We Make
Your Data
Consumable

Navigating Growth Together

Be a partner with us for your success.

Our success lies in yours.

Welcome to Core Solns Inc, where innovation meets data excellence.

As a leading data engineering company, we specialize in harnessing the immense potential of Big Data, Data Warehousing, MPP Databases, Data Lakes, Cloud Computing, Analytics, and Business Intelligence to empower businesses for success in the modern AI digital age.

Furthermore, We stitch data. No matter the Source or Target, Batch, Streaming, near real-time all in different file formats.

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services

Work With Us

 Design Teams, Build Futures, Navigate Growth Together 

HR Advisory

We excel in HR Advisory, offering expertise in strategic planning, organisational design, talent management, performance, employee engagement, culture and brand.
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People and Change

Our Centre of Excellence. Our embedded structure ensures alignment across people, process and technology for businesses scaling or transforming. We help leaders adopt agile approaches to talent management, designing skillsets and workforces for the future. 
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Executive Search

From Savvy Chiefs to brilliant minds to imaginative maestros, we’ll connect you with talent who will effortlessly mesh with your companies’ vibe and culture. Our network is complete with Executives who have done this before, and achieved incredible results for their shareholders.
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Specialist Talent

We build outstanding project teams, handpicking top talent for crucial projects with crucial deadlines. The Core Solns ecosystem can produce your A team of Product and Project Managers, Analysts and Developers at the top of their game. 
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Project Solutions

A tailored, growth focused HR solution for rapid-scaling businesses. Our team of consultants work with you to design your people processes and systems. We offer onsite and offsite engagement models for start-ups, scale-ups and businesses seeking expansion into new markets.
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why

Why Core Solns?

Next level growth
The future of data warehousing: Data Lake and Data Warehouse Convergence: The traditional distinction between data lakes (for unstructured data) and data warehouses (for structured data) is blurring. Modern data warehouses like Snowflake and Google BigQuery now integrate streaming data capabilities, while platforms like Databricks offer ACID properties via delta tables and a new Unity Catalog. The result? A convergence toward a “data lakehouse,” combining the best of both worlds for comprehensive business intelligence within organizations. Easier Real-Time Data Streaming: As data needs evolve, real-time data freshness and low latency become critical. Solutions like Confluent with Databricks simplify building real-time streaming pipelines. Their Databricks SQL claims up to 12x better price-performance than traditional data warehouses. Snowflake’s Dynamic Tables and Snowpipe Streaming also streamline managing batch and streaming data. Zero-Copy Data Sharing: Snowflake’s zero-copy cloning feature is gaining traction. Organizations can now share read-only database objects without transferring actual data. This reduces risks, costs, and headaches associated with traditional sharing methods. The separation of storage and compute allows efficient data querying while keeping data within the provider’s account. Zero ETL: The future may see a move away from traditional Extract, Transform, Load (ETL) processes. Technologies like data virtualization and ELT (Extract, Load, Transform) pipelines are gaining prominence, allowing data to be transformed closer to its destination1. Integration of ML Models and AI Capabilities: Data warehouses are becoming smarter. Integration of machine learning (ML) models and AI capabilities directly within the warehouse enables advanced analytics. Organizations can derive insights, predictions, and recommendations from their data without moving it elsewhere1. Faster Issue Identification and Resolution: With improved monitoring and diagnostic tools, data issues can be detected and resolved more swiftly. Proactive monitoring, automated alerts, and intelligent anomaly detection contribute to maintaining data quality and reliability1. In summary, the future of data warehousing is bright and rapidly evolving. Organizations should embrace these trends to stay ahead in the data-driven landscape
The future of data warehousing: Data Lake and Data Warehouse Convergence: The traditional distinction between data lakes (for unstructured data) and data warehouses (for structured data) is blurring. Modern data warehouses like Snowflake and Google BigQuery now integrate streaming data capabilities, while platforms like Databricks offer ACID properties via delta tables and a new Unity Catalog. The result? A convergence toward a “data lakehouse,” combining the best of both worlds for comprehensive business intelligence within organizations. Easier Real-Time Data Streaming: As data needs evolve, real-time data freshness and low latency become critical. Solutions like Confluent with Databricks simplify building real-time streaming pipelines. Their Databricks SQL claims up to 12x better price-performance than traditional data warehouses. Snowflake’s Dynamic Tables and Snowpipe Streaming also streamline managing batch and streaming data. Zero-Copy Data Sharing: Snowflake’s zero-copy cloning feature is gaining traction. Organizations can now share read-only database objects without transferring actual data. This reduces risks, costs, and headaches associated with traditional sharing methods. The separation of storage and compute allows efficient data querying while keeping data within the provider’s account. Zero ETL: The future may see a move away from traditional Extract, Transform, Load (ETL) processes. Technologies like data virtualization and ELT (Extract, Load, Transform) pipelines are gaining prominence, allowing data to be transformed closer to its destination1. Integration of ML Models and AI Capabilities: Data warehouses are becoming smarter. Integration of machine learning (ML) models and AI capabilities directly within the warehouse enables advanced analytics. Organizations can derive insights, predictions, and recommendations from their data without moving it elsewhere1. Faster Issue Identification and Resolution: With improved monitoring and diagnostic tools, data issues can be detected and resolved more swiftly. Proactive monitoring, automated alerts, and intelligent anomaly detection contribute to maintaining data quality and reliability1. In summary, the future of data warehousing is bright and rapidly evolving. Organizations should embrace these trends to stay ahead in the data-driven landscape

why

Why Core Solns

Next level growth
Let’s explore some of the exciting new trends and innovations shaping the future of data warehousing:
1. Data Lake and Data Warehouse Convergence

2. Easier Real-Time Data Streaming

3. Zero-Copy Data Sharing:

4. Zero ETL

In summary, the future of data warehousing is bright and rapidly evolving. Organizations should embrace these trends to stay ahead in the data-driven landscape!

Why choose us?

For over two decades, we have worked exclusively with US Companies and innovation-driven technology businesses at all levels of maturity and complexity to build structure, brand and high-value teams.

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15 + Years Delivering Leaders to Innovation Driven Businesses
Strategic Planning for Specialised Workforces
Talent Solutions for
Fast Growth

Compliance and
Risk Management

Global Reach for
Talent Acquisition

Extensive Knowledge of the Digital Technology Industry

USA

India

Services

Contact Us

raj.victor@coresolns.com

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