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    Data Visualization 102: The Most Important Rules for Making Data Tables

    Data Visualization 102: The Most Important Rules for Making Data Tables
    What are effective ways to use tables to convey information?Picture from Mika BaumeisterIn a previous post about data visualization in data science and statistics, I discussed what I consider the single most important rule of graphing data. In this post, I am following up to discuss the most important rules for making data tables. I will focus on data tables in reporting/communicating findings to others, as opposed to the many other uses of tables in data science say to store, organize, and mine data.
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    Root Cause Analysis for Data Engineers

    Root Cause Analysis for Data Engineers
    The Definitive Guide5 essential steps for troubleshooting data quality issues in your pipelinesImage courtesy of Monte Carlo.This guest post was written by Francisco Alberini, Product Manager at Monte Carlo and former Product Manager at Segment. Data pipelines can break for a million different reasons, and there isn’t a one-size-fits all approach to understanding how or why. Here are five critical steps data engineers must take to conduct root cause analysis for data quality issues.
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    Enrich Tableau Prep flow data with Einstein Discovery predictions

    Enrich Tableau Prep flow data with Einstein Discovery predictions
    In the April release of Tableau Prep, you can now invoke the power of Salesforce Einstein Discovery to bulk score your data directly in your flow. Bringing these powerful predictive models into Tableau Prep will help people closer to the business to use advanced analytics techniques to uncover practical insights, inform proactive decisions, and solve problems faster. Rapinder Jawanda Kristin Adderson April 6, 2021 - 7:31pm April 7, 2021 In the April release of Tableau Prep, you can now invoke the power of Salesforce Einstein Discovery to bulk score your data directly in your flow. Bringing these powerful predictive models into Tableau Prep will help people closer to the business to use advanced analytics techniques to uncover practical insights, inform proactive decisions, and solve problems faster. With this integration, you…
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    How the Work-From-Home Shift Impacts SaaS Security

    How the Work-From-Home Shift Impacts SaaS Security
    The data is in. According to IBM Security's 2020 Cost of a Data Breach Report, there is a 50% increase in cloud usage for enterprises across all industries. The number of threats targeting cloud services, predominantly collaboration services like Office 365, has increased 630%. Moreover, 75% of respondents report that discovery and recovery time from data breaches has significantly increased due
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    Gartner Top Security and Risk Trends for 2021

    Gartner Top Security and Risk Trends for 2021
    As cybersecurity and regulatory compliance become the top two biggest concerns of corporate boards, some are adding cybersecurity experts specifically to scrutinize security and risk issues.  Adding a cybersecurity expert directly to the board is just one of the eight Gartner security and risk trends for 2021, many of which are driven by recent events such as security breaches and the COVID-19 pandemic.
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    Why So Many Data Scientists Quit Good Jobs at Great Companies

    Why So Many Data Scientists Quit Good Jobs at Great Companies
    The role of the Data Scientist continues to offer many great opportunities as a career. However, the 'sexiest job of the 21st century' has lost some of its appeal because of unrealized expectations and how organizations might leverage this type of work. Having a better understanding of how data science typically plays out in the business world can help you achieve the success you want.
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    Track Conversions Once per Session in Google Analytics 4

    Track Conversions Once per Session in Google Analytics 4
    In Universal Analytics, a goal (a.k.a. conversion) was counted once per session. If a visitor completes the same goal multiple times during the same session, it will be counted only once. In Google Analytics 4, on the other hand, conversions are tracked every time they occur (regardless of whether it’s the same session or not). […]
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    A look at the DataOps engineer role and responsibilities

    A look at the DataOps engineer role and responsibilities
    Organizations large enough to have one or more data teams typically have a mix of data scientists, data engineers and data analysts on those teams. However, as companies become increasingly digital, they must be able to utilize massive amounts of data intelligently in a timely manner at scale. Achieving all that may require the addition of a DataOps engineer who can help the company operationalize its data.
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    Pros and Cons of using Python for Web Development

    Pros and Cons of using Python for Web Development
    Python is the world’s third most popular programming language in February 2021, according to TIOBE’s index. It grew over 1.52% since January. Its massive demand in the past few years is a result of its diverse applications. Python is now widely in use for Machine Learning, Data Science, Neural Networking, and more. Today, Python for web development is increasing as companies look forward to advanced applications that can fulfill enterprise-grade requirements.
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