Sat.Jun 25, 2022 - Fri.Jul 01, 2022

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Azure Data Factory: New Monitoring View Features

Azure Data Engineering

It is very easy to visually monitor previous pipeline runs in Data Factory using the Monitor page in the Azure Data Factory , which we have already covered in a previous post. There have been some recent improvements to the monitoring view, we will go through these briefly in this post. Data from the Azure Monitor view can be easily exported to csv by clicking on the newly added Export to CSV button.

Data 130
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24 SQL Questions You Might See on Your Next Interview

KDnuggets

Preparing for the SQL job interview can be overwhelming enough. You don’t need someone telling you that you need to know everything on top of that! Be smart and focus on preparing the SQL questions that appear most often at the job interview.

SQL 160
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Strategies And Tactics For A Successful Master Data Management Implementation

Data Engineering Podcast

Summary The most complicated part of data engineering is the effort involved in making the raw data fit into the narrative of the business. Master Data Management (MDM) is the process of building consensus around what the information actually means in the context of the business and then shaping the data to match those semantics. In this episode Malcolm Hawker shares his years of experience working in this domain to explore the combination of technical and social skills that are necessary to mak

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#ClouderaLife Spotlight: Autymn Harris and Jonathan Sanford

Cloudera

For this month’s #ClouderaLife Spotlight we did something a little different. In celebration of Pride Month, we sat down with two Clouderans who are influential in the company’s LGBTQ+ community: Autymn Harris and Jonathan Sanford. In this Q&A discussion, we asked them about their roles at Cloudera and what the LGBTQ+ resource groups are up to for Cloudera Pride celebrations.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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Modernizing a public health system with Teradata’s connected analytic architecture

Teradata

How do you accelerate disease prevention and response? Teradata provides a response to help accelerate public health infrastructure modernization.

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Data Preparation with SQL Cheatsheet

KDnuggets

If your raw data is in a SQL-based data lake, why spend the time and money to export the data into a new platform for data prep?

More Trending

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Fraud Detection with Cloudera Stream Processing Part 1

Cloudera

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. We discussed how Cloudera Stream Processing (CSP) with Apache Kafka and Apache Flink could be used to process this data in real time and at scale.

Process 87
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Cyber Security Interview Questions For Freshers, Seniors and Experts

U-Next

The right place for cyber security job aspirants to get to know the most common interview questions in various examinations. Read on to find out cyber security scenario-based questions asked by the experts. . Introduction . Are you preparing for the most in-demand IT domain, i.e. cyber security job role? We got you covered. With the ever-high demand for cyber security professionals, there’s also cutthroat competition among the cyber security jobs.

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Top Posts June 20-26: 20 Basic Linux Commands for Data Science Beginners

KDnuggets

Also: Decision Tree Algorithm, Explained; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know; KDnuggets Top Posts for May 2022: 9 Free Harvard Courses to Learn Data Science in 2022.

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How to Keep Bad Data Out of Apache Kafka with Stream Quality

Confluent

As data grows in volume and velocity, real-time data quality is more crucial than ever. Confluent's Stream Quality features ensure seamless, high quality data streaming between all your services.

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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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Import Relational Data Into Neo4j with Apache Hop - Graph Output

know.bi

This guide will teach you the process of exporting data from a relational database (MySQL) and importing it into a graph database (Neo4j). You will learn how to take data from the relational system and to the graph by translating the schema and using Apache Hop as import tools. This Tutorial uses a specific data set, but the principles in this tutorial can be applied and reused with any data domain.

MySQL 52
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26 Cyber Security Career To Checkout In 2022

U-Next

Are you interested in exploring opportunities with a cyber security career in India? Here’s a detailed guide for understanding cyber security’s role in the vast domain of the corporate world. Introduction To Cyber Security Career. Cyber security career is a field that is rapidly developing and increasing. From television shows and movies to career prospects, crash courses, and academic courses, cyber security roles have gotten a lot of attention.

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Statistics and Probability for Data Science

KDnuggets

In this article, we discuss the importance of statistics and probability in data science and machine learning.

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Monte Carlo Announces Delta Lake, Unity Catalog Integrations To Bring End-to-End Data Observability to Databricks

Monte Carlo

To help organizations realize the full potential of their data lake and lakehouse investments, Monte Carlo, the data observability leader, is proud to announce integrations with Delta Lake and Databricks’ Unity Catalog for full data observability coverage. Over the past decade, Databricks and Apache Spark™ not only revolutionized how organizations store and process their data, but they also expanded what’s possible for data teams by operationalizing data lakes at an unprecedented scale across ne

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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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Adopting SFDX for Salesforce Deployments

Picnic Engineering

without having to re-design the entire deployment process. Small Talk SFDX is the most common buzzword among Salesforcies right now. If you know it, I am sure you would have been tempted to try it out and might even have incorporated it into your mainstream development cycle (okay, deployment cycle). But if it somehow failed to grab your attention, let me bring you up to speed.

