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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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.
Advertisement
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?
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.
Cloudera
DECEMBER 12, 2022
Over the past few months industry analysts have been making some pretty controversial recommendations for data management in the cloud. For a thoughtful and entertaining analysis, I strongly recommend you spend a few minutes watching the keynote session by Pat Moorhead, CEO Moor Insights & Strategy, at the Evolve 2022 Data event in New York. His takeaway: “The world is very much going to be hybrid and multi-cloud.
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.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
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.
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.
Cloudera
DECEMBER 16, 2022
We are pleased to announce that Cloudera has been named a Leader in the 2022 Gartner ® Magic Quadrant for Cloud Database Management Systems. Cloudera has been recognized in this cloud DBMS report since its inception in 2020. This year we’ve been named a Leader. This validates our significant momentum in global enterprises. And together, with our recent recognition in the Gartner Peer Insights Customer Choice Distinction for Cloud DBMS , cements our position as an industry leader.
KDnuggets
DECEMBER 13, 2022
The cheat sheets cover various NLP techniques, tasks, algorithms, frameworks, and analytics.
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.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
ThoughtSpot
DECEMBER 16, 2022
The FIFA World Cup 2022 is nearing its end, and the final game promises to be a nail biter. What started with 32 countries battling it out for close to a month, will now culminate in a play-off between Argentina and France. FIFA projects more than 5 billion people to tune in for the tournament, perhaps making the World Cup Final 2022 the most watched event of the year!
Cloudera
DECEMBER 15, 2022
Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Cloudera partners are also benefiting from Apache Iceberg in CDP. For example, Modak Nabu is helping their enterprise customers accelerate data ingestion, curation, and consumption at petabyte scale.
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!
LinkedIn Engineering
DECEMBER 15, 2022
As teams and applications experience growth, it���s critical to adopt architectures that optimize for clear code ownership, build isolation, and provide efficient delivery of code. While many projects start small with just one or two repositories (for example, frontend and backend), this approach often becomes difficult to maintain as the codebases expand.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
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.
Cloudera
DECEMBER 13, 2022
How Agencies Can Gain the Cyber Edge with Smart Data Solutions. For the vast majority of US citizens, the front lines of conflict are witnessed from thousands of miles away on the nightly news. But for government agencies, these physical conflicts are the tip of the iceberg as cyberattacks persist as an underlying constant, inflicting enduring damage regardless of geopolitical tension or location. .
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.
U-Next
DECEMBER 16, 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 and yet hungry to discover and innovate things never heard of before, our determination does not seem to be even mildly deterred 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.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
ThoughtSpot
DECEMBER 15, 2022
Late last June, I had the opportunity to attend a ThoughtSpot User Group session in London and share how ThoughtSpot has impacted global procurement at Roche—notably how it’s helped my team not become a dashboard factory for the rest of our business. For 125 years, Roche has been making a difference in the lives of millions. Based out of Basel, Switzerland, we’re a multinational healthcare company with 100,000 plus employees that operates worldwide under two divisions: Pharmaceuticals and Diagno
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.
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.
dbt Developer Hub
DECEMBER 14, 2022
In seventh grade, I decided it was time to pick a realistic career to work toward, and since I had an accountant in my life who I really looked up to, that is what I chose. Around ten years later, I finished my accounting degree with a minor in business information systems (a fancy way of saying I coded in C# for four or five classes). I passed my CPA exams quickly and became a CPA as soon as I hit the two-year experience requirement.
Speaker: Evelyn Chou
Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.
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.
Ascend.io
DECEMBER 14, 2022
As data became the backbone of most businesses, data integration emerged as one of the most significant challenges. Today, a good part of the job of a data engineer is to move data from one place to another by creating pipelines that can be either ETL vs. ELT. ETL has been the traditional way to manage pipelines for decades. However, with the advent of cloud-based infrastructure, ETL is changing towards ELT.
KDnuggets
DECEMBER 12, 2022
KDnuggets recently had the opportunity to sit down with newly-released acclaimed artificial intelligence ChatGTP from OpenAI. What we found during the course of conversation was both interesting and surprising. Read on to find out what ChatGPT knew about data science and much more.
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.
Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL
Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.
Expert insights. Personalized for you.
196 
Let's personalize your content