93.0K
ARWhat are the big data use cases you have tried?
Comment below 👇
#bigdata #bigdataanalytics #bigdatatechnologies #bigdataanalysis #trendingreels
@aruns_code
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#Bigdata Analytics
Смотрите 623K Reels видео о Bigdata Analytics от людей со всего мира.
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_SMeet Coverage Responsibility, a new stat from @nextgenstats 🏈
With tracking chips in every player’s shoulder pads, the NFL can now finally quantify one of the toughest positions to measure, defensive backs.
And it all started as an idea in the NFL Big Data Bowl, the league’s annual analytics competition.
@amazonwebservices
@_sportsball
206.2K
EXBig Data is everywhere, but do you know how to harness its power?
Companies worldwide rely on Big Data Analytics to drive smarter decisions, optimize performance, and stay ahead in the competitive market.
Master the art of handling massive datasets, uncover hidden patterns, and make data-driven strategies that shape the future. With the right skills, you can unlock high-paying career opportunities in tech, finance, healthcare, and more.
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@expertzlab.technologies
106.0K
ASThis is the EXACT order I would learn Data Analytics in 2025.
Hi 😊 my name is Dawn. I’ve been a Data (Business) Analyst at Amazon and a Data Scientist at Meta. And have coached 20+ clients into landing their dream Data jobs in the past year.
1️⃣ Learn SQL
SQL is a must-have skill for every data professional because it’s how you pull data out of databases.
It’s also the easiest coding language to learn — so I’d start here.
Use Interview Master to learn and practice SQL (link in bio):
→ Learn SQL: www.interviewmaster.ai/content/sql
→ Practice SQL: www.interviewmaster.ai/home
2️⃣ Get good at Excel
Yes, Excel is still VERY relevant in 2025. Especially for entry-level and mid-level analyst roles.
You should know:
→ Pivot tables
→ VLOOKUP / XLOOKUP
→ Basic formulas and charts
Most companies still use Excel every day, so this skill goes a long way.
3️⃣ Learn a Data Viz tool (Tableau or Power BI)
Analysts are expected to turn data into insights — and visuals help tell the story.
You don’t need both, just pick one:
→ Tableau = more common in startups
→ Power BI = more common in big companies
Practice building dashboards from scratch and explaining what they mean.
4️⃣ Understand Metric Reporting & Business Sense
Learn how businesses use metrics to make decisions.
Start with:
→ Funnels
→ KPIs
→ Retention
→ Revenue
This is what separates an average analyst from a GREAT one.
#dataanalysis #dataanalyst #datascience #analyticscareers #techjobs #womenintech #sqlskills
@askdatadawn
1.9K
LAHoje no Por Dentro do Código
O pesquisador Vinícius Camargo explicará o que é dimensionalidade dos dados e por que ela é um dos conceitos mais importantes para quem trabalha com modelos de machine learning. 🤖📊
Em termos simples, a dimensionalidade se refere ao número de variáveis ou características usadas para representar um conjunto de dados. Quanto maior o número de dimensões, mais complexa se torna a análise e isso pode afetar diretamente o desempenho e a precisão dos modelos.
Reduzir a dimensionalidade ajuda a melhorar a eficiência e evitar ruídos nas predições, tornando os modelos de machine learning mais rápidos e assertivos, especialmente em aplicações de inteligência artificial na saúde.
Curtiu?
Segue a gente para mais conteúdos sobre IA🔥
#dimensionalidade #machinelearningtools #inteligênciaartificial #bigdataanalytics
@labdaps
7.8K
SEResume : Words then and words now
#Follow us @senseofdata for more updates
#senseofdata #datasense #datanalytics #machinelearning #bigdata #blockchain #artificialintelligence #ai #bigdataanalytics #internet #rnd #iot #modimemes #indiapmmodiji #PM #modi
@senseofdata
533.7K
SRAnother Proud Achievement from SRMIST!🚀
🚀 Congratulations to Anushka (Big Data Analytics, SRMIST) for securing a prestigious internship at IBM!
Her dedication, passion, and consistent efforts in the field of data analytics have led her to this remarkable milestone.
We’re incredibly proud to see our students making their mark at top global companies.
🎥 Want to know how she did it?
Watch her inspiring video as she shares her journey, tips, and strategies to crack top-tier internships in tech and data fields.
Let’s celebrate her success — drop your wishes for Anushka in the comments!
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@srmadmissionsofficial
183
MRTips and Tricks to get hired as a DataEngineer!
