Analytics Vidhya

JANUARY 17, 2022

Overview In this article, I will walk you through the layers of the Data Platform Architecture. First of all, let’s understand what is a Layer, a layer represents a serviceable part that performs a precise job or set of tasks in the data platform. The different layers of the data platform architecture that we are […]. The post Layers of the Data Platform Architecture appeared first on Analytics Vidhya.

Analytics 384

Analytics Data Collection Data Science 384

DataKitchen

JANUARY 17, 2022

The post A busy year ahead in low-code and no-code development first appeared on DataKitchen.

276

276

Smart Data Collective

JANUARY 19, 2022

Artificial intelligence technology is becoming more valuable than ever. The market was estimated to be worth over $50 billion by the end of 2020 and is growing around 20% a year. One of the biggest reasons AI is growing in popularity is due to its role in mobile app design. There are a lot of things that have to be taken into consideration with mobile app design.

Publishing 138

Publishing Technology Interactive Forecasting 138

KDnuggets

JANUARY 21, 2022

Just like tradespeople need to grow in their skill sets, data scientists must also grow in the ever-changing world we inhabit. With that said, let’s break down how you can evolve your data science skills while progressing your career.

Data Science 160

Data Science 160

Advertisement

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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

Optimization

Analytics Vidhya

JANUARY 21, 2022

This article was published as a part of the Data Science Blogathon. In this article, we are going to analyze the Zero-crossing rates (ZCRs) of different music genre tracks. This post is inspired by Valerio Valerdo’s work. I highly encourage you to check out his Youtube channel for his outstanding work in the field of ML/DL […]. The post Analysis of Zero Crossing Rates of Different Music Genre Tracks appeared first on Analytics Vidhya.

Data Science 400

Data Science Publishing Analytics Deep Learning 400

TDAN

JANUARY 18, 2022

Imagine what it would be like if your data was perfect. By perfect I mean fit for use and high quality. By perfect I mean that the people in your organization have confidence in the data to use it for effective decision making and to focus on building efficiency and effectiveness through data into your […].

Data Quality 145

Data Quality IT Data Governance Metadata 145

KDnuggets

JANUARY 21, 2022

Your first job is always going to be frightening. You will feel anxious and nervous to speak your own opinion. I will go through a few points that I believe everybody should incorporate into their work and personal life.

Data Science 160

Data Science 160

Analytics Vidhya

JANUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction A few days ago, I came across a question on “Quora” that boiled down to: “How can I learn Natural Language Processing in just only four months?” Then I began to write a brief response. Still, it quickly snowballed into a detailed explanation […].

Data Science 400

Data Science Publishing Analytics Deep Learning 400

David Menninger's Analyst Perspectives

JANUARY 21, 2022

Organizations today have huge volumes of data across various cloud and on-premises systems which keep growing by the second. To derive value from this data, organizations must query the data regularly and share insights with relevant teams and departments. Automating this process using natural language processing (NLP) and artificial intelligence and machine learning (AI/ML) enables line-of-business personnel to query the data faster, generate reports themselves without depending on IT, and make

Analytics 130

Analytics Machine Learning Visualization Reporting 130

DataKitchen

JANUARY 19, 2022

The Matillion data integration and transformation platform enables enterprises to perform advanced analytics and business intelligence using cross-cloud platform-as-a-service offerings such as Snowflake. The DataKitchen DataOps Platform provides a way to extend Matillion’s powerful cloud-native data integrations with DataOps capabilities that span the heterogeneous tools environments characteristic of large enterprises.

Testing 130

Testing Data Integration Data Warehouse Enterprise 130

Advertisement

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?

Business Intelligence

KDnuggets

JANUARY 19, 2022

The landscape of programming languages is rich and expanding, which can make it tricky to focus on just one or another for your career. We highlight some of the most popular languages that are modern, widely used, and come with loads of packages or libraries that will help you be more productive and efficient in your work.

IT 160

IT 160

Analytics Vidhya

JANUARY 15, 2022

This article was published as a part of the Data Science Blogathon. Overview The core of the data science project is data & using it to build predictive models and everyone is excited and focused on building an ML model that would give us a near-perfect result mimicking the real-world business scenario. In trying to achieve […]. The post Overview of MLOps With Open Source Tools appeared first on Analytics Vidhya.

Predictive Modeling 396

Predictive Modeling Data Science Publishing Modeling 396

Cloudera

JANUARY 21, 2022

This blog will summarise the security architecture of a CDP Private Cloud Base cluster. The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. The release of CDP Private Cloud Base has seen a number of significant enhancements to the security architecture including: Apache Ranger for security policy management.

Data Processing 117

Data Processing Management Finance Cost-Benefit 117

DataKitchen

JANUARY 17, 2022

The Challenge. A large pharmaceutical Business Analytics (BA) team struggled to provide timely analytical insight to its business customers. The company invested significant effort into managing lists of potential prescribers for certain drugs and treatments. However, the BA team spent most of its time overcoming error-prone data and managing fragile and unreliable analytics pipelines. .

Experimentation 130

Experimentation Data Lake Predictive Modeling Marketing 130

Advertisement

📌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.

Data-driven

KDnuggets

JANUARY 19, 2022

Here are some of the data science technologies needed to build a comprehensive and smooth supply chain pipeline.

