Tue.Oct 19, 2021

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Introducing Self-Service, No-Code Airflow Authoring UI in Cloudera Data Engineering

Cloudera

Airflow has been adopted by many Cloudera Data Platform (CDP) customers in the public cloud as the next generation orchestration service to setup and operationalize complex data pipelines. Today, customers have deployed 100s of Airflow DAGs in production performing various data transformation and preparation tasks, with differing levels of complexity.

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5 Features Of Snowflake That Data Engineers Must Know

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Snowflake is a cloud data platform that comes with a lot of unique features when compared to traditional on-premise RDBMS systems. In this tutorial, you will see the top 5 features that developers should know before implementing a solution on the Snowflake data […]. The post 5 Features Of Snowflake That Data Engineers Must Know appeared first on Analytics Vidhya.

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Use External Data Platform to Improve Analytics

David Menninger's Analyst Perspectives

Access to external data can provide a competitive advantage. Our research shows that more than three-quarters (77%) of participants consider external data to be an important part of their machine learning (ML) efforts. The most important external data source identified is social media, followed by demographic data from data brokers. Organizations also identified government data, market data, environmental data and location data as important external data sources.

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Diving Into the Future of Deep Learning: Exploring the Novel Challenges Title

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Though it is believed that tech enthusiasts are passing through the golden age of Artificial Intelligence, engineers and scientists still need to explore miles while progressing on their journey to Deep Learning projects. Either it is calibrating time-series models, processing Bayesian deep […].

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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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Data Quality: Volume, interdependencies can create big problems

DataKitchen

The post Data Quality: Volume, interdependencies can create big problems first appeared on DataKitchen.

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Build A Voice Recorder Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon A voice recorder records a sound or a voice of a person and converts it into an audio file. The file can be stored in different audio formats like MP3 format, Waveform Audio File (WAV), Advanced Audio Coding (AAC), Audio Interchange File Format […]. The post Build A Voice Recorder Using Python appeared first on Analytics Vidhya.

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An Introduction to Random Forest Algorithm for beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Random forests are a supervised Machine learning algorithm that is widely used in regression and classification problems and produces, even without hyperparameter tuning a great result most of the time. It is perhaps the most used algorithm because of its simplicity. It […].

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5 Proven Tips To Use Analytics to Improve Your Website in 2021

Smart Data Collective

Analytics technology has become more important than ever in shaping the future of business. Countless businesses are looking for new ways to apply analytics technology to improve every aspect of their business model. One of the most important applications of analytics is with website management and development. You can use analytics to optimize your website to become more aesthetically pleasing to viewers.

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Implementing Artificial Neural Network(Classification) in Python From Scratch

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Neural networks. One of the booming technological breakthroughs in the 21st century. Are you interested in creating your own neural network from scratch in Python? Well, you are at the right place. In this article, we will be creating an artificial neural network […]. The post Implementing Artificial Neural Network(Classification) in Python From Scratch appeared first on Analytics Vidhya.

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Creating a Powerful Presentation: 3 Easy Changes to Revamp your PowerPoint

Depict Data Studio

Depict Data Studio full courses always end with a graduation ceremony where students share the progress they’ve made in the course. I’m always amazed by the transformations that take place and I can’t help but want to share their wonderful work! Today you’ll learn from Kelsey Watterson, an evaluator at the Centerstone Research Institute. Thanks for sharing Kelsey!

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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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What is Yield Farming in Crypto and How Does Data Analytics Help?

Smart Data Collective

Data analytics has become a major gamechanger for the cryptocurrency industry. Traders and miners have discovered a number of advantages of using big data and AI tools to improve their profitability. One of the newest applications of data analytics in cryptocurrency mining is with yield farming. Many crypto enthusiasts have found that it can help them lift their ROI considerably and address many of the problems that they face.

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Why AI Is Essential to the New Energy Model

Dataiku

Between energy diversity, climate challenges, and growth in electricity consumption, energy producers and suppliers must constantly optimize their processes and anticipate demand in order to adjust their offers, a strategy based on massive data collection and the deployment of AI solutions. Today it is impossible to master the complexity of the energy ecosystem without using data science.

