Sat.Mar 11, 2023 - Fri.Mar 17, 2023

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How to Build an On-Call Culture in a Data Engineering Team

Towards Data Science

Systematically resolve data issues in production Continue reading on Towards Data Science »

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Top 5 SQL Interview Questions With Implementation

Analytics Vidhya

Introduction In today’s world, technology has increased tremendously, and many people are using the internet. This results in the generation of so much data daily. This generated data is stored in the database and will maintain it. SQL is a structured query language used to read and write these databases. In simple words, SQL is used […] The post Top 5 SQL Interview Questions With Implementation appeared first on Analytics Vidhya.

SQL 202
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The Collapse of Silicon Valley Bank

The Pragmatic Engineer

It’s been a wild weekend, starting Friday. In case you somehow missed it: we went through the fastest bank run in history, in an event that impacted about half of all VC-funded startups in the US and UK. On Friday night, Silicon Valley Bank (SVB) was shut down by regulators, triggering a weekend of fear and uncertainty for many people and businesses with questions like: “can we make payroll next week?

Banking 187
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Introduction to Apache Spark History

Waitingforcode

If you need to go back in time and analyze your past Apache Spark applications, you can use the native Apache Spark History server. However, it can also be an infrastructure problem because of the continuously increasing historical logs for streaming applications. In this blog post we'll try to understand this component and to see different configuration options.

IT 130
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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Data News — Week 23.11

Christophe Blefari

Took a few days with the ☀️ ( credits ) Hey you, I hope you had a great week. On my side I'm slowly starting to get on top of the things I had in queue. But, sadly, I work in LIFO so I feel that I'm never done. For people that are not use to it it means last in, first out. Which means that I get easily disturbed by a notification—or even a thought—and do something that I did not plan to do at first.

Data 130
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Top 6 Azure Synapse Analytics Interview Questions

Analytics Vidhya

Introduction Microsoft Azure Synapse Analytics is a robust cloud-based analytics solution offered as part of the Azure platform. It is intended to assist organizations in simplifying the big data and analytics process by providing a consistent experience for data preparation, administration, and discovery. It connects with various data sources and allows organizations to analyze their […] The post Top 6 Azure Synapse Analytics Interview Questions appeared first on Analytics Vidhya.

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Amazon doubling down on return to office

The Pragmatic Engineer

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Announcing FawltyDeps - a dependency checker for your Python code

Tweag

It is a truth universally acknowledged that the Python packaging ecosystem is in need of a good dependency checker. In the least, it’s our hope to convince you that Tweag’s new dependency checker, FawltyDeps, can help you maintain an environment that is minimal and reproducible for your Python project, by ensuring that required dependencies are explicitly declared and detecting unused dependencies.

Python 134
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5 git Commands your Grandma uses.

Confessions of a Data Guy

The post 5 git Commands your Grandma uses. appeared first on Confessions of a Data Guy.

Data 130
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Multi-label NLP: An Analysis of Class Imbalance and Loss Function Approaches

KDnuggets

In this comprehensive article, we have demonstrated that a seemingly simple task of multi-label text classification can be challenging when traditional methods are applied. We have proposed the use of distribution-balancing loss functions to tackle the issue of class imbalance.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Snowflake Connector for ServiceNow Available in Public Preview

Snowflake

ServiceNow, Inc. offers a well-known SaaS application, with companies in multiple industries using it to help manage digital workloads for a variety of departments and operations. What if it was as easy as just a few clicks to get ServiceNow data directly into your Snowflake account so you could combine it with other data sources, including ERPs, HRs, and CRMs?

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Setting Uber’s Transactional Data Lake in Motion with Incremental ETL Using Apache Hudi

Uber Engineering

Uber’s Global Data Warehouse team leveraged Apache Hudi to drastically improve performance of traditional batch ETL pipelines by going incremental, improving business-critical data’s freshness, quality, and completeness.

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How Will Artificial Intelligence Help Good Managers Become Great?

U-Next

Introduction – Adaptation and Evolution of AI in Management Several businesses use Machine Learning and Artificial Intelligence in management. The most significant AI tools are based on a vast amount of data, recognizing patterns, learning from them, and making definitive predictions. AI is becoming popular in project management because of its exceptional capacity to track particular trends and predict project situations and results.

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5 More Command Line Tools for Data Science

KDnuggets

Use these tools to Access API, Manipulate CSV files, download datasets, and more from your terminal.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Career stories: Military commander turned Trust & Safety manager

LinkedIn Engineering

Avery's career in military IT took an unexpected turn when he caught wind of a LinkedIn Trust & Safety (QA) manager opportunity in his hometown of Omaha, Nebraska. Now charged with keeping our LinkedIn platform safe, he shares his career transition into tech, and how his team has supported him as a dad and U.S. Army National Guard cyber-protection commander.

