Start Data Engineering
DECEMBER 11, 2022
1. Introduction 2. Source & Sink 2.1. Source Replayability 2.2. Source Ordering 2.3. Sink Overwritability 3. Data pipeline patterns 3.1. Extraction patterns 3.1.1. Time ranged 3.1.2. Full Snapshot 3.1.3. Lookback 3.1.4. Streaming 3.2. Behavioral 3.2.1. Idempotent 3.2.2. Self-healing 3.3. Structural 3.3.1. Multi-hop pipelines 3.3.2. Conditional/ Dynamic pipelines 3.3.3.
Confessions of a Data Guy
DECEMBER 10, 2022
There once was a day when no one used DataFrames that much. Back before Spark had really gone mainstream, Data Scientists were still plinking around with Pandas a lot. My My, what would your mother say? How things have changed. Now everyone wants a piece of the DataFrame pie. I mean it tastes so good, […] The post Dataframe Showdown – Polars vs Spark vs Pandas vs DataFusion.
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Christophe Blefari
DECEMBER 16, 2022
Prepping me to deliver Christmas' Data News ( credits ) Hey you, the end of the year is coming soon. I really liked this year with you. It was super fun to write every Friday of the year my opinion on data topics, I don't know yet if next year I'll be able to pull out stuff without repeating myself, I hate repeating myself, but for sure I'll try and I'll continue.
Jesse Anderson
DECEMBER 12, 2022
In the beginning, there was Google. Google looked over the expanse of the growing internet and realized they’d need scalable systems. They created MapReduce and GFS in 2004. They published the papers for them in the same year. Doug Cutting took those papers and created Apache Hadoop in 2005. Cloudera was started in 2008, and HortonWorks started in 2011.
Speaker: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
Seattle Data Guy
DECEMBER 10, 2022
If you haven’t started looking for ways to improve your data analytics budget for 2023, then you’re probably already behind. The truth is that between all of the various economic indicators and investor letters, everyone is looking to improve audit all parts of their business. Especially where there has likely been bloat. One of those… Read more The post Reducing Data Analytics Costs In 2023 – Doing More With Less appeared first on Seattle Data Guy.
KDnuggets
DECEMBER 16, 2022
Many aspiring Data Scientists, especially when self-learning, fail to learn the necessary math foundations. These recommendations for learning approaches along with references to valuable resources can help you overcome a personal sense of not being "the math type" or belief that you "always failed in math.".
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Teradata
DECEMBER 15, 2022
Vehicle data is invaluable in improving the safety & safe operation of vehicles for their occupants & other drivers. The next gen of vehicles will use real-time analysis to make driving even safer.
Confluent
DECEMBER 14, 2022
As businesses move to meet modern demands, these technologies ensure not only a digital transformation, but data transformation, with new use cases surrounding real-time data.
KDnuggets
DECEMBER 15, 2022
Get more experience by working on web scraping, data analytics, time-series forecasting, machine learning, and deep learning projects.
Data Engineering Podcast
DECEMBER 11, 2022
Preamble This is a cross-over episode from our new show The Machine Learning Podcast , the show about going from idea to production with machine learning. Summary Data is one of the core ingredients for machine learning, but the format in which it is understandable to humans is not a useful representation for models. Embedding vectors are a way to structure data in a way that is native to how models interpret and manipulate information.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
LinkedIn Engineering
DECEMBER 16, 2022
Saira joined our Bangalore site reliability engineering (SRE) team to tackle large-scale, site engineering challenges and grow. She highlights for us the impactful work she found here �����from ushering in LinkedIn���s next-generation, server query system that runs over a fleet of 350,000 servers, to mentoring the next generation of female engineers: In my engineering career, I���ve always followed the path less taken.
Lyft Engineering
DECEMBER 16, 2022
The disproportionate impact of policing on communities of color¹ is a central social and policy concern in the United States, and a topic of intense study in academia. Lyft is uniquely positioned to contribute to this discourse and the academic research and literature on this topic using data from the large number of trips on our rideshare platform.
KDnuggets
DECEMBER 14, 2022
Markdown is a lightweight markup language for creating formatted text using a plain-text editor. Grab this handy reference sheet to make certain you know how to implement what you need to, when you want to!
