Explore tweets tagged as #DataEnginnering
@CoreDataEngr
Core Data Engineers
1 year
*It’s That Time of Year Again #DataFestAfrica2024 Is Here. In just *three days*, the third edition of DataFestAfrica (DataFestAfrica 2024), the biggest gathering of data professionals in Africa will kick off. #CDEBootcamp #CDECommunity #DataEnginnering
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@keboola
Keboola
1 month
New project? Ask your AI: list all my buckets, what’s in marketing,or find anything with churn. Your data lives outside the Keboola? Connect your source in seconds via 700+ native connectors available. Full ▶ https://t.co/5mCO5SGJ3o #MCPServer #DataEnginnering #AIAcutallyHelping
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@JayasreeS433158
Jayasree S
3 months
Day 8 of #90DaysofDataEngineering -Solved 8 problems in leetcode sql 50 study plan #LearnInPublic #DataEnginnering #data
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@spavem
spavem
6 years
Una especialización más completada 👩‍💻😎🤓🙌💅 #GoogleCloud #GCP #DataEnginnering #BigData #MachineLearning
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@emmanuelchukwug
Emmanuel Chukwugozie
1 year
An opportunity to upskill. Thank you @CoreDataEngr for this bootcamp. Interesting learning journey ahead. @DataEnginnering @Bootcamp
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@KSHyperight
Kiril Serafimovski
7 years
Welcome all to Data Innovation Summit 2019 #datasweden #datascience #ml #ai #datamanagement #dataenginnering
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@amitstwt_
Amit Kushwaha
7 months
Difference between Data Engineering & DevOps Engineering. How it is related to System Design? #devops #dataenginnering #systemdesign #devopsrequirements
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@asthajain22
Astha Jain (MrsDeeva)
8 years
@Strategy_Gal
Lillian 🚀 Fractional CMO for tech startups
8 years
Big Data Analytics in Smart Cities: You Can’t Have One Without the Other - See how #bigdata is being applied
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@analytics8
Analytics8 | Data & Analytics Consultancy
3 years
Join our #event tomorrow to learn how dbt has helped our clients remove #dataenginnering bottlenecks! Link to register: https://t.co/1Hc5uWzaly
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@IwunzeIkenna
IK | data analyst
7 days
Day 3: Python Started a course on python that was created by @AnshLambaJSR. Today was about learning; I. The print() command and the various way it can be used ii. Variables(which are like containers which holds value) iii. Adding comments to your code #dataenginnering #Python
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@AnandSRao
AnandSRao
8 years
The Stack That Helped Medium Drive 2.6 Millennia of Reading Time https://t.co/Bkld90Gf9f #DataEnginnering
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@DataEngineerX
Nikhil
10 months
Gave another interview today at a consultancy firm. Was able to answer SQL queries, project questions. But chocked on the Airflow architecture questions. And went completely blank on writing basic script to read data from API. 😭😭 #jobhunt #dataenginnering
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@djkram
Marc Planagumà i Valls 🗳️
7 years
Sóc Enginyer de Telecomunicacions i després d'anys de recerca #BigData en diferents centres de recerca com @TelefonicaCAT, @BDigital i @BerlinBDC he sigut cap de #DataEnginnering a @Eurecat_news, @Zurich i ara @LIDL #PrimàriesMataró #CanviemElGuió
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@100daysstartup
First 100 days of a Startup
6 years
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@darsh_shukla
Darsh
1 year
While Ed-Fi is amazing for analytics, thinking of it solely as an 𝘢𝘯𝘢𝘭𝘺𝘵𝘪𝘤𝘴 𝘥𝘢𝘵𝘢 𝘴𝘺𝘴𝘵𝘦𝘮 can be a missed opportunity. An Ed-Fi ODS excels at storing and integrating data, but it's not optimized for complex analytics. #K12Analytics #K12Schools #DataEnginnering
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@edensmithltd
Eden Smith
3 years
When it comes to #DataEnginnering we have some seriously talented individuals in our network who may be just what you're looking for! #DataTransformation starts within but needs great leaders. Want to know more, get in touch with Jane Smith #datateams #businessstrategy #hr
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@anishpadin
anish padinjaroote
3 years
'AI aspirants should focus on solving problems. While #AI can be powerful, problem-solving needs other tools too'. -Rajat Monga #careerdevelopment #upskilling #innovation #imagination #aiforall #analytics #dataenginnering #data #datamarts #datascience
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@ChrisBergh
Chris Bergh
5 years
@ITRevBooks
IT Revolution
5 years
“Looking around, she realizes that now some of the best engineers in the company are working on making everyone else more productive. That’s the way it should be, she thinks.” Ch11 #UnicornProjectReadAlong
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@kusuwada
kusuwada
5 years
データは以下の3つのレイヤに分けるのが良い。 ・データレイク: 来たままの元データ ・データウェアハウス: 複数のデータを統合し、分析向けに加工 ・データマート: 特定の利用者向けにしっかり分離 DataEnginneringの基本だ!とってもわかりやすい。 #DataEngineeringStudy
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@jmcastagnetto
Jesus M. Castagnetto 🇵🇪
3 years
A post on why #vim (and #neovim) are useful for #data mangling #DataEnginnering https://t.co/x4Vecmg9Vw
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