Sat.Sep 02, 2023 - Fri.Sep 08, 2023

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ETL vs. ELT?

Waitingforcode

In our social media and marketing-driven era, it's quite hard to get things right. For me there is one common misconception brought by the Modern Data Stack idea that everything should be now ELT. In fact no, it shouldn't but only can.

Media 228
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Eliminate The Overhead In Your Data Integration With The Open Source dlt Library

Data Engineering Podcast

Summary Cloud data warehouses and the introduction of the ELT paradigm has led to the creation of multiple options for flexible data integration, with a roughly equal distribution of commercial and open source options. The challenge is that most of those options are complex to operate and exist in their own silo. The dlt project was created to eliminate overhead and bring data integration into your full control as a library component of your overall data system.

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What Is SSIS and Should You Use It?

Seattle Data Guy

SSIS, short for SQL Server Integration Service, is an essential data migration tool for modern businesses. As a key part of Microsoft’s SQL database software, It allows you to easily complete many complex tasks, including data extraction, merging data, loading and transformation, aggregating data, and more. It’s a comprehensive solution to your data management needs.

IT 130
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Threads: The inside story of Meta’s newest social app

Engineering at Meta

Earlier this year, a small team of engineers at Meta started working on an idea for a new app. It would have all the features people expect from a text-based conversations app, but with one very key, distinctive goal – being an app that would allow people to share their content across multiple platforms. We wanted to build a decentralized (or federated) app that would enable people to post content that is viewable by anyone on other social apps, and vice versa.

Media 142
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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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Getting Started with Python Data Structures in 5 Steps

KDnuggets

This tutorial covers Python's foundational data structures - lists, tuples, dictionaries, and sets. Learn their characteristics, use cases, and practical examples, all in 5 steps.

Python 123
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Top 20 Software Development Courses in 2023

Knowledge Hut

As a seasoned software developer with almost a decade of experience in the tech industry, I vividly remember the excitement of taking my first web development course. Back then, I was just starting my journey as a front-end web developer, and that course was a stepping-stone that transformed my career. Today, I am thrilled to share my insights on some of the top software development courses available, hoping to empower aspiring developers like you to find the perfect path to success.

More Trending

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Using Chakra execution traces for benchmarking and network performance optimization

Engineering at Meta

Meta presents Chakra execution traces , an open graph-based representation of AI/ML workload execution, laying the foundation for benchmarking and network performance optimization. Chakra execution traces represent key operations, such as compute, memory, and communication, data and control dependencies, timing, and resource constraints. In collaboration with MLCommons , we are seeking industry-wide adoption for benchmarking.

Metadata 101
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Time 100 AI: The Most Influential?

KDnuggets

Time Magazine just released its Time 100 AI list, spotlighting 100 key figures in AI across categories such as leaders and innovators. The list aims to highlight the human effort behind AI advancements. The list serves as a snapshot of how mainstream media views the AI landscape, offering a mix of familiar and new names in the field.

Media 103
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Top Scrum Alliance Certifications That Pay Well in 2023

Knowledge Hut

Scrum Alliance training is crucial when it comes to proving competency in project management practices. A good Scrum Alliance certification can imminently help you to excel in your career. It is a versatile Agile Project Management framework suitable for any industry. Scrum Alliance certifications not only help to improve an organization's productivity but are also widely responsible for improving product qualities, risk mitigation, and robust team dynamics.

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What’s New for Shared Clusters in Unity Catalog

databricks

We are thrilled to announce great enhancements to onboard more workloads to Unity Catalog clusters in shared access mode, Databricks' highly efficient, secure.

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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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Design and Deployment Considerations for Deploying Apache Kafka on AWS

Confluent

Want to run Kafka on AWS? Our full tutorial provides expert recommendations on how to deploy, monitor, and manage Kafka clusters on AWS.

Kafka 98
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Data Cleaning with Pandas

KDnuggets

This step-by-step tutorial is for beginners to guide them through the process of data cleaning and preprocessing using the powerful Pandas library.

Data 113
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Fast-tracking vs Crashing

Knowledge Hut

Projects undergo a multitude of challenges when they begin or start. What commences as a simple activity may undergo a series of alterations - due to unknown or unforeseen constraints. To face and overcome such adversities, the project manager needs to rely on ways or techniques of playing a balancing act. For constraints related to the project schedule, the two schedule compression techniques of fast tracking and crashing come in very handy in critical situations.

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Retail Personalization with RFM Segmentation and the Composable CDP

databricks

Check out our Solution Accelerator for RFM Segmentation for more details and to download the notebooks. For retail brands, effective customer engagement depends.

