Alation

NOVEMBER 30, 2021

One of the 14 key controls released with the EDM Council’s new Cloud Data Management Capability (CDMC) framework focuses on data sovereignty and cross-border movement. It’s critically needed, but highly complex and difficult to fully comprehend, let alone solve. Local laws matter. The focus of the capability is compliance with all laws and regulations for the handling of sensitive data within a specific jurisdiction where data resides.

Data Governance 52

Data Governance Risk Management Risk Enterprise 52

Analytics Vidhya

NOVEMBER 30, 2021

This article was published as a part of the Data Science Blogathon. Introduction to ETL ETL is a type of three-step data integration: Extraction, Transformation, Load are processing, used to combine data from multiple sources. It is commonly used to build Big Data. In this process, data is pulled (extracted) from a source system, to […]. The post Good ETL Practices with Apache Airflow appeared first on Analytics Vidhya.

Big Data 380

Big Data Data Integration Data Science Publishing 380

David Menninger's Analyst Perspectives

NOVEMBER 30, 2021

TIBCO is a large, independent cloud-computing and data analytics software company that offers integration, analytics, business intelligence and events processing software. It enables organizations to analyze streaming data in real time and provides the capability to automate analytics processes. It offers more than 200 connectors, more than 200 enterprise cloud computing and application adapters, and more than 30 non-relational structured query language databases, relational database management

Analytics 175

Analytics Data Warehouse Business Intelligence Software 175

Analytics Vidhya

NOVEMBER 30, 2021

This article was published as a part of the Data Science Blogathon. The string is one standard Data type in Python. You will find string data type in every application programming language like Java, Python, C++ because while developing an application you need to talk to the user and it is done in strings. Whereas […]. The post String Data Structure in Python | Complete Case study appeared first on Analytics Vidhya.

Data Science 371

Data Science Publishing Analytics IT 371

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Management

KDnuggets

NOVEMBER 30, 2021

After 28+ years of publishing and editing KDnuggets, I am retiring and transitioning KDnuggets to Matthew Mayo, who will become the new editor-in-chief. I want to share with you my story of KDnuggets and highlight some of the useful nuggets of experience I learned along this amazing journey.

Publishing 130

Publishing 130

Analytics Vidhya

NOVEMBER 30, 2021

This article was published as a part of the Data Science Blogathon. Introduction Data Science associates with a huge variety of problems in our daily life. One major problem we see every day include examining a situation over time. Time series forecast is extensively used in various scenarios like sales, weather, prices, etc…, where the […].

Modeling 334

Modeling Forecasting Sales Data Science 334

Analytics Vidhya

NOVEMBER 30, 2021

This article was published as a part of the Data Science Blogathon A comprehensive guide for finding the best hyper-parameter for your model efficiently. Tuning hyperparameter is more efficient with Bayesian optimized algorithms compared to Brute-force algorithms. You will see how to find the best hyperparameters for XGboost Regressor in this article.

Modeling 323

Modeling Optimization Data Science Publishing 323

KDnuggets

NOVEMBER 30, 2021

As a result of the efforts outlined in this article, we confirmed that clustering through crowdsourcing is indeed possible and works impressively well.

Data Science 121

Data Science 121

Analytics Vidhya

NOVEMBER 30, 2021

This article was published as a part of the Data Science Blogathon Introduction Deployment is a way to integrate your machine learning model into your existing production environment and make practical business decisions based on your data. This is one of the final stages of the machine learning life cycle and can be one of the […]. The post A Comprehensive Guide on Inferrd : The easiest way to deploy ML models appeared first on Analytics Vidhya.

Modeling 313

Modeling Machine Learning Data Science Publishing 313

KDnuggets

NOVEMBER 30, 2021

Learn best practice guidelines for building AI solutions responsibly. Join AI experts from Microsoft and BCG at Put Responsible AI into Practice—a free Azure digital event on December 7.

108

108

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Analytics

Analytics Vidhya

NOVEMBER 30, 2021

This article was published as a part of the Data Science Blogathon In my case, I was first introduced to Docker when I have to containerize a Machine Learning workflow in my organization. At that time I realized that Docker makes Machine Learning Engineers’ lives much easier. Not only that we can deploy and run applications […]. The post How To Containerize Your Data Science Workflow With Docker System appeared first on Analytics Vidhya.

Data Science 296

Data Science Machine Learning Publishing Analytics 296

Jen Stirrup

NOVEMBER 30, 2021

I was all set to present this session at the European Collaboration Summit in November 2021, but the organizers needed to change the time and date of my session which was rescheduled to take place after I’d left to go back home. So, I was sorry not to be able to present the session but my plane was all organized and I could not change it at the last moment.

