Sat.May 28, 2022 - Fri.Jun 03, 2022

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21 Cheat Sheets for Data Science Interviews

KDnuggets

This article has researched and presents the best data science cheat sheets from around the internet, so you don’t have to do it yourself.

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Azure Data Factory: How to edit default parameter definition for ARM templates?

Azure Data Engineering

ARM or Azure Resource Manager templates make it easy to manage deployments for Data Factory. When we connect Data Factory to a source control repository (e.g. GitHub or Azure DevOps Git), the data factory along with all its artefacts ( pipelines , datasets , linked services etc.) is saved in the repository in the form of ARM templates. We can then create DevOps pipelines to manage deployments by overriding the parameters to deploy to the production environments.

Datasets 130
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Making Confluent Cloud 10x More Elastic Than Apache Kafka

Confluent

Kafka is horizontally scalable, but it's not enough. So we made Confluent Cloud 10x more elastic - 10x faster to scale up to GB/s or down to zero, easier to use, and cost-effective.

Kafka 115
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Moving Enterprise Data From Anywhere to Any System Made Easy

Cloudera

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Over the last few years, we have had a front-row seat in our customers’ hybrid cloud journey as they expand their data estate across the edge, on-premise, and multiple cloud providers.

Systems 110
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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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Top Posts May 23-29: The Complete Collection of Data Science Books – Part 2

KDnuggets

Also: Decision Tree Algorithm, Explained; Data Science Projects That Will Land You The Job in 2022; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; Naïve Bayes Algorithm: Everything You Need to Know.

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A Multipurpose Database For Transactions And Analytics To Simplify Your Data Architecture With Singlestore

Data Engineering Podcast

Summary A large fraction of data engineering work involves moving data from one storage location to another in order to support different access and query patterns. Singlestore aims to cut down on the number of database engines that you need to run so that you can reduce the amount of copying that is required. By supporting fast, in-memory row-based queries and columnar on-disk representation, it lets your transactional and analytical workloads run in the same database.

More Trending

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Urban Institute Enacts Real Social and Policy Change Using Data

Cloudera

Imagine you’re the superintendent of a school district and you discover that your district has a problem with bullying. How do you go about enacting an informed policy that will help stem that problem? Where would you find the data to support your decision? Even if you could collect all the data around bullying incidents in the district over the past several years, do you have the time and knowledge to analyze that data?

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How to Become a Machine Learning Engineer

KDnuggets

A machine learning engineer is a programmer proficient in building and designing software to automate predictive models. They have a deeper focus on computer science, compared to data scientists.

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Data Cloud Cost Optimization With Bluesky Data

Data Engineering Podcast

Summary The latest generation of data warehouse platforms have brought unprecedented operational simplicity and effectively infinite scale. Along with those benefits, they have also introduced a new consumption model that can lead to incredibly expensive bills at the end of the month. In order to ensure that you can explore and analyze your data without spending money on inefficient queries Mingsheng Hong and Zheng Shao created Bluesky Data.

Cloud 100
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Confluent Cloud: Making an Apache Kafka Service 10x Better

Confluent

What we’ve done to evolve from cloud Kafka to Confluent Cloud, a data streaming platform that’s 10X better than Kafka in elasticity, storage, resiliency, and more.

Kafka 95
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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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The Power of Exploratory Data Analysis for ML

Cloudera

Data scientists and machine learning engineers in enterprise organizations need to fully understand their data in order to properly analyze it, build models, and power machine learning use cases across their business. Due to the lack of tooling specifically designed for data discovery, exploration, and preliminary analysis, this presents a significant challenge for these teams. .

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Free Data Engineering Courses

KDnuggets

Get into the highly in-demand world of data engineering for free and earn 6 figures salary.

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Case Study: Zembula and Rockset Power Real-Time Marketing Email Personalization

Rockset

Zembula is a Portland, Oregon-based venture-backed startup that is breaking new ground in real-time customer personalization. Expanding Smart Banners to all kinds of promotional emails caused our traffic to explode 10x. We needed a lower-ops, cost-effective and scalable database to pave the way for our next 100x of growth. — Robert Haydock, CEO, Zembula We have developed technology enabling companies to deliver emails that are dynamic and hyper relevant to every recipient.

