The data lake allows organizations to innovate with data in a safe and properly governed way. 3 Figure 1 shows the ringed architecture of the data lake. The data lake repositories running on the data platforms are surrounded and protected by the data lake services that are underpinned by the information management and governance fabric. The Enterprise Big Data Lake_ Delivering the Promise of Big Data and Data Science - Alex Gorelik (O'Reilly Media;2019;9781491931554;eng)_chocr.html.gz download 4.7M Understanding big data-Analytics for enterprise class hadoop and streaming data_chocr.html.gz download Its unique enterprise technology - Adform FLOW - harnesses superior user experience and a scalable, modular and open architecture, to enable seamless management of the whole campaign lifecycle. It provides clients with enhanced control and transparency across their advertising operations, including ownership of all data from their campaigns. The data lake and the enterprise data warehouse must both do what they do best and work together as components of a logical data warehouse. At most companies, the enterprise data warehouse was created to consolidate information allows big data to be distilled into a form that is loaded into a da ta warehouse for wider use. An enterprise data lake provides the following core benefits to an enterprise: Big Data Hadoop Solutions, Q1 2014 from Forrester Research. A Modern Data Architecture with Apache Hadoop The Journey to a Data Lake ©2014 Hortonworks hortonworks.com 3 Find out more about these 7 | UNLOCK VALUE FROM BIOPHARMA ENTERPRISE DATA LAKES • Data enriched in ways not possible in source systems • Cleansing and normalizing metadata • Enabling identification of similar data across different sources, despite some differences in the data between one source and the others, or even within the same source • Tagging and classifying semi-structured or unstructured data It draws on best practices from the world's leading big data companies and enterprises, with essays and success stories from hands-on practitioners and industry experts to provide a comprehensive guide to architecting and deploying a successful big data lake. Canonical is building a comprehensive automation suite to deliver a multi-cloud and on-premise data solution for the enterprise, which spans the full range of data stores and data technologies from big data, with Hadoop and Spark, through NoSQL and cache-layer capabilities like Redis and Mongo and Scylla, all the way to structured SQL engines. The big data technology proposed in this paper is based on cloud platform services, while artificial intelligence based on neural network is embedded in the cloud platform for enterprise business 3 PwC Technology Forecast The enterprise data lake: Better integration and deeper analytics Issue overview: Integration fabric The data lake topic is the first of three topics as part of the integration fabric research covered in this issue of the PwC Technology Forecast. The integration fabric is a central component for PwC's New IT Platform.* The Business Data Lake changes the way IT looks at information in a traditional EDW approach. It embraces the following new principles: 1. Land all the information you can as is with no modification 2. Encourage LOB to create point solutions 3. Let LOB decide on the cost/performance for their problem 4. EDWs versus the value they provide. The Pivotal Business Data Lake