#dataengineering #azuredataengineer #azuredatabricks #data #pyspark #dataengineeropenings #azure #bigdataanalytics #azuredataengineering
@mrk_talkstech
24.2K
SHComment “Data” to get roadmap and resources to upskill yourself as a Data Engineer 💯
🔧 Tools & Skills Needed to Become a Data Engineer
✅Programming :
Python, SQL, sometimes Java or Scala (for big data)
✅Databases:
Relational: MySQL, PostgreSQL
NoSQL: MongoDB, Cassandra
✅Data Warehousing
Snowflake, Amazon Redshift, Google BigQuery
✅ETL/ELT Tools
Apache Airflow, DBT, Talend, Informatica
✅Big Data Ecosystem
Hadoop, Spark, Kafka, Hive
✅Cloud Platforms
AWS (S3, Glue, Redshift), Azure (Data Factory, Synapse), GCP (BigQuery, Dataflow)
✅Data Modeling & Orchestration
Star/Snowflake schema, DAGs, Data Lineage tools (e.g., DataHub, Amundsen)
✅DevOps & CI/CD
Git, Docker, Kubernetes, Jenkins
✅Data Quality & Monitoring
✅Power BI, Tableau (helpful for understanding end-use of data)
[Data Engineer, Skills, Microsoft, Roles, Interview Experience, Freshers, Experienced, Faang]
#bigdata #dataengineers #dataengineering #microsoft #google #amazon #careers #tech #data #faang #interview #interviewexperience #skills #viral #trending #life #explorepage #explore #datascience #dataanalytics #bigdataanalytics #cloudtechnology #bangalore #hyderabad
@shailjamishra__
1.3K
CE🚀 Data Science isn’t just a buzzword, it’s your key to the future! 🌐
From decoding insights to predicting trends, mastering data science unlocks endless career opportunities. Ready to shape your future? Let’s dive in! 📊✨
Follow us for daily tips on Data Science & tech careers!
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#DataScience #FutureTech #MachineLearning #AI #Analytics #CareerGoals #TechTrends #BigData #DataScientist #Innovation
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[Data Science, Career Opportunities, Future Technology, Predictive Analytics, Artificial Intelligence, Machine Learning, Data Insights, Tech Careers, Big Data, Professional Growth]
@cedlearn
2.0K
BEStep into the world of data analytics! 📊💻 A day in the life of a Data Analyst— from crunching numbers to uncovering insights that drive big decisions. 🔍🚀
Are you in data analytics, or thinking about joining the field?
#DataAnalytics #DayInTheLife #TechCareer #DataScience #DataAnalyst #WomenInTech #TechJobs #BusinessIntelligence #Python #SQL #Excel #MachineLearning #AI #Analytics #CareerGrowth #WorkLife #OfficeVibes #TechIndustry #careerdevelopment
@beyond_numberz
95.7K
HEComment “link” if you want a direct Link of this Free Course
Want to build a career in Data Analytics without paying ₹₹₹?
This Big Data Analytics course by FutureSkills Prime (a government-certified platform by MeitY & NASSCOM) helps you develop job-ready skills in analytics, cloud, and AI.
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@heenakouser.me
✨ Руководство по #Bigdata Analytics
Instagram содержит 623K публикаций под #Bigdata Analytics, создавая одну из самых ярких визуальных экосистем платформы.
Огромная коллекция #Bigdata Analytics в Instagram представляет самые привлекательные видео сегодня. Контент от @srmadmissionsofficial, @_sportsball and @expertzlab.technologies и других креативных производителей достиг 623K публикаций по всему миру.
Что в тренде в #Bigdata Analytics? Самые просматриваемые видео Reels и вирусный контент представлены выше.
Популярные Категории
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📈 Стратегия хэштегов: Изучите трендовые варианты хэштегов для вашего контента
🌟 Избранные Создатели: @srmadmissionsofficial, @_sportsball, @expertzlab.technologies и другие ведут сообщество
Часто задаваемые вопросы о #Bigdata Analytics
С помощью Pictame вы можете просматривать все видео и реелы #Bigdata Analytics без входа в Instagram. Ваша деятельность остается полностью приватной - без следов, без учетной записи. Просто найдите хэштег и начните исследовать трендовый контент мгновенно.
Анализ Эффективности
Анализ 12 роликов
💡 Лучшие посты получают в среднем 286.3K просмотров (в 2.5x раз выше среднего)
Публикуйте регулярно 3-5 раз/неделю в активные часы
Советы по Созданию Контента и Стратегия
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Исследовать Bigdata Analytics#bigdata#analytic#analyte