Analytics Vidhya
FEBRUARY 3, 2023
Introduction “Let’s containerize your code to ship worldwide!” If you read the above quote, you must think, what does this all mean? Well, my friend, this is what Docker is. Let me explain it with an example. Say Harish and Lisa are two people working on the same project but on two different systems(say windows and […] The post Getting Started with The Basics of Docker appeared first on Analytics Vidhya.
KDnuggets
JANUARY 31, 2023
Kickstart your Machine Learning career with these curated GitHub repositories.
The Pragmatic Engineer
FEBRUARY 2, 2023
Originally published 2 February 2023. 👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of seven topics in today’s subscriber-only The Scoop issue. To get this newsletter every week, subscribe here. Apple was the first Big Tech giant to mandate a proper return to the office and back in September 2022, this initiative was in full swing, being rolled out in the US and with 3 days per week in the office mandated in the UK.
Waitingforcode
FEBRUARY 3, 2023
It's time to start the 4th part of the Table file formats series. This time the topic will be Change Data Capture, so how to stream all changes made on the table. As for the 3rd part, I'm going to start with Delta Lake.
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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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Analytics Vidhya
JANUARY 31, 2023
Introduction Big data is revolutionizing the healthcare industry and changing how we think about patient care. In this case, big data refers to the vast amounts of data generated by healthcare systems and patients, including electronic health records, claims data, and patient-generated data. With the ability to collect, manage, and analyze vast amounts of data, […] The post The Impact of Big Data on Healthcare Decision Making appeared first on Analytics Vidhya.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
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databricks
FEBRUARY 1, 2023
What is price transparency and what challenges does it present? In the United States, health care delivery systems and health plans alike are.
Christophe Blefari
FEBRUARY 3, 2023
Delivering the data news ( credits ) Hey you, it's already February. Every week same analysis for me. I plan too many tasks but I slowly deliver. I guess that's how it is. Still I love this Friday rendezvous that we have together. I'm still amazed by how I changed my old habits to add the writing in my workflow. And it brings me a lot of joy.
Analytics Vidhya
JANUARY 30, 2023
Introduction Azure Functions is a serverless computing service provided by Azure that provides users a platform to write code without having to provision or manage infrastructure in response to a variety of events. Whether we are analyzing IoT data streams, managing scheduled events, processing document uploads, responding to database changes, etc. Azure functions allow developers […] The post How to Develop Serverless Code Using Azure Functions?
KDnuggets
FEBRUARY 3, 2023
Learn about Federated Learning and how you can use it in the healthcare sector.
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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Waitingforcode
FEBRUARY 3, 2023
I've written my first Kubernetes on Apache Spark blog post in 2018 with a try to answer the question, what Kubernetes can bring to Apache Spark? Four years later this resource manager is a mature Spark component, but a new question has arisen in my head. Should I stay on YARN or switch to Kubernetes?
Seattle Data Guy
FEBRUARY 1, 2023
Recently several consulting calls started with people asking, “Do we need a data warehouse?” This isn’t a question about whether you need data warehouse consultants, but instead whether you should event start a data warehouse project. Which is a very fair question. Not every company needs a data warehouse. That being said data warehouses can… Read more The post Do You Need A Data Warehouse – A Quick Guide appeared first on Seattle Data Guy.
Analytics Vidhya
JANUARY 30, 2023
Introduction We are all aware of the Internet’s explosive expansion as a primary source of information and a platform for opinion expression. It has now become essential to gather and analyze the ever-expanding data that follows. While in the past, manual analysis of data has been possible and even served us well, the same cannot […] The post Top 10 Applications of Sentiment Analysis in Business appeared first on Analytics Vidhya.
KDnuggets
FEBRUARY 2, 2023
Learn the basics of machine learning, including classification, SVM, decision tree learning, neural networks, convolutional, neural networks, boosting, and K nearest neighbors.
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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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Waitingforcode
FEBRUARY 3, 2023
Four months in cloud history is a huge period of time. Even when 2 of the 4 months are the usual "holiday" months. As you can guess from the title, it's time to see what changed recently on the cloud from a data engineering perspective!
