What the Lake Forest Couple Helping Ukraine?

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Get browser notifications for breaking news, live events, and exclusive reporting.Terrence McCoy, who covers Brazil for The Washington Post, traversed the length of Highway 319 to report this story.

First the road was cragged and cracked. Then it was a thick slop of mud. Then a swirl of red dust. But now, after we had traveled hundreds of miles through the densest of jungle, the highway was finally good — paved and smooth — and it was here that the driver stopped the truck.

There was an unmarked dirt road branching off from the highway. It cut into the jungle and led out of sight. Lucas Ferrante, the environmental scientist leading this journey, wanted to go down the road and see what — and who — was hidden behind the trees.

“This is illegal deforestation,” he said.

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The driver, who lives on the highway, told him it would be too dangerous to proceed. These rough-hewn side roads are often the work of armed criminal groups. The groups, which dominate this stretch of the forest, had unleashed a wave of fire and destruction that was transforming much of southern Amazonas state into smoldering pastureland. The way they solve problems is with violence. People disappear. Their bodies are never found. Our driver feared the trouble that following this road would bring.

Ferrante, who has spent years detailing the region’sIts decay has for years left much of it impassable, repelling criminal land grabbers and helping to preserve an area scientists say is vital to the survival of the entire forest.

Take a data-first approach. Once we realize the importance of these data management products, we should redesign them with a data-first approach. Although they're data products, they shouldn't be built with only a workflow-centric approach in mind, in which effort is purely put into making a better user interface with some element of machine learning. The data that currently goes into and comes out of these systems isn't typically used effectively because the systems are often built on a weak data backbone. We should reinvent these products by ensuring that the data capture, storage, processing and distribution happen in the most effective manner with impeccable data lineage and easy data governance. As an example, data reconciliation is one of the most important processes in any organization. The quality of data that goes into reconciliation platforms is usually top-notch and what comes out is fully reconciled data: the single source of truth. Do we harvest it? Do we use this source for regulatory, client and financial reporting? Often, the answer is "no."

4. Consider distributed ledger technology. Distributed ledger technology (DLT; i.e., blockchain) can process, store and distribute data with effective traceability and immutability. We can use DLT to build an enterprise data backbone to manage all the data life cycle events. DLT can help make data lineage, data ownership and data governance easier and facilitate building a federated and collaborative model of data management. It can also allow multiple data sources to contribute to data management, instead of relying only on a centralized data management platform.

We've spent enough time and energy building new data infrastructure, big data stores for aggregating data and moving the often costly infrastructure to the cloud waiting for the magic to happen. It's time to take a step back and look at the basics of our data management products—to reimagine, rethink and reinvent them so the data in motion can be effectively harvested. Rather than sending data from multiple platforms in the business ecosystem to the data lake and keeping our