Dashboards 90

Dashboards Visualization Data Transformation Publishing 90

KDnuggets

NOVEMBER 30, 2021

After 28+ years of publishing and editing KDnuggets, I am retiring and transitioning KDnuggets to Matthew Mayo, who will become the new editor-in-chief. I want to share with you my story of KDnuggets and highlight some of the useful nuggets of experience I learned along this amazing journey.

Publishing 83

Publishing 83

Cloudera

NOVEMBER 30, 2021

This guest blog was written by Shanice Omare, Research Manager, Vanson Bourne. Organizations’ resiliency in the wake of the pandemic . So much has changed for organizations in recent times, with the pandemic accelerating shifts toward a more digital world. Some organizations have taken this as an opportunity for positive change by moving workloads to the cloud and utilizing enterprise data strategies that are key to their business resiliency.

Enterprise 73

Enterprise Reporting Data Strategy Strategy 73

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

KDnuggets

NOVEMBER 30, 2021

In this article, we are going to compare the sentiment extraction performance between Sentiment Analysis engines and Custom Text classification engines. The idea is to show pros and cons of these two types of engines on a concrete dataset.

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80

TDAN

NOVEMBER 30, 2021

Having been involved in several large-scale data migration projects, my company has come across some common re-occurring themes that have the potential to derail not only the data migration itself, but the entire parent program. In a series of five mistakes, I will provide an overview of the top five mistakes that should be avoided […].

Data Quality 64

Data Quality Data Strategy Data Governance Business Intelligence 64

KDnuggets

NOVEMBER 30, 2021

As a result of the efforts outlined in this article, we confirmed that clustering through crowdsourcing is indeed possible and works impressively well.

Data Science 79

Data Science 79

Dataiku

NOVEMBER 30, 2021

Analysts, data engineers, and data scientists have always been core roles that contribute to advanced analytics projects. But in order for an organization to scale AI initiatives with a more systematic approach, the development, operationalization, and oversight of AI projects must also include contributors from different parts of the organization, including IT operators, project managers, risk managers, and subject matter experts (SMEs).

Risk Management 59

Risk Management Risk Management Analytics 59

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Analytics

TDAN

NOVEMBER 30, 2021

I didn’t set out to rewrite the rules of accounting. It just sort of happened. It is a tale of emergence and synchronicity. So far, everyone we’ve reviewed our tentative findings with is enthused and eager for us to finish our experiments and publish. This blog is the first sneak preview of what we believe […].

Publishing 52

Publishing IT Data Architecture Business Intelligence 52

3AG Systems

NOVEMBER 30, 2021

How do you identify an expert? Let’s look at what defines an expert. Training and experience, right? But how do you tell an expert apart from a non-expert? What does an expert look like? That’s easy to answer, right? A doctor wears a white coat. A mechanic wears overalls. And a plumber wears, well. let's say low-cut jeans, shall we? So if it looks like an expert, and talks like an expert, it’s probably an expert, right?

Visualization 40

Visualization IT 40

TDAN

NOVEMBER 30, 2021

“There is another undefined frontier, that of time. A living language is in a continuous state of change, of ‘slow but incessant dissolution and renovation’…Where then, does one fix the dates of entry and termination of a word’s ‘current usage’?”[1] As data professionals, we’ve all been there: preparing a set of data from migration from […].

Data Governance 52

Data Governance Metadata Data Strategy Strategy 52

Nutanix

NOVEMBER 30, 2021

An enhanced architecture now makes it faster and more cost efficient to hibernate and resume your Nutanix cluster on public clouds like AWS

IT 34

IT 34

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

TDAN

NOVEMBER 30, 2021

The knowledge of a Subject Matter Expert, or SME, can make or break any projects of any type. It does not matter if the project is architecture, construction, business strategy, or the one of the many facets of data and information management. To become a SME, a team needs to have lived and worked in […].

Strategy 52

Strategy Management IT Data Governance 52

Analytics Vidhya

NOVEMBER 30, 2021

This article was published as a part of the Data Science Blogathon Overview Trees are a non-linear data structure type. The trees are composed of nodes grouped in a hierarchical fashion. It begins with a single root node that may have child nodes of its own. All nodes are linked by edges. We can use trees […]. The post Traverse Trees Using Level Order Traversal in Python appeared first on Analytics Vidhya.

Data Science 305

Data Science Publishing Analytics IT 305

Depict Data Studio

NOVEMBER 30, 2021

How do we make our graphs more accessible? There’s a misconception that accessibility takes all day, that’s it’s costly, or that it’s complicated. Those are all false. Accessibility is woven into all my trainings, but since this is a topic I get asked about a lot, I decided to make a new talk that’s focused just on accessibility for dataviz.

Visualization 98

Visualization Testing IT 98

KDnuggets

NOVEMBER 30, 2021

The new platform provides a single API to abstract dozens of ML frameworks and databases.

Machine Learning 138

Machine Learning 138

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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

Big Data