The big data analytics company Kyos Insights announced that it will host a session “BI on Big Data - With Instant Response Times” at the Gartner Data and Analytics Summit 2018 conference in Grapevine, Texas from March 5-8, 2018. The session will mainly focus on how companies are addressing various challenges related to data complexity. It will also discuss about how enterprises have setup data lakes to bring in information from diverse sources but are facing totally new set of challenges as users are not completely able to make use of the data because of slow query response times and data complexity.
(Source : https://www.prnewswire.com/news-releases/kyvos-insights-and-verizon-to-host-session-bi-on-big-data--with-instant-response-times-at-verizon-at-the-gartner-data-and-analytics-summit-2018-300608163.html )
There have been tremendous developments in the big data space for the last 15 years. The early adopters of Apache Hadoop (Yahoo and Facebook) were among the first companies to build and manage Hadoop-based data lakes.The term data lake has now become an integral part of every enterprise data architecture but the emergence of cloud has changed the manner in which organizations look at data lakes. Data lakes will continue to grow in the cloud era but CIO’s and CDO’s will face 3 major challenges in their implementation -
(Source : http://www.information-age.com/data-lake-cloud-era-123471020/ )
For the complete list of big data companies and their salaries- CLICK HERE
Big data has transformed the world and continues to be work in progress but what form the big data market will take is still uncertain. Cloud computing providers are quickly capturing a large market share of enterprise business in the big data space while software suppliers are still struggling hard to find out a sustainable business model in the open source ecosystem. The pre-packaged big-data services market is also emerging quickly because of the maturing vendor ecosystem and increasing number of cloud based options that allow users focus more on applications instead of technology. Organizations that do not master big data fundamentals will be increasingly marginalized in the future.
(Source : https://siliconangle.com/blog/2018/03/06/big-data-transformed-world-now-getting-business/ )
Success in Fashion industry depends on the season’s collection based on choosing the right colors, fabric, patterns, shape and sizes. Big data analytics can be leveraged by fashion industries to understand what kind of trends are popular and what fashion trends are going out of data at any given point for a product.Big data has become an integral part of the retail process right from finding what products will be popular by predicting trends, optimizing the prices for such products to gain competitive advantage, forecasting where the demand will be for popular products, identify the customer segment who would be interested in buying those products and working out the best way to approach them. Watch out the video at the below link to understand how the biggies of fashion industry Tommy Hilfiger, Adidas, Raymond and others are leveraging big data
(Source : http://www.indiaretailing.com/2018/03/09/fashion/iff-2018-big-data-decoding-fashion-landscape/ )
Information Builders is letting the users of its WebFOCUS product to tap into the power of Hadoop. It is partnering with BI accelerator Jethro to provide its customers with the ability to access hadoop clusters for cost saving. Using the company’s iWay DataMigrator, Information Builders customers can pull data into Jethro irrespective of where the data is stored. Then through the IB’s connector, users can index, build dynamic cubes and query for structured as well unstructured data resulting faster response time. This will help organizations make real-time insights available to all its customers.
(Source : https://www.rtinsights.com/info-builders-leverages-jethro-and-hadoop-for-real-time-operational-analytics/ )
With 800 million monthly active users and 70 million photos uploaded everyday- Instagram is the heartbeat of social networking for sharing photos and videos. People show their love on these posts with a heart, comment or a hashtag. All this generates huge amount of big data. From improving its platforms for users and advertisers to identifying offensive or fake content, Instagram leverages big data analytics on all the data it collects. Following are the use cases where big data and AI is being leveraged extensively -
(Source : https://www.forbes.com/sites/bernardmarr/2018/03/16/the-amazing-ways-instagram-uses-big-data-and-artificial-intelligence/#2bca531a5ca6 )
Hortonworks has been struggling since 2011 to convince organizations to adopt a completely new open source big data framework like hadoop for new kind of analytical processing and develop a business selling software which customers can get elsewhere for free. However, now customers spend more than $100 million a year with Hortonworks and most of the spending is on Hadoop subscriptions. Hortonworks manages the entire lifecycle of the data from the point of origination to data at rest with hadoop. Hadoop has proven itself over the years as it’s driven several petabytes of data in many high-value big data use cases always outperforming other proprietary environments.
(Source : https://siliconangle.com/blog/2018/03/23/elephant-room-hortonworks-ceo-thinks-hadoop-software-will-keep-driving-big-data/ )
There has been a lot of debate on the future of the tiny toy elephant in the big data room in recent months. The techies at Splice Machine say that if Hadoop is made to look more like a relational database then users will make the best out of it. Splice Machine founder and CEO Monte Zweben told Datanami at the recent Strata Data Conference. “Our opinion is that you can take infrastructure that people understand, like relational database management systems, and run them directly on the data lake.” Splice Machine’s open source technology which turns Hadoop into distributed ACID compliant relational database is ready for release. Wells Fargo is the biggest paying customer , but it as well has several customers across healthcare, finance and other industries.
(Source : https://www.datanami.com/2018/03/26/making-hadoop-relatable-again/ )
Leading players in the global hadoop market are vying to acquire smaller ones to strengthen their competitive position in a market characterized by consolidated vendor landscape.To stimulate growth, leading vendors in the hadoop market are adopting strategies like acquisitions and partnerships so that they can dive into regional markets where there is great potential for hadoop. Not just this but the leading vendors are also trying to come up with their own version of hadoop to increase market share.With increasing volume of data, the big data hadoop market is likely to witness many new entrants reaching US$37,759.0 mn by 2023.
(Source: http://www.digitaljournal.com/pr/3716897#ixzz5BUeGjn2s )