Sat.Jul 10, 2021 - Fri.Jul 16, 2021

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Zoho enters self-service BI market with focus on usability, data prep

CIO Business Intelligence

Productivity SaaS provider Zoho has entered the business intelligence (BI) platform market, announcing an AI-powered, self-service platform that combines the new Zoho DataPrep application with an enhanced version of Zoho Analytics. The Chennai, India-based multinational is betting that it can win over business users with a combination of features focused on ease-of-use, support for data preparation, and the ability to blend internal data with outside data sources.

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Python on Frontend: ML Models Web Interface With Brython

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Machine learning is a fascinating field and everyone wants to. The post Python on Frontend: ML Models Web Interface With Brython appeared first on Analytics Vidhya.

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Amazon is a Vendor of Merit in 2021 Value Index for Analytics and Data

David Menninger's Analyst Perspectives

We are happy to share some insights about Amazon QuickSight drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Analytics 246
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Data Science Tools: Understanding the Multiverse

Domino Data Lab

In the multiverse of data science, the tool options continue to expand and evolve. While there are certainly engineers and scientists who may be entrenched in one camp or another (the R camp vs. Python, for example, or SAS vs. MATLAB), there has been a growing trend towards dispersion of data science tools. As new team members with varying backgrounds are added, as new sources of data are made available from different platforms, or new deliverables are required from stakeholders, allegiance to a

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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What Is Data Storytelling?

Juice Analytics

Data Storytelling as a term has gained popularity as people discover the impact that traditional storytelling and narrative techniques can have when explaining their data analysis. At the same time, traditional storytellers — e.g journalists, authors, marketers — have come to appreciate the impact that data can bring to their message. However, arriving at a shared definition of what is (and what is not) a data story has been elusive.

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Understanding Natural Language Processing -A Beginner’s Guide

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: Source: [link] Language is very important when we want to. The post Understanding Natural Language Processing -A Beginner’s Guide appeared first on Analytics Vidhya.

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Big Data has Permanently Changed the State of Securities Trading

Smart Data Collective

The financial analytics market was worth an estimated $6.7 billion last year. It is projected to grow at an annual rate of around 13% through at least 2027. Big data technology keeps reshaping the business landscape and companies have started realizing the importance of using data and analytics in their decision-making processes. While small and medium businesses have yet to adapt to the concept, large businesses invest significantly in data.

Big Data 135
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Delivering Modern Enterprise Data Engineering with Cloudera Data Engineering on Azure

Cloudera

After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. . CDP Data Engineering offers an all-inclusive toolset that enables data pipeline orchestration, automation, advanced monitoring, visual profiling, and a comprehensive management toolset for streamlining ETL processes and making complex data actionable across your analytic team

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An Intuitive and Easy Guide to Python Sets- Must for Becoming Data Science Professional

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In today’s world, in each and every domain, the utmost. The post An Intuitive and Easy Guide to Python Sets- Must for Becoming Data Science Professional appeared first on Analytics Vidhya.

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ThoughtSpot Earns Merit Ranking in 2021 Value Index

David Menninger's Analyst Perspectives

We are happy to share some insights about ThoughtSpot drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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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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Understanding the Nature and Evolution of Security Analytics

Smart Data Collective

Security analysis is a method used in cybersecurity to help boost security protocols for data protection. Companies can’t know the kinds of threats that are going to happen. This is where security analysis tools come into play. They can be used to analyze security threats before they’ve been given the opportunity to create big problems for a business.

Analytics 134
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How to Name Worksheets in a Paginated Report Exported to Excel

Paul Turley

This question comes up every few years in SQL Server Reporting Services. Of course, in Power BI Paginated Reports, we have the same features.

Reporting 131
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Python Generators and Iterators in 2 Minutes for Data Science Beginners

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction We are continuing our Python: Understanding in 2 minutes series. The post Python Generators and Iterators in 2 Minutes for Data Science Beginners appeared first on Analytics Vidhya.

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How to build a successful cloud data architecture

DataKitchen

The post How to build a successful cloud data architecture first appeared on DataKitchen.

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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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Why Your Business Should Use a Data Catalog to Organize Its Data

Smart Data Collective

Imagine searching through boxes of receipts and statements, trying to find the ones you need to file this year’s income taxes. You’d probably get frustrated, overlook some things, and maybe even find that other items are missing. It’s what many people went through before the advent of the personal computer and apps that automatically categorize expenses.

