What is a Data Lake?
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems.
Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
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The rise of virtualization as a business tool has dramatically enhanced server and primary
storage utilization. By allowing multiple operating systems and applications to run on
a single physical server, organizations can significantly lower their hardware costs and
take advantage of efficiency and agility improvements as more and more tasks become
automated. This also alleviates the pain of fragmented IT ecosystems and incompatible
Protecting these virtualized environments, however, and the ever-growing amount
of structured and unstructured data being created, still requires a complex, on-prem
secondary storage model that imposes heavy administrative overhead and infrastructure
costs. The increasing pressure on IT teams to maintain business continuity and information
governance are changing how businesses view infrastructure resiliency and long-term data
retention—they are consequently looking to new solutions to ensure immediate availability
and complete protection of the
Published By: MarkLogic
Published Date: Nov 07, 2017
Business demands a single view of data, and IT strains to cobble together data from multiple data stores to present that view. Multi-model databases, however, can help you integrate data from multiple sources and formats in a simplified way.
This eBook explains how organizations use multi-model databases to reduce complexity, save money, lessen risk, and shorten time to value, and includes practical examples. Read this eBook to discover how to:
Get unified views across disparate data models and formats within a single database
Learn how multi-model databases leverage the inherent structure of data being stored
Load as is and harmonize unstructured and semi-structured data
Provide agility in data access and delivery through APIs, interfaces, and indexes
Learn how to scale a multi-model database, and provide ACID capabilities and security
Examine how a multi-model database would fit into your existing architecture
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store massive amounts of data into a central location, so it’s readily available to be categorized, processed, analyzed, and consumed by diverse groups within an organization. Since data - structured and unstructured - can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
Learn about FlexPod Select with Hadoop and how this enterprise class Hadoop has validated, pre-configured components that allow for faster deployment, higher reliability, and smoother integration with your existing applications and infrastructure.
Today’s organisations are tasked with analysing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organisations are finding that in order to deliver analytic insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store enormous amounts of data in a central location, so it’s readily available to be categorised, processed, analysed, and consumed by diverse groups within an organisation? Since data—structured and unstructured—can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse.
A social business is an organization whose culture and systems encourage networks of people to create business value. Social businesses connect individuals, so they can rapidly share information, knowledge and ideas by having conversations and publishing informal content. They analyze social content from multiple channels and sources, in addition to structured data, to gain insights from both external and internal stakeholders. When those things happen, innovation and business execution rates increase, better decisions are made, and customers and employees are more engaged and satisfied. Social businesses enjoy lower operating costs, faster speed-to-market, improved customer and employee engagement, and increased profitability. Many organizations don’t fully appreciate the magnitude of the value creation potential of social business.
Published By: TeraCloud
Published Date: Dec 11, 2007
Storage spawns where it is needed. This leaves IT to manage many islands of storage devices scattered across the enterprise. Compliance requirements, multimedia-rich applications, unstructured content and a proliferation of databases are pushing IT departments to increase the size and complexity of their storage networks. All of this is occurring at a time when the need for centralized storage management has never been greater.
You are being buried by data. Multimedia including videos, audio and photos. Unstructured data in presentations, documents and social media feeds. Even the voicemails and databases that used to be the primary residents of your storage system are growing beyond your ability to manage them effectively. How can you keep it all under control without buying an endless stream of disk and storage devices?
Experts from EMC and other leading storage manufacturers discuss the very latest trends in storage solutions and how an effective application of storage strategy can help tame the information beast and keep performance and availability issues at bay.
Attendees will learn:
- What are the hidden drivers in storage growth
- How businesses of all sizes can benefit from a tiered storage strategy
- Why virtualization is penetrating every level of IT
- What role SSD and flash will play in every storage environment
- What to do now to improve storage utilization and save costs
DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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