Break Down Data Silos with a Data Lakehouse

This solution provides self-service and on-demand workloads for on-prem/co-lo data lakehouses, supporting BI and ML in one place.

In the data‑driven era, you must be able to generate value from all your data capital, from the intelligent edge to core data centers to multiple clouds. But the distributed nature of data can make that complex and costly — setting up barriers to insight and innovation. Traditional data management systems, like data warehouses, have been used for decades to store structured data and make it available for analytics. However, data warehouses aren’t set up to handle the increasing variety of data — text, images, video, Internet of Things (IoT) — nor can they support artificial intelligence (AI) and Machine Learning (ML) algorithms that require direct access to data.

Adding a data lake promised to help solve these issues, by enabling enterprises to capture all types of data — structured, unstructured and semi‑structured — more flexibly and cost‑effectively than traditional data warehouses. Today, many organizations use a data lake in tandem with a data warehouse — storing data in the lake and then copying it to the warehouse to make it more accessible. However, this adds to the complexity and cost of the analytics landscape.

To compete in the digital era, your organization needs new solutions that evolve data management from siloed, rigid, costly and slow to unified systems that enable analytics and AI with speed, scalability and confidence. The new Dell Validated Design for Analytics – Data Lakehouse supports business intelligence (BI), analytics, real‑time data applications, data science and ML in one platform. It provides rapid, direct access to trusted data for data scientists, business analysts and others who need data to drive business value. Consisting of PowerEdge servers, PowerScale and ECS Object Storage, PowerSwitch networking and powered by Apache® Spark® and Kafka® with Delta Lake technologies and Robin Cloud Native Platform, this solution is designed to help you harness more data to transform insights across your organization. 

Create Value from Data

This Data Lakehouse enables self‑service access to reliable, quality data for all users so they can run analytics, AI, ML and other data‑driven workloads to create value from data. With the Data Lakehouse running on‑premises or in a colocation facility, better data quality and control for BI and reporting give you the power to run critical analytics projects with more confidence in the value of the results.

Self‑service and on‑demand tools and frameworks further empower data engineers and data scientists, while interactive query coupled with better data availability facilitates more informed decision‑making. Performance optimizations such as caching, indexing and data compaction increase data access and processing speed  to drive more valuable outcomes. Dell Technologies customers report that they’ve experienced total benefits of $60.8 million over three years and saved hundreds of millions in cost avoidance with fraud detection.

Simplify Your Data Landscape

With the Data Lakehouse, all types of data — structured, semi‑structured and unstructured — can land and stay in your data lake, providing a single source for all enterprise data and eliminating the need for separate systems to serve real‑time data applications. No more chasing, copying or moving data between architectures. Support for atomicity, consistency, isolation and durability (ACID) transactions ensures consistency as multiple users concurrently read and write data. Data Lakehouse further eliminates complexity and guesswork by making all types of data available on‑premises or from a colocation facility. With solutions from Dell Technologies, customers report that they’ve saved up to 12 hours per week with automated reconciliation of data feeds, seen 18–20% faster configuration and integration, and experienced a 25 percent reduction in support required.

Protect and Secure Your Data

The Dell Validated Design for Analytics — Data Lakehouse provides a unified source for structured, semi‑structured and unstructured data, allowing data teams to embed advanced features such as audit logging and access control. They provide a uniform way to manage access control, data quality and compliance across all types of data using standard interfaces similar to those in data warehouses. You can further improve data quality by reducing manual extract, transform, load (ETL) between the data lake and warehouse.

This solution further helps you keep data safe with cyber‑resilient PowerEdge servers that are powered by 3rd Generation Intel® Xeon® Scalable processors¹ with hardware-enhanced security integrated into every step of the server lifecycle. Additionally, the solution protects you from cyberattacks with ransomware defense and smart AirGap isolation integrated in PowerScale. Finally, our Future‑Proof Loyalty Program provides peace of mind and investment protection with Dell Storage and Data Protection offers.

For more information on the new Validated Design for Analytics – Data Lakehouse, please visit our Analytics Solutions page.

1 Intel Corporation©. Intel, the Intel logo and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others

About the Author: Chhandomay Mandal

Dr. Chhandomay Mandal is the Director of Solutions Marketing at Dell Technologies. He leads solutions across artificial intelligence, analytics, business applications, VDI and HPC as well as industry-specific solutions for healthcare, media & entertainment, semiconductors and smart manufacturing. Prior to his current role, he led Dell’s all-flash storage solutions marketing efforts for desktop virtualization, server virtualization and private cloud. Dr. Mandal has been awarded 13 patents. He has a PhD from University of Florida, MBA from Indiana University, and BTech from Indian Institute of Technology.