The Last Watchdog

OCTOBER 23, 2023

SOCs require the ability to manage detections and analyze real-time security threats in a unified manner, regardless of where their data is stored, which is best achieved by separating their analytics layer from their data logging layer.

Data science 261

Data science Security Analytics Data migration 261

Reltio

DECEMBER 2, 2020

Since we’ve been getting a lot of questions about how to successfully execute a master data migration, I invited Ranga Iyengar, our Vice President of Expert Services to provide answers. We will also help build out the legacy data migration and configure SSO. Data governance and data steward teams.

MDM 78

MDM Data migration Digital transformation Customer Experience 78

IBM Big Data Hub

JULY 5, 2023

Data Lakes have been around for well over a decade now, supporting the analytic operations of some of the largest world corporations. Data could be persisted in open data formats, democratizing its consumption, as well as replicated automatically which helped you sustain high availability. What can you do next?

Analytics 61

Analytics Metadata Data migration Data science 61

Collibra

DECEMBER 8, 2023

Is there a data migration plan that prioritizes high-value, high-usage data aligned with those priority use cases? The rubber meets the road when you start to map your key business objectives against your data migration use cases. This step is about alignment. But which ones should you prioritize?

Cloud 59

Cloud Data migration Compliance Communications 59

IBM Big Data Hub

DECEMBER 20, 2023

Workloads involving web content, big data analytics and AI are ideal for a hybrid cloud infrastructure. For instance, companies that must adhere to GDPR compliance can specify locations where data is not permitted to reside, whether in a public or private cloud, and tailor data migration and protection rules accordingly.

Cloud 96

Cloud Digital transformation Customer Experience Compliance 96

eSecurity Planet

JANUARY 18, 2024

Security issues can thereby go undetected, potentially resulting in extended data exposure or illegal access. Implement comprehensive monitoring solutions, detect anomalies using advanced analytics, and establish incident response protocols. Pay-as-you-go reduces operational costs.

Cloud 122

Cloud Risk Security Encryption 122

erwin

SEPTEMBER 10, 2020

Yet given this era of digital transformation and fierce competition, understanding what data you have, where it came from, how it’s changed since creation or acquisition, and whether it poses any risks is paramount to optimizing its value. Data Lineage Tells an Important Origin Story. Major Inefficiencies.

Digital transformation 131

Digital transformation Metadata Government Compliance 131