Data Lake Day 2019

About the Event As data continues to grow in both volume and formats across multiple deployments, performing analytics has become more complicated. By 2019, 75% of analytic solutions will incorporate 10 or more external data sources. Organizations able to glean insights from this diverse data set will have competitive advantages, from deeper understanding of customers, better responsiveness to trends, and more efficient operations, to name just a few.This reality of data diversity has given rise to the “data lake [http://bit.ly/2EZJzQt]”-a data management architecture that allows organizations store and analyze a wide variety structured and unstructured data. A data lake [http://bit.ly/2EZJzQt] is a method of data storage. What makes this approach unique is that all of the data is stored in its native format. This means that data in the lake might include everything from highly structured files to completely unstructured data such as videos, emails and images. In addition, it is not only IT that is now integrating data. Business users are also getting involved with new self-service data preparation tools. The question is, is this the only way to manage data? Is there another level that we can get reach to allow us to more easily manage and govern data across an increasingly complex data landscape? This seminar/Conference looks at the challenges faced by companies trying to deal with an exploding number of data sources, collecting data in multiple data stores (Cloud and on-premises), multiple analytical systems and at the requirements to be able to define, govern, manage and share trusted high quality information in a distributed and hybrid computing environment. It also explores a new approach of how IT data architects, business users and IT developers can collaborate together in building and managing a Logical Data Lake to get control of your data. This includes data ingestion, automated data discovery, data profiling and tagging and publishing data in an information catalog. It also involves refining raw data to produce Enterprise Data Services that can be published in a catalog available for consumption across your company. We also introduce multiple Data Lake configurations including a centralised Data Lake and a ‘logical’ distributed Data Lake as well as execution of jobs and governance across multiple data stores. Topics Covered Include:   Strategy & Planning Methodology & Technologies The Data Refinery Process Organizing the Data Lake Compliance In The Data Lake Best practices for data lakes Stages of data-lake development Data lakes and big data analytics: the what, why and how of data lakes Data Lake Modeling and Management Systems Architecting a Serverless Data Lake Data lakes: storage, analytics, visualization and action   Why Participate   Hear from leading subject experts Event includes the latest state-of-the-art research, practical applications and case studies. Excellent networking opportunities throughout the day with all participants, including presenters and exhibitors. Enterprise benefits viz. Simplified data access, Enhanced agility for data users, reduced costs and Improved decision making. Up-skill & re-skill yourself to remain competitive & relevant Interactive Learning with Chalk-Talks & Open-Talks, scheduled interactions with speakers & panel-discussions. Get conference material for all talks & certificate of participation.   Who Should Attend?   Database Administrators Database Developers Business Intelligence Professionals Big Data Professionals Solutions Architects Data Scientists Database Managers & Team Leaders Technical Leads Business Analysts Data/Analytics Consultants CTOs/CIOs/IT Directors Project Managers/Leads Register Now : http://bit.ly/2EZJzQt [http://bit.ly/2EZJzQt]