Enterprises turn to Kubernetes to handle big data
Kubernetes is rapidly becoming the standard for cloud and on-premises data workloads according to a new study from big data performance management company Pepperadata.
The study of 800 participants shows the motivations for adopting the container platform include improving resource utilization for reduced cloud costs (30 percent). While 23 percent want to enable their migration to the cloud; 18 percent to shorten deployment cycles; 15 percent to make their platforms and applications cloud-agnostic; and 14 percent to containerize monolithic apps.
New platform offers safe, self-service data sharing
In order to get the best value from data it's important that it's accessible to the right people in the business at the time they need it.
Data privacy specialist Privitar is announcing a new data provisioning platform that makes self-service data available safely, at scale, to the people who need it.
Majority of enterprises lack mature data strategy
A new study reveals that 70 percent of enterprises lack a mature data strategy. The study from cloud migration and managed services company 2nd Watch finds only 26 percent have any data strategy at all.
Most organizations recognize the importance of comprehensive data management though with 60 percent of respondents claiming to have an enterprise-wide data catalog.
The future of enterprise search technology [Q&A]
Businesses are gathering more data than ever before, but being able to make effective use of it means being able to find information when you need it.
What challenges does dealing with these ever larger amounts of data present? And how can you be certain that your searches are delivering relevant information and insights to drive your business decisions? We spoke to Stéphane Kirchacker, VP EMEA at search specialist Sinequa to find out.
Breaking down the silos between IT and business [Q&A]
Until the cloud and the idea of big data came along it wasn't unusual for different parts of a firm to have their own information separate from the rest of the business.
But digital transformation initiatives recognize that all information is important to the organization and that silos are increasingly a bad thing.
Over two-thirds of enterprises fail to exploit valuable data
Despite the fact that data is a key resource for business decision making, a new study reveals that many businesses are leaving it untapped.
The research by Dimensional Research for data integration company Fivetran shows that 44 percent of respondents say that key data is not yet usable for decision making and 68 percent say additional business insights could be extracted from existing data if they only had more time.
AI-driven platform helps to remove bias in data
As businesses become more reliant on data, ensuring that it's free of bias is essential to meeting compliance requirements as well as delivering useful insights.
A new AI-driven platform from Synthesized has been designed to understand a wide array of regulatory and legal definitions relating to contextual bias. It can automatically identify bias across data attributes like gender, age, race, religion, sexual orientation, and more.
New platform helps businesses get the most from data lakes
Data is key to the competitiveness of modern enterprises, but the quality of that data determines how useful it is.
Customer data platform Segment is launching a new data architecture product built specifically to help companies deliver better customer experiences. Segment Data Lakes gives companies a foundation to produce advanced analytics, uncover customer insights, and power machine learning and AI initiatives.
Why the IoT presents major data challenges [Q&A]
Internet of Things (IoT) devices are generating huge volumes of data and that represents a challenge for organizations when it comes to processing and storing it.
We spoke to Karthik Ranganathan, CTO of the company behind the distributed SQL database YugabyteDB, to find out how businesses can cope with the complexity and performance issues that handling IoT data and its associated metadata raises.
IT leaders are unhappy with their data management and data warehousing solutions
New research published today by intelligent integration platform SnapLogic reveals that 83 percent of organizations are not fully satisfied with the performance and output of their data management and data warehousing initiatives.
The study carried out by independent research firm Vanson Bourne, finds that the average organization has 115 distinct applications and data sources across their enterprise, but almost half of them (49 percent) are siloed and disconnected from one another.
Building a data-driven culture with a data analysis framework
Creating a data-centric culture in your business requires a shift in mindset that won’t happen overnight. However, it is a goal that becomes more attainable the more it is driven by your people working towards it with passion and enthusiasm -- as opposed to something dictated to them from the top.
There are a mix of factors that can cause barriers that hamper the successful development of a data-driven culture. At the base level, the technology and infrastructure choices a company makes, and what it provides its employees to work with, can be majorly prohibitive to a healthy data culture if that technology doesn’t support people in how they do their job.
US big data firm is using confidential UK coronavirus patient information to build 'COVID-19 datastore'
There are privacy concerns following the revelation that confidential data from UK coronavirus patients is being used by technology firms and government to build predictive computer models to help fight the pandemic.
US big data firm Palantir and UK AI startup Faculty are working together to put together what has been described as a "COVID-19 datastore". Pulling together information from government databases as well as information from health services, the project also makes use of highly personal data relating to individual patients according to documents seen by the Guardian.
Integrated deployment approach plugs the gap between data science and production
While data is essential to businesses it increasingly seems that there is a gap between creating data science and actually using the information in production.
Open source analytics company KNIME is aiming to eliminate this gap with the launch of Integrated Deployment.
New structured data service allows faster access for applications
As enterprises make more use of widely-available analytics engines such as Presto, Apache Spark SQL or Apache Hive, they often run into inefficient data formats and face performance challenges as a result.
Open source cloud data software company Alluxio is launching a new Structured Data Service (SDS) that will allow developers and data scientists to benefit from a more simplified data platform that enables connections to different catalogs for access to structured data, with less copies and pipelines and more compute-optimized data.
New application delivers easier data access for business analysts
Businesses are collecting more data than ever, but ensuring that employees have easy and reliable access to information they need for their jobs can prove difficult.
Now though Kloud.io has raised $4 million in seed funding for its spreadsheet-based application that enables financial analysts to directly access data from multiple sources, such as Salesforce, Oracle, Netsuite, and hundreds more.
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