NOTICE - Hadoop continues to show significant evidence of how companies get a measurable return on investment from storage, processing, analysis and sharing of Big Data, according to CEO and cofounder of MapR Technologies, John Schroeder. The company CEO also sees the agility of data platforms of data processing, self-service, market consolidation and the rise of the enterprise architect as major events.
MapR Technologies is a technology provider Hadoop for Big Data deployments. Major developments that John Schroeder believes will drive Big Data in 2015 - to become a must-have infrastructure for business - include:
- Data Agility appears as a Top Focus - "Legacy databases and data warehouses are so expensive that the database administrator (DBA) are the resources needed to flatten, summarize and fully structured data. Upfront costs DBA delay access to new sources of data and the rigid structure is very difficult to change over time. the net result is that the former
databases are not agile enough to meet the needs of most organizations today. the first Big data projects focused on the source storage target data. Rather than focusing on the amount of data is handled, organizations will shift their attention to measuring the agility of data. How the ability to process and analyze the impact of operations data? How long can they adapt and respond to changes in customer preferences, market conditions, competitive actions, and the status of operations? These issues will be directly investment and scope of Big Data projects in 2015 " - Organizations Lakes pass data to the data processing platforms -". During the past year, data from lakes and data centers represented a popular first deployment for Hadoop. A lake of data or data concentrator is a scalable infrastructure that is both economically attractive (lower cost per terabyte) and designed for flexibility - it has the ability to store various forms of structured and unstructured data. The ability to use thousands of servers commodity and petabytes of data stores for less than $ 1,000 per terabyte per year has been a basic advantage of Hadoop. In 2015, data from lakes evolve as organizations move from one batch to real-time processing and integrating Hadoop file-based and database engines in their large-scale processing platforms. In other words, it is not on the large scale storage in a data lake to support queries and larger reports; the big trend in 2015 will be around continued access and event processing and real-time data to make constant awareness and take immediate action "
- Self-Service Big Data Goes Mainstream -. "in 2015, IT embrace self-service Big data for developers, scientists, and data analysts to directly perform data mining. Previously, it would be necessary to establish centralized data structures. This is time-consuming and inexpensive. Hadoop was now comfortable with the structure-on-read for certain use cases. advanced organizations are moving data links about running away and a central structure to meet current requirements. This self service speeds organizations in their ability to leverage new data sources and respond to opportunities and threats "
- Hadoop Vendor Consolidation: New business models evolve, while ' other emerging market - "Technologies. mature in phases: the technology life cycle begins with the innovation and creation of highly differentiated products, and ends when the product is finally unmarked. Edgar F. Codd created the concept of relational database in 1969 with innovation leading to Oracle IPO in 1986 and commoditization starting with the first version of MySQL in 1995. Thus, core platform technology data took more than 25 years of innovation before any trivialization. Despite
"In 2015, IT embrace self-service Big Data for developers, scientists, and data analysts to directly perform data mining," said John Schroeder.
impressive world-wide adoption, Hadoop is still early in the life cycle of mature technology with only 10 years pass since Google released the seminal white paper MapReduce. Hadoop is in innovation phase, so that the suppliers who wrongly adopted "Red Hat for Hadoop" strategies are already out of the market. the market is now 20 years open source software (OSS) adoption that has provided tremendous value. in 2015, we will see the continuing evolution of a new model, more nuanced OSS to combine innovation with deep community development. the open source community is paramount to establishing standards and consensus. Competition is the accelerator Hadoop transform what began as a batch analysis processor for a complete platform of data "
- Enterprise Architects Separate Hype Big Big data - ". As organizations move quickly beyond experimentation to serious adoption in the data center, enterprise architects move front and center in the way of adopting Big Data. IT managers will be essential to determine the underlying architecture needed to meet SLAs, high availability, business continuity and meet the essential needs of the mission. In 2014, the ecosystem growing around Hadoop was celebrated with a proliferation of applications, tools and components. In 2015, the market will focus on the differences between the platforms and the necessary architecture to integrate Hadoop in the data center and deliver business results. "
" This is the year that organizations are moving Big Data deployments beyond initial implementations batch and real time, "added John Schroeder . "This will be driven by the tremendous progress that the leaders of the industry and existing soon-to-be new leaders have already incorporating new Big Data platforms in their operations and the integration of the analysis of" data in flight "to the impact of business as it happens. "
about MapR Technologies, John Schroeder
platform enterprise quality MapR supports a wide range of production applications critical, real-time and provides' reliability, ease of use and the world record "speed to Hadoop applications, NoSQL, database and streaming into a unified distribution for Hadoop. Amazon, Cisco, Google, and Teradata HP are part of the broad partner ecosystem MapR.
John Schroeder, CEO and cofounder of MapR Technologies
John Schroeder served as CEO of MapR and Chairman of the Board since the founding of the company in 09. Before founding MapR, Schroeder held executive positions in a number of enterprise software companies with a focus on data storage and business intelligence to both private and public companies, including :. CEO of Calista Technologies (now Microsoft), CEO of Rainfinity (now EMC), vice president of products and marketing at Brio Technologies (bryo) and general manager at Compuware (CPWR)
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