Data insights became a lot more accessible last week with the emergence of new integrations meant to help facilitate the flow of information across the enterprise. Syncosrt Inc. opened the floodgates after teaming up with Impetus Technologies Inc. to take some of the effort out of streaming real-time metrics into Hadoop.

The alliance will see its migration technology hooked up to Apache Storm, the preferred option for processing tweets and and other fast-moving data on the open-source platform, through a high-level interface from Impetus that simplifies the process of creating analytic pipelines. The combination of the technologies promises to provide the ability to tap real-time streams without the delay of manual ingestion.

But not all of the credit goes to Syncsort and its new partner for the functionality. The process of physically moving the data into Hadoop is carried out under the hood by an entirely different component, a message broker called Apache Kafka. The tool was originally created at LinkedIn, Inc., an unwitting leader in the open-source analytics ecosystem that once again pushed the envelope this week with the acquisition of Radar.io.

The low-key mobile outfit has created an app that can piece together a profile of an individual’s professional activities from the disparate details in their data trails. The underlying analytics technology will be integrated into LinkedIn to help users discover common ground with the people they’re trying to contact through its platform.

Perhaps the only area where that kind of knowledge is more important than networking is sales, which Oracle Corp. hopes to address with the incorporation of the consumer spending information it gained through the acquisition of Datalogix Inc. last year into its cloud-based marketing suite. Users can take advantage of that insight through a new correlation service debuted last week that works much like Radar.io’s technology and pulls details of an individual’s activities from different channels into a complete profile of their digital habits.