Sat.Jan 29, 2022 - Fri.Feb 04, 2022

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Data Science Programming Languages and When To Use Them

KDnuggets

Read this guide through the most common data science programming languages and when to use them in data science.

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The Most Unique Snowflake

Cloudera

Okay, I admit, the title is a little click-batey, but it does hold some truth! I spent the holidays up in the mountains, and if you live in the northern hemisphere like me, you know that means that I spent the holidays either celebrating or cursing the snow. When I was a kid, during this time of year we would always do an art project making snowflakes.

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Streaming ETL SFDC Data for Real-Time Customer Analytics

Confluent

A common challenge organizations face is how to extract, transform, and load (ETL) Salesforce data into a data warehouse, so that the business can use the data. Salesforce (SFDC) is […].

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Effective Pandas Patterns For Data Engineering

Data Engineering Podcast

Summary Pandas is a powerful tool for cleaning, transforming, manipulating, or enriching data, among many other potential uses. As a result it has become a standard tool for data engineers for a wide range of applications. Matt Harrison is a Python expert with a long history of working with data who now spends his time on consulting and training. He recently wrote a book on effective patterns for Pandas code, and in this episode he shares advice on how to write efficient data processing routines

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A Guide to Debugging Apache Airflow® DAGs

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7 Steps to Mastering Machine Learning with Python in 2022

KDnuggets

Are you trying to teach yourself machine learning from scratch, but aren’t sure where to start? I will attempt to condense all the resources I’ve used over the years into 7 steps that you can follow to teach yourself machine learning.

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The Top FinServ Trends & Predictions for 2022

Teradata

From Open Finance and Insurance to FinCrime and Crypto, hear from one of our expert on the top FinServe trends and predictions to look out for in 2022. Read more.

More Trending

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A Reflection On Learning A Lot More Than 97 Things Every Data Engineer Should Know

Data Engineering Podcast

Summary The Data Engineering Podcast has been going for five years now and has included conversations and interviews with a huge number of guests, covering a broad range of topics. In addition to that, the host curated the essays contained in the book "97 Things Every Data Engineer Should Know", using the knowledge and context gained from running the show to inform the selection process.

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How to Write SQL in Native Python

KDnuggets

If the idea of being able to link with SQL databases and define, manipulate, and query using Python sounds appealing, check out the SQLModel library.

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HBase to CDP Operational Database Migration Overview

Cloudera

This blog post provides an overview of the HBase to CDP Operational Database (COD) migration process. CDP Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution. It helps developers automate and simplify database management with capabilities like auto-scale and is fully integrated with Cloudera Data Platform (CDP).

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BERT NLP Model Explained for Complete Beginners

ProjectPro

From sending letters in physical mailboxes to direct messages through your favorite social media application, the explosion of text has been astronomical. The innovation and development of mobile devices and computers helped push this increase, and this geometric growth has called for innovative ways to understand and process text. With machine learning taking some significant leaps in the early 2010s, model creation and prediction have been refined to mirror human understanding of linguistic ex

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Delving Deep Into The Field Of Business Analytics Made Simply Easy With IIM Certification!

U-Next

How often do you come across a program where the learners are extremely satisfied with the entire course curriculum and pedagogy and offer to explain the same to prospective learners? Yes! That is how impactful our IIM Indore certified Integrated Program in Business Analytics is when it comes to aiding its learners to fulfill their career aspirations and help them elevate their careers to newer heights.

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Artificial Intelligence and the Metaverse

KDnuggets

For those of you who don’t know, Artificial intelligence (AI) is the ability of a computer or a computer-controlled robot to perform tasks that are usually done by humans as they require human intelligence. Metaverse’s AI research and usage include content analysis, supervised speech processing, computer vision, and much more. .

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Five Ways to Run Analytics on MongoDB – Their Pros and Cons

Rockset

MongoDB is a top database choice for application development. Developers choose this database because of its flexible data model and its inherent scalability as a NoSQL database. These features enable development teams to iterate and pivot quickly and efficiently. MongoDB wasn’t originally developed with an eye on high performance for analytics. Yet, analytics is now a vital part of modern data applications.

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How We Calculate Time on Task, the Business Hours Between Two Dates

dbt Developer Hub

Measuring the number of business hours between two dates using SQL is one of those classic problems that sounds simple yet has plagued analysts since time immemorial. This comes up in a couple places at dbt Labs: Calculating the time it takes for a support ticket to be solved Measuring team performance against response time SLAs We internally refer to this at "Time on Task," and it can be a critical data point for customer or client facing teams.

SQL 52
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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Integrated  Program in Business Analytics: Designed To Help Turn  Your Career Dreams To A Reality!

