Mon.Dec 18, 2023

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Mentoring software engineers or engineering leaders

The Pragmatic Engineer

I get asked every now and then if I offer 1:1 mentoring for either software engineers or engineering managers or leaders. While I used to do this in the past, I don't offer this any more. I collected much of the advice I have to offer for software engineers in The Software Engineer's Guidebook. I also write The Pragmatic Engineer Newsletter where I do cover topics like what it means to be a senior engineer at various companies , how to deal with a low-quality engineering culture , and

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Unlocking the Power of Containers: Exploring the Top 20 Docker Containers for Every Development Need

Analytics Vidhya

Introduction Docker containers have emerged as indispensable tools in the fast-evolving landscape of software development and deployment, providing a lightweight and efficient way to package, distribute, and run applications. This article delves into the top 20 Docker containers across various categories, showcasing their features, use cases, and contributions to streamlining development workflows.

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Free Harvard Course: Introduction to AI with Python

KDnuggets

Looking for a great course to learn Artificial Intelligence with Python? Check out this free course from Harvard University.

Python 136
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Snowflake Announces Agreement to Acquire Samooha to Simplify Building Interoperable Data Clean Rooms in the Data Cloud

Snowflake

When businesses share sensitive first-party data with outside partners or customers, they must do so in a way that meets strict governance requirements around security and privacy. Data clean rooms have emerged as the technology to meet this need, enabling interoperability where multiple parties can collaborate on and analyze sensitive data in a governed way without exposing direct access to the underlying data and business logic.

Cloud 117
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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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5 Solid Reasons To Align Your Business Goals With Content Marketing

Knowledge Hut

Content Marketing is all about serving interests of your prospects through relevant, informative, and crisp pieces of content. The only key to unlock its potential is identifying what your customers actually want. The all new technique of content marketing has completely transformed the way the brands or businesses used to communicate with their prospects.

Media 98
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 Empowering Innovation Responsibly: AI-Focused Data Leaders to Watch in 2024

Snowflake

With the race to incorporate AI, and now gen AI, into their business technology toolboxes, data leaders find themselves faced with new opportunities—and challenges. Some CDOs have embraced the added responsibility with new letters in their acronyms, becoming CDAIOs. With or without a new title, most have been tasked with driving AI innovation within their organizations while mitigating risks to reputation and revenues.

More Trending

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Empowering Innovation Responsibly: AI-Focused Data Leaders to Watch in 2024

Snowflake

With the race to incorporate AI, and now gen AI, into their business technology toolboxes, data leaders find themselves faced with new opportunities—and challenges. Some CDOs have embraced the added responsibility with new letters in their acronyms, becoming CDAIOs. With or without a new title, most have been tasked with driving AI innovation within their organizations while mitigating risks to reputation and revenues.

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Predict & Analyze marketing campaign effectiveness with SAP Datasphere and Databricks Data Intelligence Platform

databricks

An effective campaign can help improve a company's revenue by increasing the sales of its products, clearing out more stock, bringing in more.

Data 75
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5 Use Cases of DALLE-3

KDnuggets

Learn how you can use DALL-E 3 to make your life a little bit easier (or a lot).

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Simplify and Accelerate Your Data Streaming Workloads With an Intuitive User Experience

Confluent

Confluent’s cloud data streaming platform introduces new features to accelerate workloads: Message Browser, Resource Management Access, and Global Search Optimization.

Cloud 57
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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Connecting DBeaver to PostgreSQL via JDBC Driver

Hevo

PostgreSQL is an open-source Relational Database taking the world by storm, both on the ground and up there in the Cloud. It is one of the most advanced Relational Databases offering standard SQL features along with some modern ones like triggers, transaction integrity, etc.

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Using modules for Testcontainers with Golang

Zalando Engineering

Introduction Testcontainers for Go enables developers to run easily tests against containerized dependencies. In our previous articles, you can find an introduction of Integration tests with Testcontainers and explore how to write Functional tests with Testcontainers (in Java). This blog post will deep dive into how to use modules and a common issue for Testcontainers with Golang.

Java 49
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Manual Testing Vs Automation Testing: Which One Should You Choose?

Edureka

Software testing is a crucial phase in the software development life cycle as it guarantees that the software operates as intended. The distinctions between Manual Testing Vs Automation Testing will be covered in this blog. Automating a process allows it to follow predetermined steps precisely and mechanically. Similar to an agile artist, manual testing depends on human intuition and exploration to adjust to the unexpected details of software behavior.

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Data Observability Trends for 2024 | Acceldata

Acceldata

Acceldata's CEO and co-founder, Rohit Choudhary, explains how data observability will impact enterprises in all fields in the coming year.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Data Engineering Weekly #153

Data Engineering Weekly

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Visit rudderstack.com to learn more. Lorin Hochstein: “Human error” means they don’t understand how the system worked The post is not directly related to Data Engineering but system operations in general.

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Most Common Use Cases of Data Engineering in Manufacturing

phData: Data Engineering

Data engineering refers to the design of systems that are capable of collecting, analyzing, and storing data at a large scale. In manufacturing, data engineering aids in optimizing operations and enhancing productivity while ensuring curated data that is both compliant and high in integrity. The increased efficiency in data “wrangling” means that more accurate modeling and planning may be done, enabling manufacturers to make stronger data-driven decisions.

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ML-Based Forecasting and Anomaly Detection in Snowflake Cortex, Now in GA

Snowflake

Historically, only a few AI experts within an organization could develop insights using machine learning (ML) and predictive analytics. Yet in this new wave of AI, democratizing ML to more data teams is crucial—and for Snowflake SQL users, it’s now a reality. With the general availability of ML-based forecasting and anomaly detection functions in Snowflake Cortex, data analysts and other SQL users can now build more accurate forecasts and identify outliers for their time-series data in Snowflake

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