Data Engineering Podcast
JANUARY 29, 2023
Summary Business intelligence has gone through many generational shifts, but each generation has largely maintained the same workflow. Data analysts create reports that are used by the business to understand and direct the business, but the process is very labor and time intensive. The team at Omni have taken a new approach by automatically building models based on the queries that are executed.
Analytics Vidhya
JANUARY 31, 2023
Introduction In today’s world, machine learning and artificial intelligence are widely used in almost every sector to improve performance and results. But are they still useful without the data? The answer is No. The machine learning algorithms heavily rely on data that we feed to them. The quality of data we feed to the algorithms […] The post Practicing Machine Learning with Imbalanced Dataset appeared first on Analytics Vidhya.
KDnuggets
FEBRUARY 1, 2023
There are various challenges in MLOps and model sharing, including, security and reproducibility. To tackle these for scikit-learn models, we've developed a new open-source library: skops. In this article, I will walk you through how it works and how to use it with an end-to-end example.
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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?
Waitingforcode
FEBRUARY 3, 2023
Pushdowns in Apache Spark are great to delegate some operations to the data sources. It's a great way to reduce the data volume to be processed in the job. However, there is one important gotcha. Watch out the definition of your predicate because from time to time, even though the pushdown predicate is supported by the data source, the predicate can still be executed by the Apache Spark job!
databricks
JANUARY 31, 2023
As IT leaders kick off the new year during one of the most tumultuous times in recent history, CIOs are being forced to.
Analytics Vidhya
FEBRUARY 2, 2023
Introduction Big data processing is crucial today. Big data analytics and learning help corporations foresee client demands, provide useful recommendations, and more. Hadoop, the Open-Source Software Framework for scalable and scattered computation of massive data sets, makes it easy. While MapReduce, Hive, Pig, and Cascading are all useful tools, completing all necessary processing or computing […] The post An Ultimate Manual to Apache Oozie appeared first on Analytics Vidhya.
KDnuggets
JANUARY 30, 2023
The ChatGPT Cheat Sheet • ChatGPT as a Python Programming Assistant • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.
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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.
Waitingforcode
FEBRUARY 3, 2023
In the previous blog post about Delta Lake you discovered the logic for the writing part. Meantime Delta Lake 2 was released and it's for this brand new version that I'm going to share with you some findings related to the data reading.
Engineering at Meta
JANUARY 31, 2023
We’ve made architecture changes to Meta’s event driven asynchronous computing platform that have enabled easy integration with multiple event-sources. We’re sharing our learnings from handling various workloads and how to tackle trade offs made with certain design choices in building the platform. Asynchronous computing is a paradigm where the user does not expect a workload to be executed immediately; instead, it gets scheduled for execution sometime in the near future without blocking the la
Analytics Vidhya
JANUARY 31, 2023
Introduction YARN stands for Yet Another Resource Negotiator. It is a powerful resource management system for a horizontal server environment. It is designed to be more flexible and generic than the original Hadoop MapReduce system, making it an attractive choice for companies looking to implement Hadoop. It allows companies to process data types and run […] The post YARN for Large Scale Computing: Beginner’s Edition appeared first on Analytics Vidhya.
KDnuggets
JANUARY 31, 2023
Learn how data can be treated as a product and how it can be used to derive value.
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.
Waitingforcode
FEBRUARY 3, 2023
Observability is a hot topic nowadays, not only for the data but also the software industry. Apache Spark innovates in this field a lot, including new metrics for Structured Streaming and an important update added in the 3.0.0 release that I missed at the time, which are the observable metrics.
Towards Data Science
FEBRUARY 3, 2023
Exploring popular data integration strategies for TSDBs including ETL, ELT, and CDC Continue reading on Towards Data Science »
Analytics Vidhya
FEBRUARY 1, 2023
Introduction In this constantly growing technical era, big data is at its peak, with the need for a tool to import and export the data between RDBMS and Hadoop. Apache Sqoop stands for “SQL to Hadoop,” and is one such tool that transfers data between Hadoop(HIVE, HBASE, HDFS, etc.) and relational database servers(MySQL, Oracle, PostgreSQL, […] The post Top 8 Interview Questions on Apache Sqoop appeared first on Analytics Vidhya.
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