Fri.May 03, 2024

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5 Simple Steps to Automate Data Cleaning with Python

KDnuggets

Automate your data cleaning process with a practical 5-step pipeline in Python, ideal for beginners.

Python 152
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Executive Overview: The Rise of Open Foundational Models

databricks

Moving generative AI applications from the proof of concept stage into production requires control, reliability and data governance. Organizations are turning to open.

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Meta’s New Data Analyst Professional Certification Has Dropped!

KDnuggets

Start a new career with Meta’s Data Analyst Certification and be job-ready in 5 months or less!

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Agile Coach vs Scrum Master: The Difference Stated

Knowledge Hut

Agile methodology is a simple, flexible, and iterative product development model with the distinct advantages of accommodating new requirement changes and incorporating the feedback of the previous iterations over the traditional waterfall development model. Agile methodology is the most popular and dynamic software product development and project maintenance model.

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A Guide to Debugging Apache Airflow® DAGs

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

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Modeling Slowly Changing Dimensions

Towards Data Science

A deep dive into the various SCD types and how they can be implemented in Data Warehouses Continue reading on Towards Data Science »

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How to Stand Out in a Python Coding Interview - Functions, Data Structures & Libraries

Knowledge Hut

Any coding interview is a test that primarily focuses on your technical skills and algorithm knowledge. However, if you want to stand out among the hundreds of interviewees, you should know how to use the common functionalities of Python in a convenient manner. Before moving ahead, read about Self in Python and what is markdown ! The type of interview you might face can be a remote coding challenge, a whiteboard challenge or a full day on-site interview.

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Apache Kafka Vs Apache Spark: Know the Differences

Knowledge Hut

A new breed of ‘Fast Data’ architectures has evolved to be stream-oriented, where data is processed as it arrives, providing businesses with a competitive advantage. - Dean Wampler (Renowned author of many big data technology-related books) Dean Wampler makes an important point in one of his webinars. The demand for stream processing is increasing every day in today’s era.

Kafka 98
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Get Your AI to Production Faster: Accelerators For ML Projects

Cloudera

One of the worst-kept secrets among data scientists and AI engineers is that no one starts a new project from scratch. In the age of information there are thousands of examples available when starting a new project. As a result, data scientists will often begin a project by developing an understanding of the data and the problem space and will then go out and find an example that is closest to what they are trying to accomplish.

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What is Power BI Used For - Practical Applications Of Power BI

Knowledge Hut

Organizations deal with lots of data regularly. But in case you are not able to access or connect with that important data, you are not yielding anything. You are keeping your organizations away from getting the value. Practical Uses of Power BI Microsoft Power BI will help you solve this problem with the help of a powerful business intelligence tool that mainly stresses on Visualization.

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Hevo Data vs IICS Informatica Data Integration: 4 Critical Factors

Hevo

Data integration is an essential task in most organizations. The reason is that many organizations are generating huge volumes of data. This data is not always stored in a single location, but in different locations including in on-premise databases and in the cloud.

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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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Decision Tree Algorithm in Machine Learning: Types, Examples

Knowledge Hut

Machine Learning is an interdisciplinary field of study and is a sub-domain of Artificial Intelligence. It gives computers the ability to learn and infer from a huge amount of homogeneous data, without having to be programmed explicitly. Before dwelling on this article, let's know more about r squared meaning here. Types of Machine Learning: Machine Learning can broadly be classified into three types: Supervised Learning: If the available dataset has predefined features and labels, on which

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Migrate Azure Postgres to Redshift: Maximize Data Performance

Hevo

Insights generation from in-house data has become one of the most critical steps for any business. Integrating data from a database into a data warehouse enables companies to obtain essential factors influencing their operations and understand patterns that can boost business performance.

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Fundamentals of Apache Spark

Knowledge Hut

Introduction Before getting into the fundamentals of Apache Spark, let’s understand What really is ‘Apache Spark’ is? Following is the authentic one-liner definition. Apache Spark is a fast and general-purpose, cluster computing system. One would find multiple definitions when you search the term Apache Spark. All of those give similar gist, just different words.

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Effortless Data Migration from Azure Postgres to Snowflake: 2 Easy Methods

Hevo

Data is a powerful tool for organizational success today. When used effectively, it provides valuable insights into everyday operations to maximize business value. However, businesses may face data storage and processing challenges in a data-rich world.

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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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How BI Can Inform Your ERP Selection Process (Manufacturing)

FreshBI

For businesses that derive their revenue from Manufacturing or Distribution, the choice for ERP includes MS Dynamics 365 Biz Central, SAP Biz One Pro, SYSPRO, Netsuite, Acumatica. The purpose of this blog is to provide an example of how a manufacturing operation can use Business Intelligence (BI) anchored in its economic engine, to inform the ERP selection process.

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Azure MySQL to Redshift: Optimizing Data Warehousing Capabilities

Hevo

Imagine you are managing a rapidly growing e-commerce platform. That platform generates a large amount of data related to transactions, customer interactions, product details, feedback, and more. Azure Database for MySQL can efficiently handle your transactional data.

