 220 million active members who perform a variety of actions throughout each session, ranging from renaming a profile to watching a title. Reacting to these actions in near real-time to keep the experience consistent across devices is critical for ensuring an optimal member experience.

Systems 133

Systems Architecture Portfolio Designing 133

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Confluent

FEBRUARY 24, 2022

A few years ago I helped build an event-driven system for gym bookings. The pitch was that we were building a better experience for both the gym members booking different […].

Systems 124

Systems Building Data 124

Data Engineering Podcast

FEBRUARY 27, 2022

Summary There are a wealth of options for managing structured and textual data, but unstructured binary data assets are not as well supported across the ecosystem. As organizations start to adopt cloud technologies they need a way to manage the distribution, discovery, and collaboration of data across their operating environments. To help solve this complicated challenge Krishna Subramanian and her co-founders at Komprise built a system that allows you to treat use and secure your data wherever

Unstructured Data 100

Unstructured Data Cloud Management Metadata 100

DataKitchen

FEBRUARY 8, 2022

The post New Data Horizons: Data Prep, Data Visualization, and Data Catalogs Are Ready for Prime Time first appeared on DataKitchen.

Data 98

Data 98

KDnuggets

FEBRUARY 17, 2022

There's no free lunch in machine learning. So, determining which algorithm to use depends on many factors from the type of problem at hand to the type of output you are looking for. This guide offers several considerations to review when exploring the right ML approach for your dataset.

Machine Learning 159

Machine Learning Algorithm Datasets 159

Netflix Tech

FEBRUARY 9, 2022

by Sam Setegne, Jai Balani, Olek Gorajek Glossary asset ?—?any business logic code in a raw (e.g. SQL) or compiled (e.g. JAR) form to be executed as part of the user defined data pipeline. data pipeline ?—?a set of tasks (or jobs) to be executed in a predefined order (a.k.a. DAG) for the purpose of transforming data using some business logic. Dataflow ?

Data Pipeline 82

Data Pipeline Management Scala Python 82

Confluent

FEBRUARY 18, 2022

As data flows in and out of your Confluent Cloud clusters, it’s imperative to monitor their behavior. Bring Your Own Monitoring (BYOM) means you can configure an application performance monitoring […].

Cloud 119

Cloud Data 119

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Data

Data Engineering Podcast

FEBRUARY 27, 2022

Summary Building a data platform is a complex journey that requires a significant amount of planning to do well. It requires knowledge of the available technologies, the requirements of the operating environment, and the expectations of the stakeholders. In this episode Tobias Macey, the host of the show, reflects on his plans for building a data platform and what he has learned from running the podcast that is influencing his choices.

Designing 100

Designing Metadata Data Lake Relational Database 100

Cloudera

FEBRUARY 10, 2022

After the launch of Cloudera DataFlow for the Public Cloud (CDF-PC) on AWS a few months ago, we are thrilled to announce that CDF-PC is now generally available on Microsoft Azure, allowing NiFi users on Azure to run their data flows in a cloud-native runtime. . With CDF-PC, NiFi users can import their existing data flows into a central catalog from where they can be deployed to a Kubernetes based runtime through a simple flow deployment wizard or with a single CLI command.

Cloud 115

Cloud Kafka AWS Data Ingestion 115

ProjectPro

FEBRUARY 28, 2022

Facial Expression Recognition (FER) based technologies are an integral part of the emotion recognition market, which is anticipated to reach $56 billion by 2024—detecting Emotions? Using AI? Can we really do that? The answer is YES! One can easily build a facial emotion recognition project in Python. Continue reading to find the answer to how you can do that.

Coding 52

Coding Project Deep Learning Datasets 52

KDnuggets

FEBRUARY 8, 2022

A collection of cheat sheets that will help you prepare for a technical interview, assessment tests, class presentation, and help you revise core data science concepts.

Data Science 160

Data Science Data 160

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

Manufacturing

Netflix Tech

FEBRUARY 1, 2022

By Karen Casella, Director of Engineering, Access & Identity Management Have you ever experienced one of the following scenarios while looking for your next role? You study and practice coding interview problems for hours/days/weeks/months, only to be asked to merge two sorted lists. You apply for multiple roles at the same company and proceed through the interview process with each hiring team separately, despite the fact that there is tremendous overlap in the roles.

Engineering 82

Engineering Recruitment Entertainment Software Engineer 82

Confluent

FEBRUARY 3, 2022

A common challenge organizations face is how to extract, transform, and load (ETL) Salesforce data into a data warehouse, so that the business can use the data. Salesforce (SFDC) is […].

Data Warehouse 105

Data Warehouse Data Cloud 105

Data Engineering Podcast

FEBRUARY 20, 2022

Summary The life sciences as an industry has seen incredible growth in scale and sophistication, along with the advances in data technology that make it possible to analyze massive amounts of genomic information. In this episode Guy Yachdav, director of software engineering for ImmunAI, shares the complexities that are inherent to managing data workflows for bioinformatics.

