#datamesharchitecture kết quả tìm kiếm

Dear Data Analyst/Scientist. Read these books and you'll be miles ahead in your Data journey. To get it: 1. Follow me (so I can DM you) 2. Like and retweet 3. Reply with "Data"

Ashafind's tweet image. Dear Data Analyst/Scientist.

Read these books and you'll be miles ahead in your Data journey.

To get it:  

1. Follow me (so I can DM you) 
2. Like and retweet 
3. Reply with "Data"
Ashafind's tweet image. Dear Data Analyst/Scientist.

Read these books and you'll be miles ahead in your Data journey.

To get it:  

1. Follow me (so I can DM you) 
2. Like and retweet 
3. Reply with "Data"
Ashafind's tweet image. Dear Data Analyst/Scientist.

Read these books and you'll be miles ahead in your Data journey.

To get it:  

1. Follow me (so I can DM you) 
2. Like and retweet 
3. Reply with "Data"
Ashafind's tweet image. Dear Data Analyst/Scientist.

Read these books and you'll be miles ahead in your Data journey.

To get it:  

1. Follow me (so I can DM you) 
2. Like and retweet 
3. Reply with "Data"

Data Structure Complete Notes Handwritten 📙📘 24 Hours ⏳⏰ only To get it: 1. Follow @codewithimanshu (so I can DM) 2. Like & retweet 3. Reply "Send" 🧲 #Datastructures

codewithimanshu's tweet image. Data Structure Complete Notes Handwritten 📙📘

24 Hours ⏳⏰ only

To get it:
1. Follow @codewithimanshu  (so I can DM)
2. Like & retweet
3. Reply "Send"  🧲

#Datastructures

This week in my data engineering journey, I finally understood how data moves... from simple transactions to powerful business insights. Let’s talk about RDBMS, Data Warehouses, Data Lakes, and NoSQL 🧵

kingsamgad's tweet image. This week in my data engineering journey, I finally understood how data moves...
from simple transactions to powerful business insights.

Let’s talk about RDBMS, Data Warehouses, Data Lakes, and NoSQL 🧵

Data Science Roles & How They Interact 📊 🌐 Data Engineer: Core Skills: ETL, Data Warehousing, Hadoop/Spark, Coding (Java/Scala), Database Management Collaborates with Analysts and Stakeholders. 💡 🧩 Data Analyst: Core Skills: Analysis, Programming (Python/R), Comment, Cv

priyakashyp2502's tweet image. Data Science Roles & How They Interact 📊

🌐 Data Engineer:

Core Skills: ETL, Data Warehousing, Hadoop/Spark, Coding (Java/Scala), Database Management

Collaborates with Analysts and Stakeholders. 💡

🧩 Data Analyst:

Core Skills: Analysis, Programming (Python/R),
Comment, Cv

Data Structure Complete Notes Handwritten 📙📘 24 Hours ⏳⏰ only To get it: 1. Follow @codewithimanshu (so I can DM) 2. Like & retweet 3. Reply "Send" 🧲 #Datastructures

codewithimanshu's tweet image. Data Structure Complete Notes Handwritten 📙📘

24 Hours ⏳⏰ only

To get it:
1. Follow  @codewithimanshu (so I can DM)
2. Like & retweet
3. Reply "Send"  🧲

#Datastructures

Cloud-based data warehouses are a vital enabler for the move of data science and analytics into the cloud. Companies shifting towards the cloud must consider these trends. Source @techmenttech Link bit.ly/36Qkkk3 rt @antgrasso #CloudComputing #DataWarehouse #DataScience

Dare2Digitize's tweet image. Cloud-based data warehouses are a vital enabler for the move of data science and analytics into the cloud. Companies shifting towards the cloud must consider these trends.

Source @techmenttech Link bit.ly/36Qkkk3 rt @antgrasso #CloudComputing #DataWarehouse #DataScience

Every data engineer knows SQL & Spark. The ones who crack ₹50 LPA+ interviews? They master data models + architecture too. Data Engineering rounds are divided into multiple steps Simple -> Coding round (dsa/sql) -> Data Model -> Your resume/projects/data architecture ->…

parmardarshil07's tweet image. Every data engineer knows SQL & Spark. 