MySQL 52
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Enterprise Data Quality: 3 Quick Tips from Data Leaders

Monte Carlo

It’s 2024, and the data estate has changed. Data systems are more diverse. Architectures are more complex. And with the acceleration of AI, that’s not changing any time soon. But even though the data landscape is evolving, many enterprise data organizations are still managing data quality the “old” way: with simple data quality monitoring. The basics haven’t changed: high-quality data is still critical to successful business operations.

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Azure MySQL to Snowflake: 2 Efficient Data Migration Methods

Hevo

In today’s digital era, businesses continually look for ways to manage their data assets. Azure Database for MySQL is a robust storage solution that manages relational data. However, as your business grows and data becomes more complex, managing and analyzing it becomes more challenging. This is where Snowflake comes in.

MySQL 52
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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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Dynamic Merge Procedure: Snowflake’s Enhanced Flexibility

Cloudyard

Read Time: 1 Minute, 32 Second Last week, I introduced a stored procedure called DYNAMIC_MERGE , which dynamically retrieved column names from a staging table and used them to construct a MERGE INTO statement. While this approach offered flexibility, it had a limitation – the HASH condition used static column names. Hence relying on static column names, limiting the procedure’s adaptability across different tables.

Process 52
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The Ultimate Guide to Master Snowflake Data Lineage

Hevo

If your organization is data-driven, it is important to understand your data’s origin, movement, and transformation. This imparts transparency within your organization, ensures data integrity, and enables informed decision-making. You can use data lineage for this.

Data 52
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How to use sorted() and sort() in Python 3

Knowledge Hut

Whenever you visit a pharmacy and ask for a particular medicine, have you noticed something? It hardly takes any time for the pharmacist to find it among several medicines. This is because all the items are arranged in a certain fashion which helps them know the exact place to look for. They may be arranged in alphabetical order or according to their category such as ophthalmic or neuro or gastroenterology and so on.

Python 52
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Data Quality Monitoring: A Guide to Ensure Data Integrity

Hevo

Most organizations today practice a data-driven culture, emphasizing the importance of evidence-based decisions. You can also utilize the data available about your organization to perform various analyses and make data-informed decisions, contributing towards sustainable business growth.

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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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Scala Vs Python Vs R Vs Java - Which language is better for Spark & Why?

Knowledge Hut

One of the most important decisions for Big data learners or beginners is choosing the best programming language for big data manipulation and analysis. Understanding business problems and choosing the right model is not enough, but implementing them perfectly is equally important and choosing the right language (or languages) for solving the problem goes a long way.

Scala 52
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Data Migration from AWS RDS Oracle to Redshift: 2 Efficient Methods

Hevo

Cloud solutions like AWS RDS for Oracle offer improved accessibility and robust security features. However, as data volumes grow, analyzing data on the AWS RDS Oracle database through multiple SQL queries can lead to inconsistency and performance degradation.

AWS 40
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What are List Methods in Python

Knowledge Hut

Sequence is one of the most basic data types in Python. Every element of a sequence is allocated a unique number called its position or index. The first designated index is zero, the second index is one, and so forth. Although Python comes with six types of pre-installed sequences, the most used ones are lists and tuples, and in this article, we would be discussing lists and their methods.

Python 52
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AWS RDS Oracle to Databricks: Strategic Data Migration Methods

Hevo

While AWS RDS Oracle offers a robust relational database solution over the cloud, Databricks simplifies big data processing with features such as automated scheduling and optimized Spark clusters. Integrating data from AWS RDS Oracle to Databricks enables you to handle large volumes of data within a collaborative workspace to derive actionable insights in real-time.

AWS 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

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Top Benefits of Earning Tableau Certification

Knowledge Hut

What is Tableau? Tableau is a business intelligence and data visualization software. It can create interactive visualizations, dashboards, and reports from any data. Tableau is available in both cloud and desktop versions. The cloud version is subscription-based, while the desktop version is a one-time purchase. Tableau has been recognized as the leading BI and data visualization tool by Forbes, Fortune, and Gartner.

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Data Quality Management Techniques and Best Practices

Hevo

Many organizations today heavily rely on data to make business-related decisions. Data is an invaluable asset that helps you substantiate your convictions with evidence and facilitates stakeholder buy-in. However, ensuring your data is of high quality is paramount as it directly correlates to the accuracy of the desired results.

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Top Features of Power BI

Knowledge Hut

Power BI is a business analytics service by Microsoft that provides users with Data Visualization and Business Intelligence tools with an elementary interface, simple for end-users so that they create reports and dashboards of their own. Microsoft Power BI Course helps to find insights within the data of an organisation. It converts data from various data sources to interactive BI reports and dashboards, like it forms different data models, creates graphs and charts which depict visuals of the d

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A Guide to Effective Data Cleaning Tools in Python

Hevo

The quality of your data analysis and the insights derived directly depends on the quality of the data you feed. This is why data cleaning is crucial in ensuring your datasets are accurate, consistent, and reliable for further analysis.

Python 40
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Apache Airflow® 101 Essential Tips for Beginners

Apache Airflow® is the open-source standard to manage workflows as code. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries. Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.