Sat.May 08, 2021 - Fri.May 14, 2021

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Is there any need of Deep Learning?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Humans should be worried about the threat posed by artificial intelligence. The post Is there any need of Deep Learning? appeared first on Analytics Vidhya.

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Strategies on Implementing a Data Catalog

Alation

Why Implement a Data Catalog? In a word: insight. Nowadays, businesses have more data than they know what to do with. Cutting-edge enterprises use their data to glean insights, make decisions, and drive value. In other words, they have a system in place for a data-driven strategy. But let’s rewind: how do you know you need a data catalog in the first place?

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Why Your Data Lake Needs Bad Data

David Menninger's Analyst Perspectives

Everyone talks about data quality, as they should. Our research shows that improving the quality of information is the top benefit of data preparation activities. Data quality efforts are focused on clean data. Yes, clean data is important. but so is bad data. To be more accurate, the original data as recorded by an organization’s various devices and systems is important.

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Data Observability and Monitoring with DataOps

DataKitchen

Data errors impact decision-making. When analytics and dashboards are inaccurate, business leaders may not be able to solve problems and pursue opportunities. Data errors infringe on work-life balance. They cause people to work long hours at the expense of personal and family time. Data errors also affect careers. If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics.

Testing 214
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Bar Chart Race of World Population by 2020 in Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Machine Learning is the trending digital technology in today’s world, The post Bar Chart Race of World Population by 2020 in Python appeared first on Analytics Vidhya.

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Removing “Analysis Paralysis” From Team Sessions

BA Learnings

For many teams, careful planning and data-driven examination of the challenges they face are paramount to success. There is power in information and analytics, but its potency can be a double-edged sword, especially if you’re prone to analysis paralysis. This phenomenon is a form of information overload — when the group starts to overanalyze data and overthink solutions to their problem.

More Trending

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DataKitchen’s Chris Bergh Reveals the Steps for Enterprise DataOps Success at Data Summit Connect 2021

DataKitchen

The post DataKitchen’s Chris Bergh Reveals the Steps for Enterprise DataOps Success at Data Summit Connect 2021 first appeared on DataKitchen.

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Data Validation in Machine Learning is imperative, not optional

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Operationalizing a Machine Learning (ML) model in production needs. The post Data Validation in Machine Learning is imperative, not optional appeared first on Analytics Vidhya.

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Automating CDP Private Cloud Installations with Ansible

Cloudera

The introduction of CDP Public Cloud has dramatically reduced the time in which you can be up and running with Cloudera’s latest technologies, be it with containerised Data Warehouse , Machine Learning , Operational Database or Data Engineering experiences or the multi-purpose VM-based Data Hub style of deployment. In CDP Private Cloud, the introduction of Cloudera Data Warehouse and Cloudera Machine Learning Experiences on RedHat OpenShift Kubernetes clusters means that we can deploy new

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DataRobot Flies Higher with Zepl Acquisition, Adding Cloud Native Notebook Solution to AI Platform

DataRobot

At DataRobot, we believe in 10x-ing our efforts: returns for our customers, professional development of our team, and our platform. Today’s acquisition of Zepl does exactly that. It 10x’s our world-class AI platform by dramatically increasing the flexibility of DataRobot for data scientists who love to code and share their expertise across teams of all skill levels.

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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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Forrester – Chart Your Course To Insights-Driven Business Maturity

DataKitchen

As organizations strive to become more data-driven, Forrester recommends 5 actions to take to move from one stage of insights-driven business maturity to another. . After establishing a solid strategy, the second phase involves planning key processes and practices to support the strategy, including “the emerging and increasingly important DataOps and ModelOps processes and methodologies.”.

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13 Most Important Pandas Functions for Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Python is one of the most widely used language. The post 13 Most Important Pandas Functions for Data Science appeared first on Analytics Vidhya.

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5 Factors to Consider When Choosing a Stream Processing Engine

Cloudera

Are you using the right stream processing engine for the job at hand? You might think you are—and you very well might be!—but have you really examined the stream processing engines out there in a side-by-side comparison to make sure? Our Choose the Right Stream Processing Engine for Your Data Needs whitepaper makes those comparisons for you, so you can quickly and confidently determine which engine best meets your key business requirements.

Risk 104
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Lack of Time for Analysis, Adoption of New Technology and Data Limitations are Top Challenges Facing Finance Teams, According to insightsoftware Survey

Jet Global

Less than half (46%) of financial executives say they are able to fully execute their responsibilities with “manual, time-consuming processes” listed by 49% of respondents as the primary obstacle. RALEIGH, N.C. – May 11, 2021 – In the early days of the pandemic, cash flow management took center stage for many businesses and risk management continues to be a priority this year as business leaders depend more than ever on finance teams for decision-making support.

Finance 98
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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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The Importance of Data Analytics with IPTV Middleware CMS

Smart Data Collective

There are a lot of applications of data analytics in the modern workplace. There are a lot of benefits, particularly when it comes to CMS technology. Having good IPTV middleware (CMS) is crucial for anyone offering an IPTV or OTT platform, service, or any other kind of business or system that streams content. Your IPTV middleware is the go-between for the operator’s service or software provider and the client.