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ThoughtSpot’s Earns Merit Ranking in 2021 Value Index

David Menninger's Analyst Perspectives

We are happy to share some insights about ThoughtSpot drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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Python *args and **kwargs in 2 minutes For Data Science Beginner

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Data science is not only about implementing high-level libraries in. The post Python *args and **kwargs in 2 minutes For Data Science Beginner appeared first on Analytics Vidhya.

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Keys to DataOps Transformation

DataKitchen

The post Keys to DataOps Transformation first appeared on DataKitchen.

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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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Impact of Machine Learning on the World of Online Trading

Smart Data Collective

Machine learning technology has completely changed the future of the financial sector. A number of major financial verticals have become more reliant on AI, including insurance, banking, securities brokers and financial planning services. Role of Machine Learning in Financial Securities Trading. One of the biggest changes brought on by machine learning has been with trading stocks , bonds, derivatives and other financial securities.

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Accelerate Offloading to Cloudera Data Warehouse (CDW) with Procedural SQL Support

Cloudera

Did you know Cloudera customers, such as SMG and Geisinger , offloaded their legacy DW environment to Cloudera Data Warehouse (CDW) to take advantage of CDW’s modern architecture and best-in-class performance? In addition to substantial cost savings upon moving to CDW, Geisinger is also able to search through hundreds of million patient note records in seconds providing better treatment to their patients.

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Python most powerful functions: map(), filter(), and reduce() in 5 minutes

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview Python includes a number of predefined built-in functions that can. The post Python most powerful functions: map(), filter(), and reduce() in 5 minutes appeared first on Analytics Vidhya.

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How to Build Trust in AI

DataRobot

Just as trust needs to be established in our personal and business relationships, it also needs to be established between an AI user and the system. Transformative technologies such as autonomous vehicles will be possible only when there are clear methods and benchmarks to establish trust in AI systems. At DataRobot , we define the benchmark of AI maturity as AI you can trust.

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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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Business Intelligence System: Definition, Application & Practice

FineReport

In daily work, when business develops to a relatively large scale, we will all face variable management problems. Among these problems, one is that the third party on market data analysis platform or enterprises’ own platforms have been unable to meet the needs of business development. So it is the proper time for us to start building a powerful business intelligence(BI) system, aiming to make accurate business analysis and forward-looking corporate decisions.

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DIA Entries 2021: Judges’ Insight

Cloudera

The 2021 Data Impact Award (DIA) submissions are starting to stream in, and we know many of you are contemplating your entries – which we are excited to see. To help guide your award strategy, we thought it would be an excellent opportunity to ask our judges — a panel comprised of leading analysts and journalists well-versed in the application of data and the wider benefits it can bring across industries – what it takes for a winning project.

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Titanic Survival Prediction Using Machine Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Hey Folks, in this article, we will be understanding, how to. The post Titanic Survival Prediction Using Machine Learning appeared first on Analytics Vidhya.

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The People’s Data Catalog: Alation Featured as Top Choice in Eckerson’s Latest Report

Alation

Many data catalog initiatives fail. How can prospective buyers ensure they partner with the right catalog to drive success? According to the latest report from Eckerson Group, Deep Dive on Data Catalogs , shoppers must match the goals of their organizations to the capabilities of their chosen catalog. A data catalog’s approach is key. Does it match the goals and approach of the organization?

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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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Data Science Tools: Understanding the Multiverse

Domino Data Lab

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A Reference Architecture for the Cloudera Private Cloud Base Data Platform

Cloudera

Introduction and Rationale. The release of Cloudera Data Platform (CDP) Private Cloud Base edition provides customers with a next generation hybrid cloud architecture. This blog post provides an overview of best practice for the design and deployment of clusters incorporating hardware and operating system configuration, along with guidance for networking and security as well as integration with existing enterprise infrastructure.

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Machine Learning Workflow Using MLFLOW -A Beginners Guide

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Table of Content The below topics will be covered in this. The post Machine Learning Workflow Using MLFLOW -A Beginners Guide appeared first on Analytics Vidhya.

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Humans and AI: Should You Disclose When You Are Using AI?

DataRobot

Which option is better: call centers staffed by humans or chatbots? On the one hand, large enterprises complain that it costs too much money to answer the hundreds of thousands of calls they receive each month. On the other hand, customers are frustrated when chatbots don’t know how to solve their problems. The answer isn’t as simple as choosing between humans or a chatbot.

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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.