Sat.Apr 09, 2022 - Fri.Apr 15, 2022

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What is the difference between a data lake and a data warehouse?

Start Data Engineering

Introduction Data lakes and data warehouses Data lake Data warehouse Criteria to choose lake and warehouse tools Conclusion Further reading References Introduction With the data ecosystem growing fast, new terms are coming up every week. Some of the most popular ones include “data lakes” and “data warehouses” If you are Trying to understand the differences between a data lake and a data warehouse Frustrated by vendor marketing content aimed at selling their lake/warehouse

Data Lake 130
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5 Different Ways to Load Data in Python

KDnuggets

Data is the bread and butter of a Data Scientist, so knowing many approaches to loading data for analysis is crucial. Here, five Python techniques to bring in your data are reviewed with code examples for you to follow.

Python 160
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The Reasons for Data Mesh on Pulsar

Jesse Anderson

Data mesh is quickly becoming a way for companies to roll out their data strategy. If you haven’t already learned about data mesh , I suggest doing so. It comes with organizational and technical changes. I think a crucial part of your data mesh revolves around the choice of publish/subscribe technologies. At the crux of data mesh is a desire for flexibility.

Kafka 124
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How Apache Kafka Works: An Introduction to Kafka’s Internals

Confluent

It’s not difficult to get started with Apache Kafka®. Learning resources can be found all over the internet, especially on the Confluent Developer site. If you are new to Kafka, […].

Kafka 125
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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DataOps As A Service For Your Data Integration Workflows With Rivery

Data Engineering Podcast

Summary Data engineering is a practice that is multi-faceted and requires integration with a large number of systems. This often means working across multiple tools to get the job done which can introduce significant cost to productivity due to the number of context switches. Rivery is a platform designed to reduce this incidental complexity and provide a single system for working across the different stages of the data lifecycle.

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Data Science Interview Guide – Part 2: Interview Resources

KDnuggets

Check out these resources to help you prepare for your data science Interview, or for those who are brushing up on their technical skills or who want to start learning data science.

More Trending

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How Netflix Content Engineering makes a federated graph searchable

Netflix Tech

By Alex Hutter , Falguni Jhaveri and Senthil Sayeebaba Over the past few years Content Engineering at Netflix has been transitioning many of its services to use a federated GraphQL platform. GraphQL federation enables domain teams to independently build and operate their own Domain Graph Services (DGS) and, at the same time, connect their domain with other domains in a unified GraphQL schema exposed by a federated gateway.

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Synthetic Data As A Service For Simplifying Privacy Engineering With Gretel

Data Engineering Podcast

Summary Any time that you are storing data about people there are a number of privacy and security considerations that come with it. Privacy engineering is a growing field in data management that focuses on how to protect attributes of personal data so that the containing datasets can be shared safely. In this episode Gretel co-founder and CTO John Myers explains how they are building tools for data engineers and analysts to incorporate privacy engineering techniques into their workflows and val

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Answering Questions with HuggingFace Pipelines and Streamlit

KDnuggets

See how easy it can be to build a simple web app for question answering from text using Streamlit and HuggingFace pipelines.

Building 153
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Responsible AI: Ways to Avoid the Dark Side of AI Use

AltexSoft

“AI systems (will) take decisions that have ethical grounds and consequences.”. Prof. Dr. Virginia Dignum from Umeå University. On March 23, 2016, Microsoft released its AI-based chatbot Tay via Twitter. The bot was trained to generate its responses based on interactions with users. But there was a catch. Various users started posting offensive tweets toward the bot, resulting in Tay making replies in the same language.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Stop Trying to be a Digital Bank

Teradata

Digitization is necessary, but not sufficient to meet evolving customer demands & create the bank of the future. Use data analytics to help customers achieve their goals not deliver better apps.

Banking 98
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Data In Motion: NASA and Aurica

Cloudera

Some 300 million years ago, Earth had one continent called Pangea. Over millions of years, that vast single land mass broke up and drifted in different directions, creating the seven continents that exist today. . Since the planet changed so dramatically over millennia, it raises an obvious question: How will it change in the future? The same forces, plate tectonics and continental drift, that broke up Pangea hundreds of millions of years ago still exert themselves.

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The Complete Collection Of Data Repositories – Part 2

KDnuggets

Check out the collection of the best data repositories on healthcare, natural language, neuroscience, physics, social network, sports, time series, transportation, miscellaneous, and super data repositories.

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Harness Trusted, Quality Data Streams with Confluent Platform 7.1

Confluent

Streaming data has become critical to the success of modern businesses. Leveraging real-time data enables companies to deliver the rich, digital experiences and data-driven backend operations that delight customers. For […].

Data 59
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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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It’s the ROI that Matters when Migrating to the Cloud

Teradata

Agility & innovation are the primary benefits enabled by a move to the cloud, but the initial focus is often on reducing the total cost of ownership. But this is only the first stage!