Systems 100

Systems Software Engineer Software Engineering Data Warehouse 100

Cloudera

FEBRUARY 1, 2022

Okay, I admit, the title is a little click-batey, but it does hold some truth! I spent the holidays up in the mountains, and if you live in the northern hemisphere like me, you know that means that I spent the holidays either celebrating or cursing the snow. When I was a kid, during this time of year we would always do an art project making snowflakes.

Deep Learning 110

Deep Learning Datasets Coding Machine Learning 110

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Systems

ProjectPro

FEBRUARY 25, 2022

What is a Machine Learning Pipeline? A machine learning pipeline helps automate machine learning workflows by processing and integrating data sets into a model, which can then be evaluated and delivered. A well-built pipeline helps in the flexibility of the model implementation. A pipeline in machine learning is a technical infrastructure that allows an organization to organize and automate machine learning operations.

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52

KDnuggets

FEBRUARY 11, 2022

Here are a few approaches that I have settled on for managing my own reusable Python code as a data scientist, presented from most to least general code use, and aimed at beginners.

Coding 155

Coding Python Management Data 155

Hepta Analytics

FEBRUARY 24, 2022

Week 3 was about data warehousing, working on the data that was ingested in the week 2. We will take the already ingested data and create an external table from it and optimize the performance of queries through partitioning and clustering. Then automate the whole process using airflow. There are two systems types when dealing with data: Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP).

Data Warehouse 52

Data Warehouse Data Engineering Data Engineer Engineering 52

Rockset

FEBRUARY 24, 2022

Event-based architectures have been gaining popularity for some time. With increased adoption has come a flood of options for aggregating and analyzing events. Which databases are optimized for ingesting streaming events and analyzing them in real time? The answer is complex, nuanced and heavily dependent on the precise problem being solved. This post is intended to help anyone seeking to make a selection from a difficult to understand landscape.

AWS 52

AWS Amazon Web Services Kafka SQL 52

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Project

Data Engineering Podcast

FEBRUARY 20, 2022

Summary Python has grown to be one of the top languages used for all aspects of data, from collection and cleaning, to analysis and machine learning. Along with that growth has come an explosion of tools and engines that help power these workflows, which introduces a great deal of complexity when scaling from single machines and exploratory development to massively parallel distributed computation.

Python 100

Python Data Process IT Building 100

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists. This unprecedented level of big data workloads hasn’t come without its fair share of challenges.

Metadata 109

Metadata Datasets BI SQL 109

ProjectPro

FEBRUARY 25, 2022

When the world was under lockdown and movement was restricted to an absolute emergency- millions were introduced to the world of online shopping. The convenience of online shopping helped e-commerce platforms record historic sales. While that happened, it is no surprise that the rate of online financial fraud also increased incredibly. Online fraud cases using credit and debit cards saw a historic upsurge of 225 percent during the COVID-19 pandemic in 2020 as compared to 2019.

Machine Learning 52

Machine Learning Project Algorithm Datasets 52

KDnuggets

FEBRUARY 21, 2022

A collection of cheat sheets that will help you prepare for a technical interview on Data Structures & Algorithms, Machine learning, Deep Learning, Natural Language Processing, Data Engineering, Web Frameworks.

Data Science 154

Data Science Deep Learning Algorithm Machine Learning 154

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

Government

Confluent

FEBRUARY 23, 2022

In many ways, Storyblocks’ technical journey has mirrored that of most other startups and disruptors: Start small and as simple as possible (i.e., with a PHP monolith) Watch the company […].

Cloud 52

Cloud 52

Pipeline Data Engineering

FEBRUARY 22, 2022

Data engineering salon. News and interesting reads about the world of data. We’ve only scratched the surface of the full potential for the data warehouse Mikkel Dengsøe, Head of Data Science, Operations & Financial Crime, Monzo Bank Why I think the data warehouse will become the control centre for modern companies Git, SQL, CLI Vicki Boykis, Machine Learning Engineer, Automattic I’ve narrowed it down to three basic tools.

Data Warehouse 52

Data Warehouse Banking Metadata Data Science 52

Data Engineering Podcast

FEBRUARY 13, 2022

Summary Collecting, integrating, and activating data are all challenging activities. When that data pertains to your customers it can become even more complex. To simplify the work of managing the full flow of your customer data and keep you in full control the team at Rudderstack created their eponymous open source platform that allows you to work with first and third party data, as well as build and manage reverse ETL workflows.

Building 100

Building Hadoop Data Pipeline Metadata 100

Cloudera

FEBRUARY 17, 2022

CDP Private Cloud Base is an on-premises version of Cloudera Data Platform (CDP). This new product combines the best of Cloudera Enterprise Data Hub and Hortonworks Data Platform Enterprise along with new features and enhancements across the stack. This unified distribution is a scalable and customizable platform where you can securely run many types of workloads.

Cloud 100

Cloud Data Professional Services Metadata 100

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Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.

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