Pinned Tweet
We are extremely good at executing sets of hundreds or thousands of Test Cases that are known to be very labour intensive for internal QA teams.#ExtremTesting #ExtremeQA #ExtremeQualityAssurance #ExtremeQuality #TechUnity
0
0
0
188
TechUnity, Inc. retweeted
๐Ÿ—„๏ธ SQL Essential Commands Every Developer Should Know!

SQL is the language that powers data. Whether you're building websites, mobile apps, or enterprise systems, these commands form the foundation of database management.

โœ… SELECT โ†’ Retrieve data
โœ… INSERT โ†’ Add new records
ing data
โœ… DELETE โ†’ Remove records
โœ… WHERE โ†’ Filter results
โœ… ORDER BY โ†’ Sort data
โœ… GROUP BY โ†’ Aggregate data
โœ… JOIN โ†’ Combine multiple tables

Master these essentials, and you'll be able to work confidently with almost any relational database. ๐Ÿš€

#SQL #Database #WebDevelopment #Programming
4
53
217
14,990
TechUnity, Inc. retweeted
AI accelerates business ๐Ÿ‘‡

But without governance and security,
it multiplies risk.

โ€ข Shadow AI
โ€ข Data exposure
โ€ข Compliance gaps
โ€ข AI-generated threats

๐Ÿš€ AI + Security + Governance = competitive advantage

Via Giuliano Liguori (@ingliguori)

#AI #CyberSecurity #Innovation
2
4
13
1,559
TechUnity, Inc. retweeted
30 AI Algorithms
4
92
398
12,546
TechUnity, Inc. retweeted
1
11
27
1,177
TechUnity, Inc. retweeted
Data Engineering becomes easier when you stop learning tools randomly.

SQL.
Python.
Spark.
Airflow.
Snowflake.
Kafka.
Cloud.

All of them matter.

But they only make sense when you understand the system behind them.

A real data engineering roadmap is built in layers.
๐˜€
SQL, Python, Bash, Git, APIs, and data structures.

๐——๐—ฎ๐˜๐—ฎ๐—ฏ๐—ฎ๐˜€๐—ฒ๐˜€
PostgreSQL, MySQL, MongoDB, Cassandra, data modeling, and query optimization.

๐——๐—ฎ๐˜๐—ฎ ๐—ช๐—ฎ๐—ฟ๐—ฒ๐—ต๐—ผ๐˜‚๐˜€๐—ถ๐—ป๐—ด
Snowflake, BigQuery, Redshift, star schema, snowflake schema, and OLAP systems.

๐——๐—ฎ๐˜๐—ฎ ๐—ฃ๐—ถ๐—ฝ๐—ฒ๐—น๐—ถ๐—ป๐—ฒ๐˜€
ETL, ELT, Airflow, Dagster, Prefect, and workflow orchestration.

๐—•๐—ถ๐—ด ๐——๐—ฎ๐˜๐—ฎ
Hadoop, Spark, Databricks, Hive, distributed storage, and parallel processing.

๐—ฆ๐˜๐—ฟ๐—ฒ๐—ฎ๐—บ๐—ถ๐—ป๐—ด ๐—ฆ๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€
Kafka, Flink, Spark Streaming, event-driven architecture, CDC, and real-time analytics.

๐——๐—ฎ๐˜๐—ฎ ๐—ค๐˜‚๐—ฎ๐—น๐—ถ๐˜๐˜†
Validation, deduplication, lineage, Great Expectations, monitoring, and alerting.

๐—–๐—น๐—ผ๐˜‚๐—ฑ ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐˜๐—ฎ๐—ฐ๐—ธ
AWS, Azure, GCP, S3, lakehouse architecture, and data lakes.

๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—Ÿ๐—ฎ๐˜†๐—ฒ๐—ฟ
Power BI, Tableau, Looker, dbt, metrics layer, and business intelligence.

๐—™๐˜‚๐˜๐˜‚๐—ฟ๐—ฒ ๐—ผ๐—ณ ๐——๐—ฎ๐˜๐—ฎ
Data Mesh, AI-native pipelines, vector databases, real-time AI analytics, and autonomous data platforms.

The goal is not to memorize every tool.

The goal is to understand how data moves from source to insight.

Learn the tools.

Understand the systems.

Build the pipelines.

Own the impact.

Save this master tree if you are building your data engineering roadmap.
6
50
203
7,084
TechUnity, Inc. retweeted
Layers of AI
4
59
335
9,924