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Get started with new role-based onboarding trainings for Databricks Lakehouse Platform

databricks

The demand for data, analytics, and AI talent continues to grow as organizations in every industry adopt new technologies to become more efficient.

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Web Services in Cloud Computing: Definition, Types, and Various Architecture

U-Next

Introduction Cloud computing architecture is straightforward and lists all of its constituent parts and subparts in detail. Cloud computing is unquestionably here to stay. 60% of corporate data from companies is stored in the cloud, and cloud computing thus makes up a massive part of the corporate world. The benefits of cloud computing include adaptability, storage, sharing, upkeep, and many more.

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GPT-4: Everything You Need To Know

KDnuggets

A new model by OpenAI with improved natural language generation and understanding capabilities.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Cloudera DataFlow Designer: The Key to Agile Data Pipeline Development

Cloudera

We just announced the general availability of Cloudera DataFlow Designer , bringing self-service data flow development to all CDP Public Cloud customers. In our previous DataFlow Designer blog post , we introduced you to the new user interface and highlighted its key capabilities. In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development.

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Production-Ready and Resilient Disaster Recovery for DLT Pipelines

databricks

Disaster recovery is a standard requirement for many production systems, especially in the regulated industries. As many companies rely on data to make.

Systems 87
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Podcast Transcript Episode 2: Product Thinking For Entrepreneurs With Mr. Praveen Udupa, Co-founder, eedge.ai

U-Next

Mr. Bhaskaran, Chief Academic Officer, UNext Learning Hello and welcome to Portal, Powered By Jigsaw (Now UNext). This is one of the most interesting spaces on the Internet for organizational stakeholders like us to discuss the futuristic world of in-demand technologies, in-demand competencies, job markets and employability, work culture, AI dominance, and more Digital transformation still seems to be a buzzword and a lot of companies are pondering its benefits such businesses and organizat

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What Are The Downsides of AI Advancement?

KDnuggets

While AI has certainly several positive uses to offer the world, it’s also displaying harm when it comes to academics, cybersecurity, the environment, jobs, and privacy.

IT 112
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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Align, Engage and Rave: 3 Things I Wish I Knew as Chief Data Officer

Cloudera

Align everything to corporate strategy I lead data and analytics at Cloudera. We’re called Cloudera Data Analytics (CDA). How very clever. Prior to forming the group, it was imperative to understand Cloudera’s corporate strategy: corporate objectives, product strategy, go-to-market strategy, key metrics and KPI. Our CDA charter must be aligned with corporate strategy, but shouldn’t everything we do be aligned?

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Real-Time Insights: The Top Three Reasons Why Customers Love Data Streaming with Databricks

databricks

The world operates in real-time The ability to make real-time decisions in today's fast paced world is more critical than ever before. Today's.

Data 90
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What Is Data and Time Function in Java?

U-Next

Introduction Technology is always evolving, as are the programming languages used to develop it. The Java programming language is one of the most widely employed languages in the software world. The programming language is used in practically every sector, including application or web development, Big Data, Machine Learning, Artificial Intelligence, mobile development, and so on.

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OpenChatKit: Open-Source ChatGPT Alternative

KDnuggets

OpenChatKit enables developers to fine-tune the model, maintain context in dialog, moderate responses, and effortlessly build their own custom chatbot applications.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.

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Concurrently Train Multiple Time Series Models Over Spark with XGBoost

Towards Data Science

Take advantage of the distributive power of Apache Spark and concurrently train thousands of auto-regressive time-series models on big data Photo by Ricardo Gomez Angel on Unsplash 1. Intro Suppose you have a large dataset consisting of your customers’ hourly transactions, and you were tasked with helping your company forecast and identify anomalies in their transaction patterns.

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Building the Lakehouse for Healthcare and Life Sciences - Processing DICOM images at scale with ease

databricks

One of the biggest challenges in understanding patient health status and disease progression is unlocking insights from the vast amounts of semi-structured and.

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How to Successfully Convert Cold Calls into Sales Meetings?

U-Next

Introduction Many businesses dislike the word “ cold calls “; however, if done correctly, cold calls in sales may be a very efficient method for gaining new clients and qualifying prospects. Despite significant shifts in how consumers buy these days, cold calling is still an essential factor to explore for any external sales activity.

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9 Top Platforms to Practice Key Data Science Skills

KDnuggets

Which platforms would I recommend as a go-to for learning and practicing data science skills? The list would change every day, depending on my mood. Here’s today’s list with an overview of each platform.

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A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Some takeaways include: How to test and evaluate results 📊 Why confidence scoring matters 🔐 How to assess cost and quality 🤖 Cross-platform cost vs. quality tr