Sat.Aug 14, 2021 - Fri.Aug 20, 2021

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What is Data Lineage?

Alation

When you think of lineage, what typically comes to mind is one’s ancestry or pedigree. It’s a family tree that traces a path back past your parents, grandparents, and more, showing from whom you descended and how you’re related. SPOILER ALERT! Lineage traces origin in a “family tree”. The same can be said for data, too. Data lineage shows the history of the data you’re looking at today, detailing where it originated and how it may have changed over time.

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A Day in the Life of a DataOps Engineer

DataKitchen

DataKitchen's DataOps Engineers Priyanjna Sharma & Chip Bloche discuss what DataOps Engineering entails, key skills required & when to add one to your data team. The post A Day in the Life of a DataOps Engineer first appeared on DataKitchen.

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The Growing Role of Analytics in Product Development

Smart Data Collective

Data is an important part of any business, including areas that focus on product development. With data, you can analyze it and then incorporate your findings into the development stages of the product’s creation. As such, you end up with a final product that is a lot more effective than it would be without that influence of analysis. The results of data analysis can take some time, hence why it’s important to introduce this as early on as possible to ensure peak performance.

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Complete guide on how to Use LightGBM in Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction A Gradient Boosting Decision tree or a GBDT is a. The post Complete guide on how to Use LightGBM in Python appeared first on Analytics Vidhya.

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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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A ‘Fresh Squeeze on Data’ to Help Children Learn about Data, AI and Machine Learning

Cloudera

Dear Parents and Educators and Friends of Cloudera, If you are reading this blog, you know us at Cloudera as a group of self-described data geeks and data analysts. We believe data drives better decisions and moves businesses forward and for us, that’s exciting. We are innovating and helping Fortune 500 transform and grow because they can make better data-driven decisions at the accelerated pace we live and work in today.

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Implementing a Pharma Data Mesh using DataOps

DataKitchen

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Below is a discussion of a data mesh implementation in the pharmaceutical space. For those embarking on the data mesh journey, it may be helpful to discuss a real-world example and the lessons learned from an actual data mesh implementation.

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Quick Hacks To Save Machine Learning Model using Pickle and Joblib

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon TABLE OF CONTENTS Introduction Loading dataset and creating our model Saving. The post Quick Hacks To Save Machine Learning Model using Pickle and Joblib appeared first on Analytics Vidhya.

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How Data Cleansing Helps Predictive Modeling Efforts

TDAN

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time. In a world where big data is becoming more popular and the use of predictive modeling is on the rise, there are steps […].

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4 Ways Conversational AI Is Improving the Customer Experience

DataKitchen

The post 4 Ways Conversational AI Is Improving the Customer Experience first appeared on DataKitchen.

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Businesses Discover the Importance of Merging Analytics and Content Marketing

Smart Data Collective

Data is the backbone of effective digital marketing, and content is not just king; it is the entire royal family. When you combine both, you get one of the most formidable and effective marketing strategies ever. Businesses worldwide, especially SaaS businesses, have discovered that smart, measurable content marketing is the key to achieving their business goals.

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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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Creating Continuous Action Bot using Deep Reinforcement Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon To solve any problem using reinforcement learning we need a. The post Creating Continuous Action Bot using Deep Reinforcement Learning appeared first on Analytics Vidhya.

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CBAP certification: A high-profile credential for business analysts

CIO Business Intelligence

The Certified Business Analysis Professional (CBAP) is a credential for business analysts offered by the International Institute of Business Analysis (IIBA). IIBA is a nonprofit professional association founded in 2003 to promote the field of business analysis. The organization describes CBAP as a credential that “recognizes seasoned BA professionals who have over five years of practical business analysis work experience.

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AIOps Benefits All Aspects of the Enterprise

DataKitchen

The post AIOps Benefits All Aspects of the Enterprise first appeared on DataKitchen.

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Top eCommerce Metrics for Online Businesses to Study with Analytics

Smart Data Collective

Analytics technology is very important for online businesses. You need to pay close attention to analytics data on various KPIs to determine whether your strategy is working well and what tweaks need to be made. As an eCommerce entrepreneur, you have the benefit of being able to access a plethora of data at any time about multiple areas of your business and how consumers interact with it.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Exploratory Data Analysis and Visualization Techniques in Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Photo by fauxels from Pexels What is Exploratory Data Analysis? Exploratory. The post Exploratory Data Analysis and Visualization Techniques in Data Science appeared first on Analytics Vidhya.

