Read this paper to understand the five security and auditing capabilities you’ll need to protect your data and prove regulatory compliance with Amazon managed database services.
Archive - July 2020
arindamSenComplete Protection at the Edge Whitepaper
The network perimeter is dissolving. An ever-increasing attack surface covers virtually every device in the world. Yet businesses must still be able to complete a digital transformation in order to respond quickly to...
8 simple building blocks for data preparation
Data preparation accounts for about 80 percent of the work of data citizens. This means time is spent cleaning, organizing and collecting data sets rather than mining curated datasets for analytics and building...
A comprehensive guide for the modern data catalog
As the volume of data has grown exponentially, the need for making data sources more discoverable and manageable is growing, so organizations can make more informed decisions about how to use and monetize their data...
Organize your data to be AI-ready with DataOps
Companies undertaking digital transformation and leveraging artificial intelligence (AI) need organized and trusted data that is business-ready for analytics and model building. Recent research from The Institute for...
Optimizing an Enterprise Data Warehouse for a MultiCloud Strategy
One of the most effective optimization approaches to the enterprise data warehouse (EDW) is to offload data and workloads. But with multicloud adoption continuing to rise this creates new challenges in preparing an...
How DataOps can accelerate your journey to AI
Organizations are seeking agile and automated development processes for data analytics so their data citizens and business users can work together more efficiently and effectively. DataOps helps create and sustain a...
2019 Gartner Magic Quadrant for Data Integration Tools
The data integration tool market is resurging as new requirements for hybrid/intercloud integration, active metadata and augmented data management force a rethink of existing practices. The competitive landscape of this...
DataOps interactive guide
Automated data operations (DataOps) helps drive innovation by deploying an integrated business-ready data pipeline that drives analytics and AI at scale, achieves operational efficiency and enables privacy and...
Deliver business-ready data in real time for AI with IBM Cloud Pak for Data DataStage
Bringing disparate data sources together to derive faster insights using AI can be challenging with the ever-increasing volume of data being created and consumed in today’s world. IBM DataStage® allows you to move and...