Introducing new possibilities with a new integration!

The discipline of data security manifests through many capabilities that protect information at rest, in motion, and in use.   The average cost of a data breach in 2019 was calculated at $3.92 million which involved 25,575 accounts that year according to a report by the Ponemon Institute and IBM Security. High-profile companies such as Capital One, Evite, and Zynga experienced data breaches that exposed more than 100 million customer accounts each. Data breeches must be disclosed to customers, so they can be costly events that result in multi-million dollar lawsuits and settlements.   Many organizations realize two things, the value of data and the cost to protect data are increasing simultaneously. This makes protecting data with patches a very cost-prohibitive solution. More security layers and patches only add an equal cost to the overall situation. Instead, IT teams must design and implement the right data management strategy from the beginning and, select the right solutions.   To make matters worse, the median data volume that companies currently have under management – in both structured and unstructured formats – is now greater than 630TB, which is expected to exceed 820TB within two years. Data breeches must be disclosed to customers, so they can be costly events that result in multimillion-dollar lawsuits and settlements.   One best practice area for any data security strategy is database protection. This includes such things as monitoring database activity to detect unusual user activity, as well as conducting regular access reviews to identify old and unnecessary permissions. Both of which OneDB  permits through its OneDB  Explore front-end UX tool. It includes encrypting data, which OneDB does at various levels: column level; all or selected database storage units – dbspaces and subspaces; backup archives; client-server & server-server communication. And of course, enforcing the least amount of privilege possible to carry out a function policy is also prudent.    OneDB is a safe, cost-effective and efficient choice for data management. To learn more about how the HCL OneDB data platform will support your data security strategy, visit us at https://hcltechsw.com/products/onedb.   

HCL SoFy uses Helm technology to provide HCL products and APIs as cloud-ready building blocks. These catalog products and services are enabled for Kubernetes as docker images and helm charts

We are living in the data age. Enterprises today are generating data at an unprecedented pace and require the ability to store and utilize data like never before.   But where is the data going? Everywhere. For many enterprises, data sprawl is a real challenge. Thanks to modern technology advancements, the complexity created by data sprawl is compounded by an enterprise’s continuing need to manage legacy systems, deploy modern systems, and respond to changing business conditions in a timely fashion.   Enterprises are proactively undertaking strategic efforts to use data to make more informed business decisions, operational improvements, organizational changes, and enhancements to the customer experience.  Consider all the different data types that enterprises are analyzing (image below). The median data volume that companies currently have under management – in both structured and unstructured formats – is now greater than 630TB, with that number expected to exceed 820TB within two years.    Moving Past the Barriers     The systems, data types, and the analytical processes enterprises needed to execute against their data, are likely to evolve. While it would be difficult to predict what will be popular in the future, we do know that machine learning will see significant adoption over the next few years. Machine learning thirsts for data; multiple data types from numerical, text, images and more are used to train and build machine learning models.    For enterprises, it’s imperative to take the long view on data and data platform systems. It is rarely feasible to adopt and implement every new technology or system that comes along. It’s been proven repeatedly that polyglot persistence might be good for one-off workloads, but that model soon breaks down at scale. HCL’s cloud native, multi-model database, OneDB, is designed to overcome those limitations and scale to meet future data demands, while significantly lowering TCO.   Why Choose HCL OneDB   OneDB provides a rich multi-model data platform for your...

The HCL Link Supply Chain EDI (Electronic Data Interchange) Pack gives pre-assembled structures that convey different forms of the standards for use with HCL Link. The time and exertion to manually construct a portion of these structures would require an extended period of time due to the intricate nature of the guidelines.   What is the EDI Transactions Support? The HCL Link Supply Chain EDI Pack extends HCL Link to address EDI-centric requirements, including ANSI X12 documents, EDIFACT documents and Tradacoms transactions. Schemas for these EDI standards are provided from 2003 version though the current version released. When new versions become available, they are provided as part of the Support process. When moving from one version of the standards to another, you can save valuable time on the maintenance of that interface. HCL Link interprets changes to the standards schema and guides you through updating your existing integrations. By utilizing the HCL Link Supply Chain EDI Pack, the structure of the integration source or target is accommodated for you. You can rapidly make integration streams and complex transformations changes within the cloud, on-prem or hybrid applications. The HCL Link Supply Chain EDI Pack centers around the tedious exertion of getting, characterizing and keeping up EDI standards permitting you to zero-in on acquiring more knowledge, more insight, and more incentive from your data.  Visit HCL Link or download more information about the HCL Link Supply Chain EDI Pack.  

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