Scott Logic
DECEMBER 15, 2022
In this episode, I’m joined by colleagues Oliver Cronk, Peter Chamberlin and Chris Price for a lively discussion about blockchain. We start by looking at the mechanics of bitcoin, and the economic incentive model formed by proof of work consensus. From there, we discuss enterprise or permission blockchain, which leads us to discuss some specific use cases, for example the oil market supply-chain challenges.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
U-Next
DECEMBER 15, 2022
Exploring the unknown and achieving new milestones every other day seems to be the norm of the 21 st century. Even at the peak of technological innovation the human’s hunger or determination to discover and innovate things never heard of before does not seem to be even mildly deterred even by a global pandemic. In fact, the pandemic only made us realize how much we do not know about the world we live in and how much more there is to know and discover.
Rockset
DECEMBER 14, 2022
Rockset’s native connector for Amazon Managed Streaming for Apache Kafka (MSK) makes it simpler and faster to ingest streaming data for real-time analytics. Amazon MSK is a fully managed AWS service that gives users the ability to build and run applications using Apache Kafka. Amazon MSK provides control-plane operations such as creating and deleting clusters, while allowing users to use Apache Kafka data-plane operations for producing and consuming data.
KDnuggets
DECEMBER 13, 2022
The cheat sheets cover various NLP techniques, tasks, algorithms, frameworks, and analytics.
Trio
DECEMBER 14, 2022
Both Java and C++ are equally renowned when it comes to building modern, industry-leading applications and platforms. Both have existed for decades now, share many similarities in syntax, and support object-oriented programming (OOP). In fact, Java was an extension of the C language, intended to serve a broader audience than C++.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Cloudyard
DECEMBER 13, 2022
Read Time: 4 Minute, 23 Second During this post we will discuss how AWS S3 service and Snowflake integration can be used as Data Lake in current organizations. How customer has migrated On Premises EDW to Snowflake to leverage snowflake Data Lake capabilities. Moreover, We will use the below architecture to showcase the Demo where convert the existing Data Lake to Snowflake Deployment.
Workfall
DECEMBER 12, 2022
Reading Time: 7 minutes Twilio is all about empowering #communication in a convenient and timely manner. In this blog, we will demonstrate how to build a communication microservice to send text messages using Twilio and Express. Let’s get started! Required Installations: Node.js: It is a JavaScript runtime environment that executes JavaScript code outside the browsers.
KDnuggets
DECEMBER 12, 2022
4 Useful Intermediate SQL Queries for Data Science • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • 3 Free Machine Learning Courses for Beginners • 7 Essential Cheat Sheets for Data Engineering • 7 Techniques to Handle Imbalanced Data.
Databand.ai
DECEMBER 13, 2022
The Top 25 Data Engineering Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-13 10:23:19 Interested in data engineering? You’ve come to the right place. Whether you’re a data engineering pro looking to stay up to date on the latest trends or new to the space and want to learn more, following the right leaders and joining the right conversations can make all the difference when it comes to plugging into the data engineering community.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Teradata
DECEMBER 13, 2022
Over the years, the finance function has evolved from pure accounting to being a catalyst of change. We are at the table, not just talking about the numbers, but influencing the business strategy.
Acceldata
DECEMBER 12, 2022
Clearly, cost is top of mind for most Snowflake data teams. What’s notable about this particular metric is that other top concerns – data quality and performance – are both intrinsically related to cost.
KDnuggets
DECEMBER 16, 2022
Customer sentiment analysis involves collecting, analyzing, and leveraging data to understand customers' feelings. This article focuses on how to collect data for customer sentiment analysis.
Cloudyard
DECEMBER 10, 2022
Read Time: 4 Minute, 28 Second During this post we will discuss one of the important Snowflake Capability i.e. Query Acceleration Service a.k.a. (QAS). When statement is submitted to a warehouse, Snowflake allocates resources for executing the statement. If there aren’t enough resources available, the statement is queued or additional warehouses are started, depending on the warehouse.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
databricks
DECEMBER 12, 2022
Releasing any data pipeline or application into a production state requires planning, testing, monitoring, and maintenance. Streaming pipelines are no different in this.
Acceldata
DECEMBER 14, 2022
To effectively productize data, organizations need to first ensure that their data delivery, availability, and quality is reliable. Learn more here about data reliability.
KDnuggets
DECEMBER 14, 2022
This blog post uses the Concrete-ML library, allowing data scientists to use machine learning models in fully homomorphic encryption (FHE) settings without any prior knowledge of cryptography. We provide a practical tutorial on how to use the library to build a sentiment analysis model on encrypted data.
Propel Data
DECEMBER 13, 2022
You can now power customer-facing analytics use cases such as insights dashboards, product usage reporting, or analytics APIs with Parquet f
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“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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