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Getting Started with Scala Options

Rock the JVM

Scala Options are among the first concepts we encounter: Discover what they do, why they're useful, and their importance in programming

Scala 52
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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5 minutes to configure Workflow Log in Apache Hop

know.bi

Workflow Log

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How Activation Functions Work in Deep Learning

KDnuggets

Check out a this article for a better understanding of activation functions.

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How Monte Carlo and Snowflake Gave Vimeo a “Get Out Of Jail Free” Card For Data Fire Drills

Monte Carlo

This article is sourced based on the interview between Lior Solomon, (now the former) VP of Engineering, Data, at Vimeo with the co-founders of Firebolt on their Data Engineering Show podcast which took place August 18, 2021. Watch the full episode. Vimeo is a leading video hosting, sharing, and services platform provider. The 1,000+ company helps small, medium and enterprise businesses scale with the impact of video.

BI 52
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Conversational AI: How Advanced Chatbots Work

AltexSoft

In the modern world, there’s hardly a business that doesn’t need a communication channel with its customers. Here’s the catch though. According to Meta (formerly Facebook), 64 percent of people would prefer to message rather than speak to a human call center agent on the phone. Besides that, customers want timely responses to whatever questions they have.

Banking 52
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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 Mission Control And Managing Your Data Infrastructure Risk

DataKitchen

DataOps Mission Control. Data Teams can’t answer very basic questions about the many, many pipelines they have in production and in development. For example: Data. Is there a troublesome pipeline (lots of errors, intermittent errors)? Did my source files/data arrive on time? Is the data in the report I am looking at “fresh”? Is my output data the right quality?

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Top 18 Data Science Groups on LinkedIn

KDnuggets

Join the best data science professional groups on LinkedIn to share insights and experiences, ask for guidance, and build valuable connections.

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Building Spark Lineage For Data Lakes

Monte Carlo

When a data pipeline breaks, data engineers need to immediately understand where the rupture occurred and what has been impacted. Data downtime is costly. Without data lineage –a map of how assets are connected and data moves across its lifecycle–data engineers might as well conduct their incident triage and root cause analysis blindfolded. Field-level data lineage (not necessarily Spark lineage) with hundreds of connections between objects in upstream and downstream tables.

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Database Key Terms, Explained

KDnuggets

Interested in a survey of important database concepts and terminology? This post concisely defines 16 essential database key terms.

Database 148
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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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Five Signs of an Effective Data Science Manager

KDnuggets

In this article, we will go beyond the theoretical realm of what a data science manager does and focus more on how to become an “effective” data science manager.

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A Beginner’s Guide to Q Learning

KDnuggets

Learn the basics of Q-learning in this article, a model-free reinforcement learning algorithm.

Algorithm 134
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Top Industries and Employers Hiring Data Scientists in 2022

KDnuggets

This article presents the top industries and companies that are currently actively hiring data scientists.

Data 131
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KDnuggets Top Posts for April 2022: 15 Python Coding Interview Questions You Must Know For Data Science

KDnuggets

Also: Python Libraries Data Scientists Should Know in 2022; The Complete Collection Of Data Repositories - Part 1; Top YouTube Channels for Learning Data Science; 7 Steps to Mastering SQL for Data Science; A Brief Introduction to Papers With Code.

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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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6 Things You Need To Know About Data Management And Why It Matters For Computer Vision

KDnuggets

This article will explore a few areas that we feel are essential when assessing data management solutions for computer vision.

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Metadata Store for Production ML!

KDnuggets

Add Layer to your existing ML code and quickly get a rich model and data registry with experiment tracking!

Metadata 108
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KDnuggets News, June 1: The Complete Collection of Data Science Books; Projects That Will Land You The Job in 2022

KDnuggets

The Complete Collection of Data Science Books - Part 2; Data Science Projects That Will Land You The Job in 2022; How to Become a Machine Learning Engineer; Dynamic Time Warping Algorithm in Time Series, Explained; Free Data Engineering Courses.