The ones who crack ₹50 LPA+ interviews? They master data models + architecture too.

Data Engineering rounds are divided into multiple steps

Simple
-> Coding round (dsa/sql)
-> Data Model
-> Your resume/projects/data architecture
->…

How I'd Learn System Design Fundamentals (If I Had To Start Over): 📌 𝐊𝐞𝐲 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬: - Scalability - Availability - CAP Theorem - ACID Transactions - Consistent Hashing - Rate Limiting - API Design - Fault Tolerance - Consensus Algorithms - Gossip Protocol - Service…

ashishps_1's tweet image. How I'd Learn System Design Fundamentals (If I Had To Start Over):

📌 𝐊𝐞𝐲 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬:
- Scalability
- Availability
- CAP Theorem
- ACID Transactions
- Consistent Hashing
- Rate Limiting
- API Design
- Fault Tolerance
- Consensus Algorithms
- Gossip Protocol
- Service…

You asked for it. We built it. A library of architectural diagrams that show practical ways to build pipelines, dashboards, and AI models. Find designs for common data and AI builds across use cases and industries, including: - Data Ingestion - AI Security Framework - Next Best…

databricks's tweet image. You asked for it. We built it. A library of architectural diagrams that show practical ways to build pipelines, dashboards, and AI models.

Find designs for common data and AI builds across use cases and industries, including:
- Data Ingestion
- AI Security Framework
- Next Best…

🚀 Is your data warehouse slowing down dashboards & decisions? Before rebuilding, try targeted optimization. 👉 9 key strategies to cut costs & boost speed: schema, ETL, queries, compute & more. Read the guide ➡️ bit.ly/4qzcFdS #DataWarehouse #DataEngineering

AegisSoftTech's tweet image. 🚀 Is your data warehouse slowing down dashboards & decisions?

Before rebuilding, try targeted optimization.

👉 9 key strategies to cut costs & boost speed: schema, ETL, queries, compute & more.

Read the guide ➡️ bit.ly/4qzcFdS

#DataWarehouse #DataEngineering

Day 2 : Deeper into Data Engineering Started building the bigger picture today. Here’s what I covered: 𝗦𝗹𝗼𝘄𝗹𝘆 𝗖𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝗗𝗶𝗺𝗲𝗻𝘀𝗶𝗼𝗻𝘀 (𝗦𝗖𝗗) This clicked hard. How do you track changes in dimension data over time? → Type 0: Never changes (birthdate) →…

iam_daniiell's tweet image. Day 2 : Deeper into Data Engineering

Started building the bigger picture today. 
Here’s what I covered:
𝗦𝗹𝗼𝘄𝗹𝘆 𝗖𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝗗𝗶𝗺𝗲𝗻𝘀𝗶𝗼𝗻𝘀 (𝗦𝗖𝗗)
This clicked hard. How do you track changes in dimension data over time?
→ Type 0: Never changes (birthdate)
→…
iam_daniiell's tweet image. Day 2 : Deeper into Data Engineering

Started building the bigger picture today. 
Here’s what I covered:
𝗦𝗹𝗼𝘄𝗹𝘆 𝗖𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝗗𝗶𝗺𝗲𝗻𝘀𝗶𝗼𝗻𝘀 (𝗦𝗖𝗗)
This clicked hard. How do you track changes in dimension data over time?
→ Type 0: Never changes (birthdate)
→…

I’m learning Data Engineering in public for the next months Day 1 is done. 𝗪𝗵𝘆 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴? I’ve been a data analyst for 2+ years. I’m good at my job. But I keep hitting walls. I analyze data that’s already clean. I want to build the pipelines that make…

iam_daniiell's tweet image. I’m learning Data Engineering in public for the next months

Day 1 is done.

𝗪𝗵𝘆 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴?
I’ve been a data analyst for 2+ years. I’m good at my job. But I keep hitting walls.

I analyze data that’s already clean. I want to build the pipelines that make…
iam_daniiell's tweet image. I’m learning Data Engineering in public for the next months

Day 1 is done.

𝗪𝗵𝘆 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴?
I’ve been a data analyst for 2+ years. I’m good at my job. But I keep hitting walls.