Cloud 75
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#Clouderalife Volunteer Spotlight: Dániel Omaisz-Takács

Cloudera

April 11 is “Inter” National Pet Day, a day dedicated to celebrating the pets and animals in our lives and communities. . While Pet Day is the perfect moment to show some extra love to the pets in our lives – Cloudera wants to take this opportunity to also recognize a Cloudera volunteer who goes above and beyond to care for the welfare and health of animals outside of his family – Dániel Omaisz-Takács.

Medical 82
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Python Libraries Data Scientists Should Know in 2022

KDnuggets

Let's have a look at the Python libraries that every data scientist should know in 2022, to maintain and improve their coding journey.

Python 138
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5 Ways to Improve Data Quality with the New Monte Carlo Data Quality Trends Dashboard

Monte Carlo

Monte Carlo recently launched an updated Dashboard view as part of our efforts to equip our customers with the best tools to tackle their data downtime issues effectively seamlessly. The Dashboard incorporates data and visualization to provide actionable insights to users across data teams. Our customers use these features to gain visibility into how their incident levels are trending, the status of incident resolution, the health of custom monitors, team specific data, and other data health ins

Bytes 52
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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Pipeline Academy Setting Trends at the EdTech Awards

Pipeline Data Engineering

Finalists and winners for The EdTech Awards 2022 have been announced to a worldwide audience of educators, technologists, students, parents, and policymakers interested in building a better future for learners and leaders in the education and workforce sectors. The EdTech Awards were established in 2010 to recognise, acknowledge, and celebrate the most exceptional innovators, leaders, and trendsetters in education technology.

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Hotjar.com™ feedback widget in Ionic v3 mobile apps

nodeSWAT

_Note: This solution is making use of undocumented features and inner workings of Hotjar feedback widget and is not guaranteed to work or might break if Hotjar decides to change something inside their code. I am in no way affiliated with Hotjar.com ™ and can not offer any support regarding these matters._ I had a request the other day to integrate Hotjar.com™ feedback widget into our iOS and Android mobile applications which run on Ionic v3.

Coding 52
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How to Write Engaging Technical Blogs

KDnuggets

Learn the rules for writing technical blogs, and increase unique views tenfold. Focusing on title, images, vocabulary, code blocks, writing style, and social media promotion can help you build a solid brand.

Media 108
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Navigating the Maze of Azure Data Certifications

A Cloud Guru: Data Engineering

It’s no secret that the Azure certification exam ecosystem can be tricky to navigate. There are lots of certs that are frequently updated or retired, and new ones get added all the time. Today, we’ll dive in a specific corner of the maze that is the world of Azure Data certifications. Find out what certifications […] The post Navigating the Maze of Azure Data Certifications appeared first on A Cloud Guru.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Rockset Goes on the Road!

Rockset

In-person data and analytics events are back in full swing, and Rockset will be at three events in the span of one week this April. Rockset exhibiting at AWS re:Invent 2021 in Las Vegas AWS Summit San Francisco You can catch us first at AWS Summit SF , April 20th and 21st, at Moscone Center South in San Francisco. Visit us at booth #609 to enter to win our live PlayStation 5 raffle at the end of day one of the conference.

Food 52
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Vanquish Toil: 9 Data Engineering Processes Ripe For Automation

Monte Carlo

Data teams love the idea of automating data engineering processes in principle. After all, who doesn’t want to move faster and eliminate the time consuming, boring aspects of their job? But even time-strapped, technically savvy engineers will sometimes squirm when the suggestion is made to automate a specific task. We’ve felt it ourselves. There are often understandable reasons for this hesitation: An upfront investment of time and/or resources The change management needed to modify related proc

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Top 5 Reasons Why You Should Avoid a Data Science Career

KDnuggets

The intent of this article is to give you a reality check of what are the personality traits of a typical data scientist before you dip your feet in the ocean of the big shiny world of data science.

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Functional tests with Testcontainers

Zalando Engineering

In this article, I will show how teams at Zalando Marketing Services are using functional tests. We will follow the idea of functional tests: the main concept and the attributes of a good functional test. Then, we will discuss an example based on the TestContainers library used in the Spring environment. You can find an introduction to the TestContainers library in my previous article Integration tests with Testcontainers , because that is out of the scope of this one.

Java 52
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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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??Kafka Summit London 2022: Welcoming the ??Apache Kafka Community Back to In-Person Events!

Confluent

In just a few weeks’ time, the Apache Kafka® community will be convening for Kafka Summit London 2022—its first in-person event in over two years. The conference is being held […].

Kafka 52
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Handling Out-of-Order Data in Real-Time Analytics Applications

Rockset

This is the second post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Posts published so far in the series: Why Mutability Is Essential for Real-Time Data Analytics Handling Out-of-Order Data in Real-Time Analytics Applications Handling Bursty Traffic in Real-Time Analytics Applications SQL and Complex Queries

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Data Visualization in Python with Seaborn

KDnuggets

Learn to create beautiful charts in Python using the Seaborn library.

Python 159
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Top Posts April 4-10: The Complete Collection Of Data Repositories – Part 1

KDnuggets

Also: Decision Tree Algorithm, Explained; 8 Free MIT Courses to Learn Data Science Online; Why Are So Many Data Scientists Quitting Their Jobs?; Top Programming Languages and Their Uses.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.