fbpx Skip to content

Remodel Your Oracle Cloud Data with a Data Lakehouse

insightsoftware -
November 21, 2023

insightsoftware is a global provider of reporting, analytics, and performance management solutions, empowering organizations to unlock business data and transform the way finance and data teams operate.

23 11 Blog Remodelyouroracleclouddata Website

Continued global digitalization is creating huge quantities of data for modern organizations. To have any hope of generating value from growing data sets, enterprise organizations must turn to the latest technology. You’ve heard of data warehouses, and probable data lakes, but now, the data lakehouse is emerging as the new corporate buzzword. But what is a data lakehouse and how can you make the most of it to transform your Oracle Cloud data for advanced reporting and analytics?

Where It All Started

Data warehouses are designed to improve decision-making across organizations and reduce inconsistencies across departments. In the early days of data warehousing technology, data warehouses were built around a single database. At the time, that was enough. Since then, technology has improved in leaps and bounds and data management has become more complicated.

As a response to emerging technology, data lakes took off along with the rise of big data. Data lakes make storing and harnessing large volumes of information easier and more efficient while reducing overall data storage costs. Combine these factors with data lakes’ cloud advantages and you have an ideal solution for achieving real-time or near-real-time reporting across large data sets.

However, many businesses still struggled with data lakes due to the unstructured nature of the data within. An abundance of technical expertise or the right tools and processes were needed to take advantage of their power.

Refresh Your Oracle Reporting Landscape with a New Data Sharing Solution

Download Now

Introducing the Data Lakehouse

As technology continues to evolve, enterprise organizations look to find more affordable and scalable technology to manage big data. To address this, the data lakehouse was born.

A data lakehouse combines the capabilities of data warehouses and data lakes. It enables new advancements in technology such as machine learning and business intelligence.

Emerging as a hybrid concept, a data lakehouse is always cloud-based, has close links to state-of-the-art BI toolsets, and is an amalgamation of technological capabilities such as the combination of structured and unstructured data stores. Data lakehouses leverage low-cost storage options underneath structured, more conventional databases.

Overall, the biggest impact of data lakehouses is driving down the cost of storage and the ability it gives you to process more data.

Data Lakehouse Diagram
Source: Qlik

The Grass Isn’t Greener at the Lakehouse

However it’s not all roses and sunshine, data lakehouses take significant time to implement and effort to maintain and extend. As idyllic as a data lakehouse sounds, in the real world, it would look like a complex mess of pipes.

In the past 15 years, data warehouses, lakes, and lakehouses haven’t changed much. Challenges organizations faced back then are still daunting now, only with richer, more complex data sources.

Other challenges include:

  • Disconnected data silos
  • Slow loading
  • Difficult data preparation process
  • Lack of automation
  • Lack of strategy and governance

This leads to a gap between business needs and business outcomes, while miring your IT and Finance teams in technical complications. Even with the advantages of the data lakehouse, it doesn’t come with the insight organizations need to make important decisions.

Remodel Your Data Lakehouse with Angles for Oracle

Angles for Oracle provides a comprehensive solution for Oracle EBS and Oracle Cloud applications. Angles for Oracle provides a semantic model that makes it easy to build reports and analytics, helping you make the most of your data lakehouse by:

  • Extracting data from the cloud or your Oracle database
  • Configuring your change data capture
  • Scheduling your data pools to your specs
  • Creating structure in the target warehouse
  • Replicating the raw data into data structures
  • Keeping those structures up to date
  • Completing your set of relationships and hierarchies for report-building and best-in-class BI tool integration

Designed to be plug and play, Angles for Oracle extracts data from the cloud or your Oracle database. It delivers a context-aware, process-rich business data model, with a library of business reports for Oracle EBS and OCA. Angles for Oracle does the heavy lifting in your data lakehouse to provide valuable analytics. As a best-of-breed technology, the solution makes it easy to report on vital financial, supply chain, and operational data.

Ready to learn more? Check out our recent webinar, Fast Track Your Oracle Cloud Data into a Data Lakehouse.

23 09 Wbn Replicatetoreport Website

Fast Track Your Oracle Cloud Data into a Data Lakehouse

Watch Now