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 151
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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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A Notebook is all I want or Don't

Data Engineering Weekly

The tweet received strong reactions on LinkedIn and Twitter. To clarify, I quoted it as a Notebook-style development, but it is not exactly a Notebook. There is a lot of context missing in that tweet, so I decided to write a blog about it. People have reservations about using tools like Jupytor Notebook for the production pipeline for a good reason.

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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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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.

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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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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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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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SoftBank Selects Cloudera Data Platform to Leverage Customer Intelligence While Ensuring Data Security

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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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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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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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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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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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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Apache Airflow® Crash Course: From 0 to Running your Pipeline in the Cloud

With over 30 million monthly downloads, Apache Airflow is the tool of choice for programmatically authoring, scheduling, and monitoring data pipelines. Airflow enables you to define workflows as Python code, allowing for dynamic and scalable pipelines suitable to any use case from ETL/ELT to running ML/AI operations in production. This introductory tutorial provides a crash course for writing and deploying your first Airflow pipeline.

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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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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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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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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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Optimizing The Modern Developer Experience with Coder

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.

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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.

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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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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 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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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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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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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.

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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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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.

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The Cloud Development Environment Adoption Report

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.

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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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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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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