Data Lake

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With the appearance of cloud object storage services like AWS S3 or Azure ADLS, the data lake has seen an upturn in usage as some of the challenges of the original idea were addressed. However, companies across the globe still find it challenging to adopt data lakes into the corporate data ecosystem. While almost infinite in storage, data retrieval from these sources and integration of the data with the corporate ecosystem is still an arduous task for data engineers. This leads to data lakes becoming either a silo or a secondary form of storage instead of feeding business processes and...

Traditional Data Management approaches that rely on collecting data within a centralized data store, such as a cloud data warehouse or data lake, are core building blocks for your data modernization efforts. However, you need more to address the diverse needs of today's businesses. Hybrid/Multi-cloud, SaaS, and data privacy laws are just a few examples of why data will remain distributed.In this session, Paul Moxon, SVP Data Architecture and Chief Evangelist with Denodo, will discuss why you need to complement these centralized solutions with a logical data management platform that...

Data lakes have been both praised and loathed. They can be incredibly useful to an organization, but it can also be the source of major headaches. Its ease to scale storage with minimal cost has opened the door to many new solutions, but also to a proliferation of runaway objects that have coined the term data swamp.However, the addition of an MPP engine, based on Presto, to Denodo’s logical layer can change the way you think about the role of the data lake in your overall data strategy.Watch on-demand this session to learn:The new MPP capabilities that Denodo includesHow to use them to your...

Data lakes have been both praised and loathed. They can be incredibly useful to an organization, but it can also be the source of major headaches. Its ease to scale storage with minimal cost has opened the door to many new solutions, but also to a proliferation of runaway objects that have coined the term data swamp. However, the addition of an MPP engine, based on Presto, to Denodo’s logical layer can change the way you think about the role of the data lake in your overall data strategy.Attend this session to learn:The new MPP capabilities that Denodo includesHow to use them to your...

Data lakes have been both praised and loathed. They can be incredibly useful to an organization, but it can also be the source of major headaches. Its ease to scale storage with minimal cost has opened the door to many new solutions, but also to a proliferation of runaway objects that have coined the term data swamp.However, the addition of an MPP engine, based on Presto, to Denodo’s logical layer can change the way you think about the role of the data lake in your overall data strategy.Watch on-demand this session to learn:The new MPP capabilities that Denodo includesHow to use them to your...

Modern data and analytics requires empowerment of business users who possess domain knowledge and are best suited to have decentralized data ownership. But the current data landscape, which has a heavy dependency on data warehouse, is limited in terms of flexibility, extensibility and comprehensibility.In this session, we will reflect on the findings from the recent BARC report “The Future of Data Architecture - Has the data warehouse had its day?” with one of its authors, Jacqueline Bloemen, Senior Analyst at BARC. Jacqueline will provide us with insights pulled from the global survey...

Podcast Guest: Robin Tandon, Director of Product Marketing (EMEA & LATAM) at Denodo

Ultra Mobile’s mission is to connect the world by offering international voice communication of the best quality for the lowest possible cost. The company was going through a tremendous growth phase. However, the rapid growth put a strain on Ultra Mobile’s BI infrastructure, hindering the company’s ability to answer basic questions about the health of the business and how best to retain customers.Ultra Mobile needed to de-mitigate risk for unmanaged changes like data gaps between different departments and managed changes like difficulty integrating data documentation for each project. There...

Presented at Aus Government Data Summit 2022In the public sector, wider sets of disparate data holds the key to improving public digital services. Trusting dispersed data and how it is used is high on the list of public requirements, alongside transparency and protection of personal data.For better access, trust and control, an innovative data management framework is required. Single data warehousing or data lakes are not practical. An architecture that integrates seamlessly both traditional and modern data systems, simplifies data complexity, provides unified data governance and enforces...