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Complete Guide on Encoding Numerical Features in Machine Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction In Machine learning projects, we have features that could. The post Complete Guide on Encoding Numerical Features in Machine Learning appeared first on Analytics Vidhya.

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cdpcurl: Low-Level CDP API Access

Cloudera

Cloudera Data Platform (CDP) provides an API that enables you to access CDP functionality from a script, or to integrate CDP features with an application. In practice you can use the CDP API to script repetitive tasks, manage CDP resources, or even create custom applications. You can learn more about the API in its official documentation. There are multiple ways to access the API, including through a dedicated CLI , through a Java SDK , and through a low-level tool called cdpcurl. cdpcurl is des

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Top 10 ERP Thought Leaders to Follow in 2021

Jet Global

This guide updates our ERP thought-leadership rankings for 2021. Rankings are based on these ERP thought leaders’ social media presence and the frequency at which they publish. These rankings highlight the thinkers with the biggest impact on the present and future of ERP by analyzing who is speaking the loudest to the largest audience. This year, our list has some new entrants, along with some changes in rankings for previous top-ten leaders.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Interview with SourceForge: Bringing Data-driven Decisions to a Broad Audience

Juice Analytics

I recently spoke with the team at SourceForge , a leading platform for the distribution and discovery of software solutions. The interview ended up summarizing our journey as a company to transform how people communicate with data. Here’s the transcript: SourceForge: You have said that the challenges faced by the analytics industry are more social than technical.

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Bayesian Optimization: bayes_opt or hyperopt

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction If you have experience in Machine Learning, specifically supervised. The post Bayesian Optimization: bayes_opt or hyperopt appeared first on Analytics Vidhya.

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7 Key Industries Being Transformed by Data Savvy Virtual Agents

Smart Data Collective

There are a number of new fields that have opened up due to recent advances in big data. Big data has played a huge role in the evolution of business development. One field that has emerged as a result of new developments in big data technology is the virtual agent. Intelligent virtual agents (IVAs) are attractive to businesses in dozens of industries thanks to their convenience and their AI capabilities.

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How to Engage Your Audience with “Choose Your Own Adventure” Presentations

Depict Data Studio

Ready for an advanced presentation technique? Want to make sure your audience is engaged? No, those 10-minute Q&As at the end of a presentation don’t count as adequate engagement. Let’s notch up our engagement! In this blog post, you’ll learn about the “Choose Your Own Adventure” method for engaging our audiences during presentations. In March 2021, I was speaking at the Nonprofit Technology Network ’s conference, 21NTC , and I used this technique.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

Blog. You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable.

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Top 20 Conceptual Questions To Test Your Data Science Skills In 2021

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction In this article, I have curated a list of 20. The post Top 20 Conceptual Questions To Test Your Data Science Skills In 2021 appeared first on Analytics Vidhya.

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Integrating SQL and NoSQL into Data Modeling for Greater Business Value: The Latest Release of erwin Data Modeler

erwin

Due to the prevalence of internal and external market disruptors, many organizations are aligning their digital transformation and cloud migration efforts with other strategic requirements (e.g., compliance with the General Data Protection Regulation). Accelerating the retrieval and analysis of data —so much of it unstructured—is vital to becoming a data-driven business that can effectively respond in real time to customers, partners, suppliers and other parties, and profit from these efforts.

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Checklist to Follow When Hiring and Managing Data Scientists

Smart Data Collective

Big data has changed the nature of modern business in tremendous ways. As a result, a growing number of companies have started hiring data scientists to handle many of the different functions that they need to oversee. Companies have to take a number of things into consideration when hiring and managing data scientists. A lot of the same principles apply as with managing and onboarding other employees.

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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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Accelerate Moving to CDP with Workload Manager

Cloudera

Since my last blog, What you need to know to begin your journey to CDP , we received many requests for a tool from Cloudera to analyze the workloads and help upgrade or migrate to Cloudera Data Platform (CDP). The good news is Cloudera has a tried and tested tool, Workload Manager (WM) that meets your needs. WM saves time and reduces risks during upgrades or migrations.

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Data Visualizations In Julia Using Plots.jl: With Practical Implementation

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Hello Readers!! Data visualization is a process to represent. The post Data Visualizations In Julia Using Plots.jl: With Practical Implementation appeared first on Analytics Vidhya.

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The Janusian conflict between the CISO and the DPO

Jen Stirrup

Data and data handling are becoming a visible part of corporate and everyday life, receiving more Board airtime and public attention than ever before and increasing pressure on businesses to take data protection seriously. For example, a two-year-long ICO investigation showed significant data protection failures resulted in an enforcement action being issued against Experian.

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Beyond Resilience-The Next Generation of Supply Chain

Teradata

After the shock of COVID exposed the brittle nature of many global supply chains, focus has shifted to resilience, a necessary consideration but not the only one.

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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.