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CDW to Acquire Sirius Computer Solutions for $2.5 billion

CDW Research Hub

Significantly Accelerates CDW’s Services and Solutions Capabilities and Enhances Ability to Deliver Customer-Centric Outcomes Across the Full Technology Solutions Stack. Strengthens CDW’s Financial Profile through Margin Expansion and Non-GAAP EPS Accretion. LINCOLNSHIRE, Ill.–(BUSINESS WIRE)– CDW Corporation (Nasdaq: CDW) (“CDW” or “Company”) today announced it has entered into a definitive agreement to acquire Sirius Computer Solutions, Inc.

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Five Ways AI Can Help States Solve Their Hardest Problems (Part 1): Enhance Crisis Response

DataRobot

State government’s first priority is simple: to help people and to do so by creating an environment in which its constituents can flourish. For over 200 years, state and local governments have been serving people and have greatly increased their services. As these services have increased, so has the demand of constituent needs. Artificial intelligence (AI) can equip states to surge ahead faster than ever before as services continue to increase and critical needs arise.

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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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How CFOs can transform to Finance 4.0

Jedox

Change is happening in Finance, and we have outlined both how the mindset should change and how to create time and energy for doing more value-adding work. However, knowing that change should happen and making the change happening are two very different things. Especially if you are a CFO and looking at your finance function and thinking how you can transform it to Finance 4.0.

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Practical Points from the DGPO: Supportive Data Governance for EUC

TDAN

[Publisher’s Note: This is the final column from the Data Governance Professionals Organization. Thank you, DGPO, for providing content to the pages of TDAN.com over the past several years. This quarter’s column was written by Malcolm Chisholm of Data Millennium.] End User Computing (EUC) is, in my experience, usually regarded as a sordid and unsavory […].

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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

Much has been written about struggles of deploying machine learning projects to production. As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new

IT 350
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You Needed to Use External Data Yesterday

TDAN

There’s an impossible amount of information thrown at us every day. Our jobs, calls, emails, news media, dashboards, more emails, Slack, LinkedIn, and all the rest all take up a substantial portion of our mental energy. But, without that information coming in, we’d be clueless about our surroundings. We’d have nothing but our own thoughts […].

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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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GraphDB Users Ask: How Does SHACL Work on GraphDB?

Ontotext

ONTOTEXT ANSWER: Data quality is one of the core problems with any database. SHACL, a W3C standard , is the current industry leader for RDF data validation. It allows the users to write some relatively simple RDF statements to define their constraints. Unfortunately, the recommendation is not too specific when it comes to implementations, so all databases on the market differ a bit.

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What Is Data Science, Really?

TDAN

Not too long ago, I attended a conference on data analytics and machine learning. I listened to one innovative and exciting session after another. The term ‘data science’ was sprinkled generously throughout. But were they all talking about the same thing, or was it simply a code word offering membership in an imagined community? Indeed, […].

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Actionable Insights For Customer Retention [Telco Case Study]

Data Insight

How a leading telco gained $900k in incremental revenue through data-driven customer retention activities. >" src="[link]. BACKGROUND. Data Insight’s telco client had a wide range of products and services across its different business units. We had recently undergone a project to merge the different sets of data to give our client a single view of its customers across its entire portfolio of offerings and the client next wanted to identify how this converged dataset could be utilised to quickly

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All in the Data: Data Governance Bill of “Rights” Revisited

TDAN

I last published my Data Governance Bill of “Rights” in a TDAN.com article circa 2017. That seems like a long time ago. I mentioned in the earlier piece that Data Governance is all about doing the “right” thing when it comes to managing your data. It’s all in the data. However, many people, upon hearing […].

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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What Is a Data Silo?

Alation

Although organizations don’t set out to intentionally create data silos, they are likely to arise naturally over time. In many cases, leaders aren’t even aware that they exist within their own business. This can make collaboration across departments difficult, leading to inconsistent data quality , a lack of communication and visibility, and higher costs over time (among other issues).