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DAMA International Community Corner: August 2021 – A Wrap for Now

TDAN

It has been an incredible run. I hope it is just “see you soon” rather than “goodbye.” With this column, DAMA International’s streak of quarterly columns since mid-2001 is coming to an end. The columns have featured the activities and incredible work of DAMA International over the past two decades. Thank you, DAMA, and I […].

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DataOps engineers run toward error and automate it away

DataKitchen

The post DataOps engineers run toward error and automate it away first appeared on DataKitchen.

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4 Ways to Use Analytics to Measure and Optimize Business Growth

Smart Data Collective

Data analytics has upended the world of business in countless ways. A growing number of businesses are discovering new applications for data analytics technology as they strive to streamline operations and boost their bottom lines. Many companies have found that analytics technology is ideal for optimizing their business models in a number of ways. This can help them grow considerably.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Computer Vision and How It is Shaping the World Around Us

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Since the initial breakthrough in Computer Vision achieved by A. Krizhevsky. The post Computer Vision and How It is Shaping the World Around Us appeared first on Analytics Vidhya.

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Business Pace Contributes to Data Challenges

TDAN

The increasing speed and pace of business certainly contributes to several data challenges (quality, timeliness, availability and, most important, usability of the data). As the number of data sources increase and data volumes expand along with the demand from the business to access data on a timelier basis, pressures begin to form on the underlying […].

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Using AWS, Dataiku, and Tableau to Make Decisions Quickly and Efficiently

Dataiku

This is a guest article from our friends at Interworks. Interworks is a people-focused tech consultancy delivering premier service and expertise in collaboration with strategic partners. We are trusted to empower clients with the right people and solutions aligned to their unique needs. From data management and visualization to server monitoring and maintenance, we can customize the best data and IT solutions for you.

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Data-Driven Approaches to Better Optimized Enterprise Workflows

Smart Data Collective

Big data has been a very important part of modern human resource solutions. One of the biggest implications of big data in human resources has pertained to enterprise workflow management. Every business, from a small one-person shop to an enterprise level company needs to find ways to be more efficient. This means efficiency in spending, and efficiency in their workflows.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Build your first artificial neural networks using Pytorch

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction We all want to dive deep into deep learning and. The post Build your first artificial neural networks using Pytorch appeared first on Analytics Vidhya.

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Why Data Mesh Needs Data Virtualization

Data Virtualization

“Data mesh” is a new data analytics paradigm proposed by Zhamak Dehghani, one that is designed to move organizations from monolithic architectures such as the data warehouse and the data lake to more decentralized architectures. As long-time supporters of logical. The post Why Data Mesh Needs Data Virtualization appeared first on Data Virtualization blog.

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Data Workbench: Why Your Organization May Need One

Dataiku

This is a guest article from our friends at Dataquest. Dataquest is a data science learning platform with a quickly growing community of learners.

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Top 5 Data-Driven Lease Accounting Software Solutions

Smart Data Collective

Big data has radically changed the accounting profession. Accountants are using new software with sophisticated machine learning algorithms to better address the nuances of their situations. They are also using more advanced data analytics tools to make more meaningful insights into the nature of their clients’ financial matters. Cloud technology has also helped accountants.

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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.

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Better EDA with 3 Easy Python Libraries for Any Beginner

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Image Source: Author Data Science enthusiasts know that raw data. The post Better EDA with 3 Easy Python Libraries for Any Beginner appeared first on Analytics Vidhya.

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Why Data Mesh Needs Data Virtualization

Data Virtualization

“Data mesh” is a new data analytics paradigm proposed by Zhamak Dehghani, one that is designed to move organizations from monolithic architectures such as the data warehouse and the data lake to more decentralized architectures. As long-time supporters of logical. The post Why Data Mesh Needs Data Virtualization appeared first on Data Virtualization blog.

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GraphDB Users Ask: How to size the GraphDB cluster? Are resources shared across workers? What are the master requirements?

Ontotext

ONTOTEXT ANSWER: There comes a point in an application’s life when it must scale. And that brings about the natural worries related to it. No need to panic, though. Just read on! First of all, you need to consider that there are two models of clustering. First, there’s sharding or partitioning. In this setup, all nodes in the cluster hold a part of the data.

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How Automation Streamlines Data Management

Smart Data Collective

Managing data is a challenge. It’s not hard to collect data, but most companies collect data in disparate locations and across multiple applications that don’t talk to each other. With this model, multiple reports are required to crunch data from multiple sources. That requires manually entering data into yet another application to generate a final report.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.