Mon.Dec 26, 2022

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Crafting Serverless ETL Pipeline Using AWS Glue and PySpark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview ETL (Extract, Transform, and Load) is a very common technique in data engineering. It involves extracting the operational data from various sources, transforming it into a format suitable for business needs, and loading it into data storage systems. Traditionally, ETL processes are […].

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How to Plan a Cybersecurity Strategy for Your Small Business

Smart Data Collective

Do you think a small business owner need not worry about cyberattacks? 46% of all cyberattacks impact businesses with less than 1000 employees. Small businesses have fewer resources to invest in the security paradigm. That’s why; hackers find it easy to attack such vulnerable systems instead of large corporations who have spent millions of dollars on cybersecurity.

Strategy 130
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Top 5 Interview-Winning Edge Computing Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this constantly growing technical era, everybody wants faster and smarter computing that provides usage information. Edge computing is a kind of networking philosophy that brings processing capabilities closer to the end-user or the source of data to decrease latency and bandwidth […].

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Data Warehouse Migration: How to Make This Strategic Move

Octopai

Ever moved house? It’s time-consuming, labor-intensive and psychologically stressful. How about moving an Amazon fulfillment center? One of Amazon’s biggies, the area of 28 football fields with tens of millions of products in it. And hundreds of robots that move in a stunning synchronized dance together with the hundreds of human employees to get out tens of thousands of packages a day.

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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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MongoDB Replication and Sharding- A Complete Introduction

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A NoSQL database is a non-relational database that does not use the traditional table-based schema of a relational database. NoSQL databases are often used for big data and real-time web applications. The main advantages of using a NoSQL database are that NoSQL […].

Big Data 235
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IoT and Big Data: Challenges and Applications

ScienceSoft

IoT generates volumes of big data which can be applicable to achieve progress in a number of sectors. However, there are specific features in IoT big data collecting, processing and applying which need to be considered in IoT development.

IoT 52

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Get Great ROI and TCO for Tally ERP with Integrated Analytics!

Smarten

Improve Tally ERP TCO and ROI and Make Your Business Users Happy with Integrated Analytics! Gartner predicts that, ‘overall analytics adoption will increase from 35% to 50%, driven by vertical- and domain-specific augmented analytics solutions.’ One of the fastest growing analytics sectors is in finance, accounting and other revenue and expense-related business functions.

ROI 52
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GCP: The Future of Cloud Computing

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Source: Image by Albrecht Fietz from Pixabay Google Cloud Platform, or GCP for short, is like a big house with many different rooms. Each room is called a “server,” where websites, apps, and other online stuff live. Imagine you have a really […]. The post GCP: The Future of Cloud Computing appeared first on Analytics Vidhya.

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Trading in a Digitalized World: How to Navigate Volatility With Everyday AI

Dataiku

Over the years, traders have utilized complex models to follow price trends, predict the duration of commodities cycles, and analyze the impact of new policies in local markets. Data access and quality are major pieces to guaranteeing the operation of these models. But for those who think that digitalisation only benefited trading teams by improving their models' capabilities, the full picture is more complex.

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Case Study: Restaurant’s Insights using PySpark & Databricks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Innovations and new technologies are transforming the world in many facets. The Internet, the web, and smartphones have become a necessity of today’s life. The manual to digital transition in work has already occurred in developed nations. By using modern technologies, developing countries […].

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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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Streamlit Tutorial: Building Web Apps with Code Examples

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Streamlit is an open-source tool to build and deploy data applications with less coding compared to other front-end technologies like HTML, CSS, and JavaScript. It is a low-code tool specifically designed for building data science applications. Moreover, the Streamlit library has functions […].