Confessions of a Data Guy

SEPTEMBER 13, 2024

Did you know there are only 3 types of Data Engineers? It’s true. I hope you are the right one. The post The 3 Types of Data Engineers. appeared first on Confessions of a Data Guy.

Data Engineer 100

Data Engineer Data Engineering Engineering Data 100

Christophe Blefari

SEPTEMBER 13, 2024

Back to work ( credits ) Hey you, can you believe it's already September? This year has been flying. It feels like I just blinked, and here we are. In August, I've been focusing mainly on my next big journey—if you follow me on LinkedIn, you might have caught a sneak peek! I'll be making a full announcement next week. I want to take the time to explain my thought process and ideas behind it.

Pipeline-centric 100

Pipeline-centric Data Python Data Science 100

KDnuggets

SEPTEMBER 13, 2024

Learn how to use the OpenAI o1-preview & o1-mini for decision-making, coding, and building an end-to-end machine learning project from scratch.

Machine Learning 115

Machine Learning Coding Project Building 115

RandomTrees

SEPTEMBER 13, 2024

The health and efficiency of machines are a priority in the rapidly evolving industrial world today. With more industries now relying heavily on complicated machinery, there has been an increasing need for effective monitoring and maintenance strategies over time. One of the most exciting solutions to this problem entails deploying Azure IoT monitoring devices to monitor machine health.

Cloud Computing 52

Cloud Computing Machine Learning Cloud Algorithm 52

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

BI

KDnuggets

SEPTEMBER 13, 2024

Learn how to install ClickHouse DBMS, create a database, and run SQL queries using native and Python clients.

Database 117

Database SQL Python Data Engineering 117

Scott Logic

SEPTEMBER 13, 2024

Machine learning (ML) is no longer just a concept for the future, it is now a vital part of many everyday applications. From personalised recommendations on streaming services and self-driving cars to detecting fraud in banking and advancements in healthcare, ML is changing the way industries work. For a test engineer, the increasing use of ML brings new challenges and opportunities.

Medical 52

Medical Hospitality Datasets Machine Learning 52

Hevo

SEPTEMBER 13, 2024

As the dependency on high-quality, real-time data availability increases, the need for event/data streaming tools becomes increasingly crucial. Apache Kafka has become one of the most trending event streaming platforms, and its popularity has led to wide organizational acceptance in various functions related to large-scale real-time data streams.

Kafka 52

Kafka Data Engineering Data Engineer Engineering 52

Confluent

SEPTEMBER 13, 2024

Learn how EMEA People Manager Martin Holmes fosters a positive environment for his Global Technical Support team and the customers they serve.

Management 52

Management 52

Hevo

SEPTEMBER 13, 2024

Every business based on data-driven insights in the modern data ecosystem needs effective ETL tools. Your choice of ETL will go a long way in affecting the efficiency, speed, and cost of your data operations.

ETL Tools 40

ETL Tools IT Data 40

Snowflake

SEPTEMBER 13, 2024

Snowflake has always been committed to helping customers protect their accounts and data. To further our commitment to protect against cybersecurity threats and to champion the advancement of industry standards for security, Snowflake recently signed the Cybersecurity and Infrastructure Security Agency (CISA) Secure By Design Pledge. In line with CISA’s Secure By Design principles, we recently announced a number of security enhancements in the platform — most notably the general availability of

Consulting 87

Consulting Designing IT Data 87

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