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Cloud Computing Interview Questions And Answers 2022

U-Next

Unless and until you prepare for an interview, it’s impossible to crack a cloud computing interview. Preparation beforehand is a must, and here you can achieve that! Introduction To Cloud Computing Interview Questions. Since cloud computing is useful outside of only IT organisations, it has become a popular career in recent years. Businesses from a variety of sectors, including finance, computers, commerce, entertainment, and automobiles, have shifted to using cloud computing for information sto

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Making Sense of CRISP-ML(Q): The Machine Learning Lifecycle Process

KDnuggets

Learn about the standard process for building sustainable machine learning applications.

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A Simply, Ordinary Reduction

Yelp Engineering

Experimentation has become standard practice for companies, and one of the most important aspects is how to evaluate the results to make ship/no-ship decisions. Have you run into experiments where you don’t have enough data for statistically significant results or perhaps the performance of your primary metric seemingly disagrees with that of your secondary metrics?

Data 52
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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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DataOps Risk Insurance & Mission Control

DataKitchen

Chris Bergh shares how to manage data quality and pipeline risk through implementing a 'Mission Control' center for DataOps. The post DataOps Risk Insurance & Mission Control first appeared on DataKitchen.

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What Is The Salary of a Software Engineer

U-Next

Introduction To The Salary of a Software Engineer. As we navigate the digital world, software engineers, the creative and technical minds that build and program everything from smartphones to spacecraft, are in greater demand than ever before. This is already a high-paying job, and the rapid spread of technology in the wake of the COVID 19 pandemic should further increase the salaries of software engineers over the next few years.

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Celebrating Women in Leadership Roles in the Tech Industry

KDnuggets

The technology industry, specifically, has been continuing to close the gender gap.

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Travel Fraud Protection: Key Types of Travel Scam, Protective Measures, and Software to Consider

AltexSoft

In 2019, the travel and hospitality industry accounted for a whopping 10.3 percent of global GDP. While this share decreased to 5.3 percent in 2020 due to pandemic restrictions, in 2021, the industry saw a rise up to 6.1 percent, which is about 5.7 trillion dollars. And everyone knows that fraudsters won’t be far behind from where money is, especially when most transactions happen online.

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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

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Make Your Finance Function the Backbone of Success in the Digital-first Retail & CPG Environment

Teradata

A strong finance backbone is critical for any retail or CPG business. To compete in today’s digital world, even greater flexibility is needed. Find out more.

Finance 52
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Product Manager Career Path

U-Next

This article is a must-read for those planning to choose product management as their career path. Everything you need to know about the product manager role is here. Introduction To Product Manager Career Path. Product management is a fascinating and distinctive professional path that spans the whole lifespan of a product, from conception to ultimate retirement.

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KDnuggets News, June 29: 20 Basic Linux Commands for Data Science Beginners; Market Data and News: A Time Series Analysis

KDnuggets

20 Basic Linux Commands for Data Science Beginners; Market Data and News: A Time Series Analysis; Data Science Career: 7 Expectations vs Reality; Machine Learning Is Not Like Your Brain Part 4: The Neuron’s Limited Ability to Represent Precise Values; Comprehensive Guide to the Normal Distribution.

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Careers in Development: What It’s Like to Work as a Software Engineer in Confluent’s India Team

Confluent

An engineer on Confluent’s Observability team shares her experience working at Confluent, their supportive, collaborative culture, career growth, and advice for new engineers.

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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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Credit Scoring in the Cryptocurrency Ecosystem

Elder Research

The post Credit Scoring in the Cryptocurrency Ecosystem appeared first on Elder Research.

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What are the Various Testing Levels

U-Next

Introduction . Many groups have a propensity to consider programming testing a final stage after it has been created. This conviction comes from Waterfall programming testing, an obsolete interaction that leads to more issues than it fixes. Typically, when certain degrees of programming testing are ignored, the product has more bugs that are more expensive to fix than if they were viewed before.

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7 Steps to Mastering Python for Data Science

KDnuggets

Here’s how you can learn to code in Python from scratch in 7 easy steps.

Python 151
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Bring Geospatial Analytics Across Disparate Datasets Into Your Toolkit With The Unfolded Platform

Data Engineering Podcast

Summary The proliferation of sensors and GPS devices has dramatically increased the number of applications for spatial data, and the need for scalable geospatial analytics. In order to reduce the friction involved in aggregating disparate data sets that share geographic similarities the Unfolded team built a platform that supports working across raster, vector, and tabular data in a single system.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.