I analyze data that’s already clean. I want to build the pipelines that make…


an excellent coverage of the fundamentals of the architecture of a database system including process models, parallel architecture, storage system design, transaction system implementation, query processor and optimizer architectures .. (via @wangbin579) link: 👇

debasishg's tweet image. an excellent coverage of the fundamentals of the architecture of a database system including process models, parallel architecture, storage system design, transaction system implementation, query processor and optimizer architectures .. (via @wangbin579)

link: 👇

💥 Here is an amazing cheatsheet for data structures! Source: Brij Kishore Pandey #datastructures #datascience #cheatsheet

DataScienceDojo's tweet image. 💥 Here is an amazing cheatsheet for data structures!
Source: Brij Kishore Pandey 

#datastructures #datascience #cheatsheet

An architectural discussion of the design of database systems including process models, parallel architecture, query processors, storage engine design, transaction system.

abhi9u's tweet image. An architectural discussion of the design of database systems including process models, parallel architecture, query processors, storage engine design, transaction system.

Cloud-based data warehouses are a vital enabler for the move of data science and analytics into the cloud. Companies shifting towards the cloud must consider these trends. Source @techmenttech Link bit.ly/36Qkkk3 rt @antgrasso #CloudComputing #DataWarehouse #DataScience

CoffeTechnology's tweet image. Cloud-based data warehouses are a vital enabler for the move of data science and analytics into the cloud. Companies shifting towards the cloud must consider these trends.

Source @techmenttech Link bit.ly/36Qkkk3 rt @antgrasso #CloudComputing #DataWarehouse #DataScience

🧩 @irys_xyz Datachain 主网加载中,这是区块链世界的又一场底层跃迁 今天偶遇一位做算力节点的老朋友,他一边抱怨机器噪音太大,一边跟我聊到最近在测试 Datachain…


Data Engineering Roadmap for Beginners (2025) > Language → Python + SQL. > OS Basics → Linux + Bash + Git. > Data Modeling → Normalization + Star/Snowflake Schema. > Databases → PostgreSQL + MySQL + MongoDB. > Data Warehousing → Snowflake + BigQuery + Redshift. > Data…


A detailed, hand-drawn visualization of many data structures and algorithms (DSA) in the "basecs" series by Vaidehi Joshi is fantastic! medium.com/basecs/all?top…

vivekgalatage's tweet image. A detailed, hand-drawn visualization of many data structures and algorithms (DSA) in the "basecs" series by Vaidehi Joshi is fantastic!

medium.com/basecs/all?top…

While learning various algorithms, the visualization plays a significant role in grasping the concepts easily. The algorithm-visualizer.org is an excellent resource with amazing collections of algorithms.



From dashboards to decisions 🚀 Dashboards ≠ decisions. Leaders want: ⚡ fast takeaways, 🔍 clear drivers 📑 structured reports. The answer → Agent architecture 🤖 Explore how this works in practice at ada.im/?ada_data_=&ut…

ada_dataanalyst's tweet image. From dashboards to decisions 🚀   
 
Dashboards ≠ decisions. 
Leaders want: 
⚡ fast takeaways,
🔍 clear drivers
📑 structured reports. 

The answer → Agent architecture 🤖

Explore how this works in practice at 
ada.im/?ada_data_=&ut…
ada_dataanalyst's tweet image. From dashboards to decisions 🚀   
 
Dashboards ≠ decisions. 
Leaders want: 
⚡ fast takeaways,
🔍 clear drivers
📑 structured reports. 

The answer → Agent architecture 🤖

Explore how this works in practice at 
ada.im/?ada_data_=&ut…
ada_dataanalyst's tweet image. From dashboards to decisions 🚀   
 
Dashboards ≠ decisions. 
Leaders want: 
⚡ fast takeaways,
🔍 clear drivers
📑 structured reports. 

The answer → Agent architecture 🤖

Explore how this works in practice at 
ada.im/?ada_data_=&ut…

Data is everyone’s problem, until it’s no one’s job. When no one owns the outcome, you get delays and blame. Domain ownership fixes that; with the right tools. . #DomainOwnership #DataMeshArchitecture #DataStrategy #Intellicy


Hear how @immuta and @awscloud enable data mesh architectures – even in the most complex and regulated data ecosystems. Watch the full recording here: immuta.com/events/mission… #datamesh #datamesharchitecture #clouddata #datagovernance


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