Wed.Feb 08, 2023

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Top 6 Amazon Redshift Interview Questions

Analytics Vidhya

Introduction Amazon Redshift is a fully managed, petabyte-scale data warehousing Amazon Web Services (AWS). It allows users to easily set up, operate, and scale a data warehouse in the cloud. Redshift uses columnar storage techniques to store data efficiently and supports data warehousing workloads intelligence, reporting, and analytics. It allows users to perform complex queries […] The post Top 6 Amazon Redshift Interview Questions appeared first on Analytics Vidhya.

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ChatGPT for Coding: Unleash the Power of ChatGPT

Edureka

We are introduced to new discoveries and technologies every day, and one of the best and most popular inventions today is artificial intelligence (AI) and its tools. One of them is Chat GPT, a conversational model of AI that is a powerful chatbot that answers follow-up questions and writes code for the users. The day it was launched, everybody was going gaga over the new technology and the remarkable uses of this AI-powered chatbot.

Coding 130
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Data Warehouse Interview Questions

Analytics Vidhya

source: svitla.com Introduction Before jumping to the data warehouse interview questions, let’s first understand the overview of a data warehouse. A data warehouse is a system used for collecting and managing large amounts of data from various sources, such as transactional systems, log files, and external data sources. The data is then organized and structured […] The post Data Warehouse Interview Questions appeared first on Analytics Vidhya.

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Apache Kafka Beyond the Basics: Windowing

Confluent

Learn what windowing is, the difference between the four types of windows (hopping and tumbling, or session and sliding), and how to create them.

Kafka 140
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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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February DataHour: Enhance Your Skills with Expert Sessions

Analytics Vidhya

Introduction The February installment of the webinar series is now open! It’s a farewell time to your quest for finding the ideal data science learning platform, as Analytics Vidhya has arrived. Explore your ultimate data science destination where the emphasis is on supporting the community and fostering professional development. Attend expert-led DataHour sessions to boost […] The post February DataHour: Enhance Your Skills with Expert Sessions appeared first on Analytics Vidhya.

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Linear Programming 101 for Data Scientists

KDnuggets

This post provides an overview of topics in linear programming, history, and recent advances, software packages, common problem specifications, and a case study using Toronto shelters data and the PuLP software package.

More Trending

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Running a NixOS VM on macOS

Tweag

In this post I want to explore the current issues with developing parts of NixOS on macOS and how we can make this task easier. Why would I want to run a NixOS virtual machine on macOS? My colleague at Tweag, Dominic Steinitz, asked me this question after I shared my first minor achievement in this area, and it struck me that I have never described why exactly I run virtual machines (VMs) on my laptop and why I want to make it easier for myself (and others).

Systems 101
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KDnuggets News, February 8: SQL and Python Interview Questions for Data Analysts • 20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 2

KDnuggets

SQL and Python Interview Questions for Data Analysts • 20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 2 • ChatGPT for Beginners • Python String Matching Without Complex RegEx Syntax • Learn Data Engineering From These GitHub Repositories

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Storybook cartography

ArcGIS

How to make your maps look like storybook illustrations.because storybook illustrations!

Education 103
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Optimizing Python Code Performance: A Deep Dive into Python Profilers

KDnuggets

In this article, we will take an in-depth look at the profilers in Python to assist in optimizing the performance of our code.

Python 108
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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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Spark Technical Debt Deep Dive

Cloudera

How Bad is Bad Code: The ROI of Fixing Broken Spark Code Once in a while I stumble upon Spark code that looks like it has been written by a Java developer and it never fails to make me wince because it is a missed opportunity to write elegant and efficient code: it is verbose, difficult to read, and full of distributed processing anti-patterns. One such occurrence happened a few weeks ago when one of my colleagues was trying to make some churn analysis code downloaded from GitHub work.

Java 56
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Chip Huyen shares frameworks and case studies for implementing ML systems

KDnuggets

Chip Huyen’s new interactive course shares frameworks, case studies and live coding/infrastructure examples to help your team avoid these pitfalls and successfully leverage ML.

Systems 81
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NatWest Helps Customers Track Their Carbon Footprint with the Snowflake Data Cloud

Snowflake

With 19 million customers, NatWest is a household name in banking. We talked to David Charnley, the bank’s Head of Strategy and Transformation for Data and Analytics, to learn how Snowflake’s Data Cloud is providing new insights into customer activities. Providing services to around 19 million Retail, Commercial & Institutional, and Wealth customers, NatWest is a household name in the UK, and also has a presence in Asia, the US, and Europe.

Cloud 52
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Reactjs Developer Salary in India

Edureka

Reactjs is a JavaScript library that was developed and maintained by Facebook. It is primarily used for building user interfaces and is known for its fast rendering and ability to handle complex UI updates and animations. Reactjs is also highly scalable, making it a popular choice for both small and large web applications. With a strong community of developers and a large pool of resources and tutorials, Reactjs has become one of the most sought-after skills in web development today.

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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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Salesforce Marketing Cloud to Azure Data Integration: 3 Best Ways

Hevo

Salesforce’s marketing cloud (SFMC) scored 23.9% of the market share in 2022 CRM share. It’s more than the score of its rivals SAP, Oracle, Microsoft, and Adobe combined. This report tells us how much the data from SFMC helps businesses. Now comes the nitty-gritty of technical aspects such as data integration.