Retail 97
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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Access a Vast Library of Satellite Imagery with New EarthCache Add-In for ArcGIS Pro

ArcGIS

Access a vast collection of satellite imagery with new EarthCache add-In for ArcGIS Pro.

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Building Microservice for Multi-Chat Backends Using Llama and ChatGPT

KDnuggets

As LLMs continue to evolve, integrating multiple models or switching between them has become increasingly challenging. This article suggests a Microservice approach to separate model integration from business applications and simplify the process.

Building 100
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Building a Control Plane for Lyft’s Shared Development Environment

Lyft Engineering

Background Note : This publication assumes you have basic familiarity with the service mesh pattern (e.g. Istio, Linkerd, Envoy  — created at Lyft!) in microservice architectures. In addition, it is recommended you read the 2021 precursor post written by my colleague, Matt Grossman. Lyft runs hundreds of microservices to power the company’s offerings.

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Expanding Possibilities: Cloudera’s Teen Accelerator Program Completes Its Second Year

Cloudera

At Cloudera, we’re known for making innovative technological solutions that drive change and impact the world. Our mission is to make data and analytics easy and accessible to everyone. And that doesn’t end with our customer base. We also aim to provide equitable access to career opportunities within data and analytics to the workforce of tomorrow.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Announcing Databricks Bengaluru Development Center

databricks

In May this year, we opened our latest development center in Bengaluru, India. We've been busy building out our R&D teams in India.

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Building a Formula 1 Streaming Data Pipeline With Kafka and Risingwave

KDnuggets

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.

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How to Run Apache Kafka on Windows

Confluent

Kafka-on-Windows tutorials are everywhere, but most run Kafka directly on Windows.

Kafka 113
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How Toyota Financial Services Optimizes Performance and Cost with Snowflake

Snowflake

Snowflake’s fully managed platform helps minimize TCO by achieving faster time to insights and production, decreasing unplanned downtime and operational risks, and reducing business costs through customers paying only for actual usage. Snowflake also eliminates software license fees and recovers storage and server costs. Additionally, Snowflake reduces infrastructure costs, administrative efforts and maintenance so you can reallocate technology resources to higher-value business priorities.

Retail 83
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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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How Tenable Executes DataOps with Monte Carlo and Snowflake

Monte Carlo

In this article: Unlocking the power of data for improved cyber security Custom monitors for operational checks Monitors as Code Get started with these examples Monitoring applications with Monte Carlo and Snowflake Unlocking the power of data for improved cyber security The Tenable One Exposure Management Platform allows organizations to gain a comprehensive view of their attack surface and vulnerabilities to prevent likely attacks and accurately communicate cyber risk.

Kafka 75
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Introduction to Databases in Data Science

KDnuggets

Understand the relevance of databases in data science. Also learn the fundamentals of relational databases, NoSQL database categories, and more.

Database 112
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What’s it like to write code at Meta?

Engineering at Meta

Ever wonder what it’s like to write code at Meta’s scale? On the latest episode of the Meta Tech Podcast , Meta engineer Pascal Hartig ( @passy ) sits down with Dustin Shahidehpour and Katherine Zak, two software engineers at Meta, about their careers and what it’s really like to ship code at Meta. Why does Meta have a monorepo?

Coding 78
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How to Analyze Java Class at Runtime Using Java Reflection API?

Workfall

Reading Time: 10 minutes What is Reflection API? Reflection API is one of the best features in Java. A programmer can use this API to write any logic for classes that will be generated in the future. In simple words, it refers to the ability of a running Java program to look at itself and understand its own internal details. It allows the program to examine and access information about its own components, such as the names of its variables and functions.

Java 70
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Easy and Instant Insurance Quotes Using Data Streaming with Confluent Cloud

Confluent

Using microservices, Confluent connectors, and stream processing on applicant data, historical data, actuarial tables, and predictive modeling to instantly generate insurance quotes.

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Python Basics: Syntax, Data Types, and Control Structures

KDnuggets

Want to learn Python? Get started today by learning Python's syntax, supported data types, and control structures.

Python 123
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Introducing Databricks Bengaluru Development Center

databricks

In May this year, we opened our latest development center in Bengaluru, India. We've been busy building out our R&D teams in India.

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Snowflake Snowpark: Overview, Benefits, and How to Harness Its Power

Ascend.io

In the fast-evolving landscape of cloud data solutions, Snowflake has consistently been at the forefront of innovation, offering enterprises sophisticated tools to optimize their data management. The introduction of Snowflake Snowpark is yet another leap forward, transforming data warehousing and revolutionizing the way customers engage with this platform.

IT 59
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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.