Start Data Engineering

SEPTEMBER 4, 2024

1. Introduction 2. Key parts of data systems: 2.1. Requirements 2.2. Data flow design 2.3. Orchestrator and scheduler 2.4. Data processing design 2.5. Code organization 2.6. Data storage design 2.7. Monitoring & Alerting 2.9. Infrastructure 3. Conclusion 1. Introduction If you are trying to break into (or land a new) data engineering job, you will inevitably encounter a slew of data engineering tools.

Data Engineering 130

Data Engineering Data Engineer Engineering Data Storage 130

Confessions of a Data Guy

SEPTEMBER 4, 2024

Over the many years I’ve been pounding my keyboard … Perl, PHP, Python, C#, Rust … whatever … I, like most programmers, built up a certain disdain for what is called Low Code / No Code solutions. In my rush to worship at the feet of the code we create, I failed, in the beginning, […] The post Streaming Postgres data to Databricks Delta Lake in Unity Catalog appeared first on Confessions of a Data Guy.

Python 100

Python Coding Data Big Data 100

Engineering at Meta

SEPTEMBER 4, 2024

We are working in partnership with others to scale inclusive solutions that support the transition to a zero-carbon economy and help create a healthier planet for all.

Engineering 111

Engineering Data 111

Confessions of a Data Guy

SEPTEMBER 4, 2024

Polars is the hot new Rust based Python Dataframe tool that is taking over the world and destryoing Pandas even as we speak. You want the quick and dirty introduction to Polars? Look no farther. The post Introduction to Polars in 2 Minutes appeared first on Confessions of a Data Guy.

Python 100

Python Data Data Engineering Data Engineer 100

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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

databricks

SEPTEMBER 4, 2024

Data teams spend way too much time troubleshooting issues, applying patches, and restarting failed workloads. It's not uncommon for engineers to spend their.

Engineering 108

Engineering IT Data 108

Scott Logic

SEPTEMBER 4, 2024

Our team had previously built a tool to investigate code quality from PR data. Building on this work, we set about finding a method to detect AI-written code, so we could investigate any potential differences in code quality between human and AI-written code. During our time on this project, we learnt some important lessons, including just how hard it can be to detect AI-written code, and the importance of good-quality data when conducting research.

Coding 72

Coding Datasets Programming Language Python 72

Hevo

SEPTEMBER 4, 2024

A data warehouse is a centralized system that stores, integrates, and analyzes large volumes of structured data from various sources. It is predicted that more than 200 zettabytes of data will be stored in the global cloud by 2025.

Data Warehouse 72

Data Warehouse Structured Data Data Cloud 72

Precisely

SEPTEMBER 4, 2024

According to the Women in Tech Network , women make up about 35 percent of the tech workforce. While this number has grown over the years, it still indicates that technology is a male-dominated industry. Precisely is committed to creating a supportive environment for women to build their careers so that this number can continue growing. As a result, the Precisely Women in Technology (PWIT) network was developed.

Technology 64

Technology Food Computer Science Programming 64

Confluent

SEPTEMBER 4, 2024

How to use Flink AI model inference with familiar SQL syntax to work directly with LLMs and vector databases for your generative AI use cases.

SQL 69

SQL Database 69

Striim

SEPTEMBER 4, 2024

The world is generating an astonishing amount of data every second of every day. It reached 64.2 zettabytes in 2020, and is projected to mushroom to over 180 zettabytes by 2025, according to Statista. Modern problems require modern solutions — which is why businesses across industries are moving away from batch processing and towards real-time data streams, or streaming data.

Machine Learning 52

Machine Learning Datasets Data Systems 52

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

Monte Carlo

SEPTEMBER 4, 2024

Picture this: You’re leading a meeting, ready to present the latest sales figures. But, as you start sharing the numbers, someone points out a glaring inconsistency. Suddenly, the room is filled with doubt—about the data, the insights, and, let’s face it, even your judgment. A data quality dashboard is your safety net in these situations. It’s more than a tool—it’s a real-time report card on the health of your data.

Building 52

Building Business Analyst Data Designing 52

phData: Data Engineering

SEPTEMBER 4, 2024

This article was co-written by Lynda Chao & Tess Newkold With the growing interest in AI-powered analytics, ThoughtSpot stands out as a leader among legacy BI solutions known for its self-service search-driven analytics capabilities. ThoughtSpot offers AI-powered and lightning-fast analytics, a user-friendly semantic engine that is easy to learn, and the ability to empower users across any organization to quickly search and answer data questions.

BI 52

BI Hospitality Healthcare Pharmaceutical 52

KDnuggets

SEPTEMBER 4, 2024

Check out this list of resources for different types of interviews.

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Edureka

SEPTEMBER 4, 2024

Deciding which path to follow between Application Development vs Web Development is a decision that should not be taken lightly. They are both relevant and promising. In both areas, there are numerous opportunities. This guide will help to introduce each one, to state what it is that they do, the skills required, and how they may differ in terms someone with little or no background in sociology can understand.

Programming Language 40

Programming Language Java Utilities Media 40

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

KDnuggets

SEPTEMBER 4, 2024

Here are five must-know R packages for data analysis in R.

Data Analysis 85

Data Analysis Data Programming 85

Hevo

SEPTEMBER 4, 2024

In this fast-changing world of data analytics, choosing the right tool for data transformation is one of the keys. Grown in this sector, dbt, or what is popularly known as the data build tool, is a significant solution for SQL-based data transformations, keeping workflows properly and well-documented by data teams inside data warehouses.

Data Warehouse 40

Data Warehouse SQL Data Analytics Building 40

KDnuggets

SEPTEMBER 4, 2024

Learn how to acquire data you need with Pandas filter syntax.

Data 68

Data Python 68

Hevo

SEPTEMBER 4, 2024

Currently, data management is a continually developing field that requires careful consideration when deciding which solution should be implemented to store, process, and analyze data effectively. There are two forms that are frequently selected: data warehouse vs data lake.

Data Lake 40

Data Lake Data Warehouse Data Data Management 40

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

Hevo

SEPTEMBER 4, 2024

Data is the new currency in today’s world, helping industries make decisions and innovations. To use data to its full potential, organizations require powerful tools to manage, transform, and analyze vast amounts of it. Various tools are available, among which Alteryx and Matillion stand out as two of the leading ETL solutions.

Management 40

Management IT Data Data Pipeline 40