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NatWest Helps Customers Track Their Carbon Footprints with the Snowflake Data Cloud

Snowflake

With 19 million customers, NatWest is a household name in banking. We talked to David Charnley, the bank’s Head of Strategy and Transformation for Data and Analytics, to learn how Snowflake’s Data Cloud is providing new insights into customer activities. Providing services to around 19 million Retail, Commercial & Institutional, and Wealth customers, NatWest is a household name in the UK, and also has a presence in Asia, the US, and Europe.

Cloud 52
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Introducing FreshBI’s Construction Profit Pocket Dash

FreshBI

According to Deloitte’s 2023 Construction Industry Outlook , preparation is key for the year ahead. As supply chain issues, material cost escalation, and labour shortages continue to challenge all aspects of the construction industry, companies must differentiate themselves to capture growth in an increasingly volatile and competitive market. But how does one prepare?

BI 52
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What is spreadsheet modelling? Meaning, features and usage

Edureka

Businesses generate a huge amount of data as part of their daily operations. There is a wealth of information from which the companies can derive valuable insights into the business. They can use the data to predict future events. One of the most important tools for such analysis is the spreadsheet. They use the tool for modelling and manipulating information, creating visualisations and using them to make better decisions.

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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.

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What is Apache Kafka Used For?

ProjectPro

Did you know thousands of businesses, including over 80% of the Fortune 100, use Apache Kafka to modernize their data strategies? Apache Kafka is the most widely used open-source stream-processing solution for gathering, processing, storing, and analyzing large amounts of data. The platform has many benefits, including building data pipelines , using real-time data streams, supporting operational analytics, and integrating data from various sources.

Kafka 52
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Sales & Distribution Management: Overview and Applications

Edureka

Every company earns from selling what they produce. It could be goods or services. It is important that the products they make reach the consumer and get paid. Companies make their profits from what they sell. Sales are very important for every organisation without which it cannot survive. Most companies also depend on a network of intermediaries to give customers access to the goods.

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From Zero to ETL Hero-A-Z Guide to Become an ETL Developer

ProjectPro

ETL developers play a vital role in designing, implementing, and maintaining the processes that help organizations extract valuable business insights from data. In this blog, we’ll explore what an ETL developer does, the ETL developer skills required to excel in this role, the exciting ETL developer job opportunities available today, and the guide to becoming an ETL Developer.

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What is an Executive MBA For Working Professionals?

Edureka

It is more than just fresh graduates and employees with less experience who wish to improve their skill sets and gain more knowledge of the subject. Even those with quite a few years of experience working in a particular department can look to gain more expertise in the field. They may not be able to attend a full-time course to add a certificate to their qualification.

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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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Announcing Acceldata’s $50M Series C Funding

Acceldata

Rohit Choudhary, CEO of enterprise data observability leader, Acceldata, announces Acceldata's $50 million Series C funding round.

Data 52
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Telefonica Spain's Next-Best Action and Speech Analytics with ClearScape Analytics Increases Satisfaction

Teradata

Telefonica Spain's Next-Best Action and Speech Analytics with ClearScape Analytics Increases Satisfaction

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How to Empower Citizen Data Science and Self-Service Analytics with Data Observability

Acceldata

Read on to find out how to empower Citizen Data Science and Self-Service Analytics with Data Observability

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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

Do ETL and data integration activities seem complex to you? AWS Glue is here to put an end to all your worries! Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 billion by 2026? Businesses are leveraging big data now more than ever.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Building Mobile Apps with React Native: Step by Step Tutorial

Edureka

Are you tired of juggling between different codebases to build your mobile apps for iOS and Android? Say hello to React Native , the game-changing framework that allows you to build high-performance, native-like apps with just one codebase. With React Native , you can leverage the power of JavaScript and React to create apps that are not only cost-effective but also have a sleek and polished look and feel.

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How Retailers Modernize Operations and Reporting with the Snowflake Retail Data Cloud 

Snowflake

A modern data infrastructure is essential for retailers looking to stay competitive today. Companies are abandoning more traditional, on-premises IT infrastructures and moving to more centralized “as a service” (XaaS) models of delivery enabled by cloud technologies, according to McKinsey. Aging on-premises infrastructures are unable to meet demands for agility and innovation, eating up too much time and too many resources for teams trying to maintain them.

Retail 52
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Top Interview Questions on Change Management in 2023

Edureka

As times change, so do the interview questions posed to leaders and managers who specialize in leading teams and organizations through transition. And while some core concepts remain the same, others require deeper reflection on handling the ever-evolving business landscape. 2023 is no exception. Change management professionals must be prepared to face some of the toughest questions when interviewing for a new job.

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Self-Service as a Productivity Enabler for Experts

The Modern Data Company

When discussing self-service tools for data and analytics, people usually place their focus on the goal of enabling non-experts to do more things for themselves. While enabling citizen data scientists, citizen data engineers, and others to do more with data and analytics is a noble goal, there is another perspective to consider. The same tools and functionality that experts implement to democratize data and enable non-experts to do more can simultaneously be used by experts to increase their own

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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