U-Next

Whether it is to improve efficiency or monitor the progress of a mission, being updated on the general information about the business, the most reliable source is the data. However, the data usually obtained are massive and quite raw in quality. Without the necessary refining, processing, categorizing, and filtering, the data is not of much actual use.

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Effective Testing for Machine Learning

KDnuggets

Given how uncertain ML projects are, this is an incremental strategy that you can adopt as your project matures; it includes test examples to provide a clear idea of how these tests look in practice, and a complete project implementation is available on GitHub. By the end of the post, you’ll be able to develop more robust ML pipelines.

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Training is NOT Optional

Elder Research

The post Training is NOT Optional appeared first on Elder Research.

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Top 10 Data Science Case Study Interview Questions for 2023

ProjectPro

According to Harvard business review, data scientist jobs have been termed “The Sexist job of the 21st century” by Harvard business review. Data science has gained widespread importance due to the availability of data in abundance. As per the below statistics, worldwide data is expected to reach 181 zettabytes by 2025 Source: statists 2021 “Data is the new oil.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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We Can Guarantee That You Would Have Known Nothing Like The BYOP(Bring Your Own Project) Experience!

U-Next

The biggest drawback of traditional education is the lack of practical experience concerning the skills we master. With the industries becoming highly competitive and application-oriented, theoretical knowledge would never be sufficient to make it big in any domain. Having identified this colossal knowledge gap, the Integrated Program in Business analytics by IIM Indore, in collaboration with Jigsaw, was designed to provide learners the perfect balance between theoretical knowledge and practical

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Data Warehousing with Snowflake for Beginners

KDnuggets

This tutorial provides only a brief synopsis of the data warehouse in Snowflake, which we will go through in more detail.

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Thierry Mbemba Grows with Confluent, Emerging as a Sales Leader

Confluent

In four years, Thierry Mbemba has gone from an entry-level salesman at Confluent to one of the leading producers on the company’s worldwide sales team. A customer relationships driver who […].

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How Data Engineering Kicks Your BI Into High Gear

FreshBI

The objective of this blog Building reliable intelligence at the speed of business can be a challenging task. A well-designed data engineering strategy ensures that your analytics resources are spent on uncovering insights rather than laying foundations. In this post we’ll explore some of the benefits and the general steps of forming a data engineering strategy.

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The Ultimate Guide to Apache Airflow DAGS

With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

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Delving Deep Into The Field Of Business Analytics Made Simply Easy With IIM Certification!

U-Next

How often do you come across a program where the learners are extremely satisfied with the entire course curriculum and pedagogy and offer to explain the same to prospective learners? Yes! That is how impactful our IIM Indore certified Integrated Program in Business Analytics is when it comes to aiding its learners to fulfill their career aspirations and help them elevate their careers to newer heights.

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Classifying Long Text Documents Using BERT

KDnuggets

Transformer based language models such as BERT are really good at understanding the semantic context because they were designed specifically for that purpose. BERT outperforms all NLP baselines, but as we say in the scientific community, “no free lunch”. How can we use BERT to classify long text documents?

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Snowflake Architecture and It's Fundamental Concepts

ProjectPro

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. With around 5774 companies using it, Snowflake has recently been added to the top 20 most valued worldwide unicorns and the top 10 most expensive US unicorns.

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Grouparoo v0.8 release

Grouparoo

The v0.8 release is our first major iteration on the user interface for creating your data pipeline. In the v0.7 release, we added Models, which allowed data engineers to sync multiple data schemas to Destinations. This release summarizes those Models better in the UI, giving you a clearer overview of the configuration, making it quicker and easier to sync your data.

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Integrated Program in Business Analytics: Designed To Help Turn Your Career Dreams To A Reality!

U-Next

Whether it is to improve efficiency or monitor the progress of a mission, being updated on the general information about the business, the most reliable source is the data. However, the data usually obtained are massive and quite raw in quality. Without the necessary refining, processing, categorizing, and filtering, the data is not of much actual use.

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How To Design Your Data Science Portfolio

KDnuggets

Read this overview of how the author created a data science portfolio that stands out and gets noticed.

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RudderStack and Iterable Enable Deeper Customer Connections

RudderStack

With RudderStack and Iterable, it’s as easy to collect the data required for great customer experiences as it is to use information to create them

IT 40
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eBook: The Modern Data Leader’s Playbook

Monte Carlo

Learn how today’s best data engineering and analytics leaders are staying ahead of the competition in our exclusive guide. In 2022, every company is a data company. Organizations across industries have access to—and have come to rely on—a tidal wave of proprietary and third-party data. At the same time, the complexity of data sources, pipelines, and workflows is increasing.

Data 40
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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m