Data Science 160

Data Science Technology 160

Analytics Vidhya

JANUARY 21, 2022

This article was published as a part of the Data Science Blogathon. Hey Guys, Hope you all are doing well. In this article, we will be learning how you can develop and deploy an image classifier using flask. Like my other articles, this article will give you hands-on experience with code and at the end of […]. The post Develop and Deploy Image Classifier using Flask: Part 1 appeared first on Analytics Vidhya.

Data Science 394

Data Science Publishing Analytics 394

Smart Data Collective

JANUARY 19, 2022

Big data is extremely important in the marketing profession. This is supported by the fact that companies around the world will be spending over $4.6 billion on marketing analytics by 2026. A growing number of companies are using data analytics to better understand the mindset of their customers, provide better customer service , forecast industry trends and identify the ROI of various marketing strategies.

Consulting 110

Consulting Data-driven Marketing Strategy 110

Dataiku

JANUARY 21, 2022

This is a blog post from our friends at Morgan Hill and Pine Tree. Morgan Hill is a team comprising ex-CIO’s of multinational businesses, finance professionals, hedge fund managers, data analysts, data scientists, and systems architects, with hundreds of years of experience in delivering solutions to financial markets and to industry, both using advanced algorithm-based technology.

Finance 105

Finance Marketing Technology Management 105

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.

Marketing

KDnuggets

JANUARY 17, 2022

Also: Top Five SQL Window Functions You Should Know For Data Science Interviews; A Deep Look Into 13 Data Scientist Roles and Their Responsibilities; SQL Interview Questions for Experienced Professionals; Why Do Machine Learning Models Die In Silence?

Data Science 160

Data Science Machine Learning Modeling 160

Analytics Vidhya

JANUARY 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction According to the Bureau of Labor Statistics, the job outlook for computer and information research scientists, data scientists is projected to grow by at least 19 per cent by 2026. Data is collected and processed in every company regardless of the domain. Data […].

Statistics 376

Statistics Data Science Publishing Analytics 376

Cloudera

JANUARY 18, 2022

Each year, the Cloudera Data Impact Awards recognize organizations that have accomplished amazing things with innovative data solutions. . For 2021, the awards will include a new category: People First. Entrants in this category were asked to demonstrate how they have addressed the world’s “most difficult workplace and societal challenges” with solutions aimed at transforming work culture and society as a whole.

Data Lake 101

Data Lake Digital Transformation Data-driven Dashboards 101

Octopai

JANUARY 20, 2022

Know anyone who’s gone off the grid? It’s a popular trend , whether it’s motivated by the desire to live sustainably, to experience a slower, less distracted pace of life, or to disappear from the eyes of society. But while going-off-the-grid-and-becoming-untraceable might be wonderful for some human folks, it’s not what you want happening to your data.

Software 98

Software IT Data-driven Enterprise 98

Advertisement

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.

Reporting

KDnuggets

JANUARY 20, 2022

In this article, I will provide you with a list of artificial intelligence project ideas that would look great on your resume. .

159

159

Analytics Vidhya

JANUARY 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction Boosting is a key topic in machine learning. Numerous analysts are perplexed by the meaning of this phrase. As a result, in this article, we are going to define and explain Machine Learning boosting. With the help of “boosting,” machine learning models are […].

Machine Learning 370

Machine Learning Data Science Publishing Modeling 370

Dataiku

JANUARY 18, 2022

So, you want to change your company culture to be more data driven and use AI everyday. You want to get advanced analytics beyond the Center of Excellence (or what one of my customers call the RSPD, Really Smart People Department, and another calls the bottleneck) and into all your business units and business functions. This article discusses how executives can use price and demand to increase AI development.

Data-driven 98

Data-driven Analytics 98

TDAN

JANUARY 18, 2022

Data Accuracy is one of the so-called “dimensions” of Data Quality. The goal for these dimensions, and it is a noble one, is so we can measure each of them, and should deficiencies be found then there should be a uniform set of best practices that we can implement. Of course, these best practices will differ from […].

Data Quality 98

Data Quality Measurement IT Data Strategy 98

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.

Business Intelligence

KDnuggets

JANUARY 15, 2022

In our first weekly roundup of data science nuggets from around the web, check out a list of curated articles on Kaggle datasets, Python debugging tools, what it is data scientists do, an overview of YOLO, 2-dimensional PyTorch tensors, and the secrets of machine learning deployment.

Data Science 159

Data Science Machine Learning IT 159

Analytics Vidhya

JANUARY 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction We all know how popular the Python programming language is amongst Machine learning enthusiasts. So, once a machine learning model is ready, the next step is to deploy it to be used efficiently. But for deployment, there are various frameworks in Python that […]. The post Which is Better for Machine Learning: Flask vs Django?

Machine Learning 366

Machine Learning Data Science Publishing Modeling 366

Cloudera

JANUARY 19, 2022

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases. Our position as a Visionary in the Gartner Magic Quadrant for Cloud DBMS market speaks to our product excellence and market-leading-vision of a hybrid, multifunction integrated platform with built-in security

Reporting 96

Reporting Data Warehouse Data Lake Machine Learning 96

TDAN

JANUARY 18, 2022

Whether you’re stepping into a new organization as a data lead or trying to overhaul your data infrastructure, the first step in the process is to understand how your organization currently uses data. While that may sound simple, it can be an intimidating process to start. This is the beginning of a series of articles […].

Data Quality 96

Data Quality IT Data Strategy Strategy 96

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.

Data-driven