Tue.Feb 21, 2023

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A Guide to Top Cloud Engineer Interview Questions

Analytics Vidhya

Introduction Cloud engineers are responsible for building and monitoring cloud-based systems. They must deeply understand cloud technology, platform architecture, data science, and system integration. Are you preparing for a cloud engineer interview? Do you want to stand out and land your dream job? Look no further! This post will cover the top cloud engineer interview questions […] The post A Guide to Top Cloud Engineer Interview Questions appeared first on Analytics Vidhya.

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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” By Robert Thanaraj , Ehtisham Zaidi , and 2 more. Gartner suggests in the article that successful Data Engineering teams have two crucial challenges. How to optimize Data Team Productivity – essentially that teams should avoid adding more bodies whenever they have more work that needs to be done.

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Understanding the Basics of Data Warehouse and its Structure

Analytics Vidhya

Introduction Nowadays, the corporate environment changes according to technology. Organizations are converting them to cloud-based technologies for the convenience of data collecting, reporting, and analysis. This is where data warehousing is a critical component of any business, allowing companies to store and manage vast amounts of data. It provides the necessary foundation for businesses to […] The post Understanding the Basics of Data Warehouse and its Structure appeared first on Analy

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10 ways to accelerate digital transformation

CIO Business Intelligence

The pandemic-era push to quickly boost digital touchpoints and services proved that transformation can happen fast. That has left a lasting legacy: Even as the pandemic recedes, enterprise executives continue to expect CIOs and their IT departments to deliver transformative capabilities at a rapid-fire pace. If you think you’re keeping up, think again: One recent study from research firm Gartner found that the majority of CEOs (59%) say digital initiatives take too long and 52% take too long to

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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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Topic Modeling Using Latent Dirichlet Allocation (LDA)

Analytics Vidhya

Introduction The internet is a wealth of knowledge and information, which may confuse readers and make them use more time and energy looking for accurate information about particular areas of interest. To recognize and analyze content in online social networks (OSNs), there is a need for more effective techniques and tools, especially for those who […] The post Topic Modeling Using Latent Dirichlet Allocation (LDA) appeared first on Analytics Vidhya.

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Data Cleaning with Python Cheat Sheet

KDnuggets

An intuitive guide that will help you to prepare and preprocess your dataset before applying the machine learning model.

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SQL Interviews Preparations Material Resources

KDnuggets

SQL is a must-known programming language for data people, and many modern jobs have SQL as a prerequisite. Here are material collections to prepare for your SQL interview.

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Top 5 SQL Interview Questions

Analytics Vidhya

Introduction SQL is a database programming language created for managing and retrieving data from Relational databases like MySQL, Oracle, and SQL Server. SQL(Structured Query Language) is the common language for all databases. In other terms, SQL is a language that communicates with databases. It is a query language used to store and retrieve data from […] The post Top 5 SQL Interview Questions appeared first on Analytics Vidhya.

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SQL Streambuilder Data Transformations

Cloudera

SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL as a part of Cloudera Streaming Analytics, built on top of Apache Flink. It enables users to easily write, run, and manage real-time continuous SQL queries on stream data and a smooth user experience. Though SQL is a mature and well understood language for querying data, it is inherently a typed language.

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What Heineken’s CIO is brewing for better connectivity

CIO Business Intelligence

As a 159-year-old family business, Dutch brewing company Heineken owes its longevity to a steady stream of innovation. Founded by entrepreneur Gerard Adriaan Heineken in 1864, who sought to renovate an old brewery in the center of Amsterdam, the beer company that would later bear his name has become synonymous with Dutch beer, readily recognizable from its green bottle with red star label.

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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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The Future Is Now: How We Can Create a More Inclusive and Equitable AI Landscape

Dataiku

AI has brought significant changes to various industries, but what happens when AI perpetuates inequality and harm? Inclusivity is often overlooked when developing AI systems, which leads to repeated inequalities, particularly for Black end users, with harmful effects when scaled. As data practitioners and end users, we must work to improve our AI systems to prevent such failures.

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SAP Helps Apple Innovate With SAP Business Technology Platform

Timo Elliott

Apple uses SAP to create applications for their staff. For more details, check out this article by Bob Evans of Acceleration Economy and Cloud Wars: SAP Helps Apple Slash Innovation Cycles by 40% “Apple can unleash new applications 40% faster thanks to its deep collaboration with SAP around its Business Technology Platform and the co-creation initiatives the two long-time partners have established…Apple is now able to deliver new apps to its employees in less than six weeks.

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Black and…Exploring the Diversity of Blackness

DataRobot Blog

I wanted to be a star, not a gallery mascot. Jean Michel-Basquiat Black History Month is a time for reflection and working to achieve a greater understanding of the Black experience for all. Since diversity is often reduced through inclusion or homogenization, many Black people feel the need to either put their blackness first or choose between their history and their identity.

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How SafeGraph built a reliable, efficient, and user-friendly Apache Spark platform with Amazon EMR on Amazon EKS

AWS Big Data

This is a guest post by Nan Zhu, Tech Lead Manager, SafeGraph, and Dave Thibault, Sr. Solutions Architect – AWS SafeGraph is a geospatial data company that curates over 41 million global points of interest (POIs) with detailed attributes, such as brand affiliation, advanced category tagging, and open hours, as well as how people interact with those places.

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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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A hybrid approach in healthcare data warehousing with Amazon Redshift

AWS Big Data

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. Data warehouses are mostly built using the dimensional model approach, which has consistently met business needs. Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challeng

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Build a data storytelling application with Amazon Redshift Serverless and Toucan

AWS Big Data

This post was co-written with Django Bouchez, Solution Engineer at Toucan. Business intelligence (BI) with dashboards, reports, and analytics remains one of the most popular use cases for data and analytics. It provides business analysts and managers with a visualization of the business’s past and current state, helping leaders make strategic decisions that dictate the future.