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Doing Cloud Migration and Data Governance Right the First Time

erwin

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (APIs), file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data.

Cloud 145
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News URSNIF variant doesn’t support banking features

Security Affairs

The analysis of the code of the latest variant revealed that the developers had totally removed the banking functionalities. that were embedded into the binary the LDR4 variant introduces a new data structure for storing joined files. Upon opening the document, it will download and execute the LDR4 payload.

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A custom PowerShell RAT uses to target German users using Ukraine crisis as bait

Security Affairs

” reads the analysis published by MalwareBytes. The malicious code builds a unique id for the victim and exfiltrates data as a JSON data structure sent to the C2 server via a POST request. The PowerShell RAT collects basic system information and exfiltrates it to the domain “kleinm[.]de”

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What is metadata management and why is it important?

Collibra

Data architects connect business metadata with technical metadata via conceptual and logical models. They are the second-largest group of metadata consumers at 70%, asking questions like the approved data structure for storing customer data or the source of report tables.

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Poulight Stealer, a new Comprehensive Stealer from Russia

Security Affairs

Technical Analysis. A peculiarity of this sample is that it does not have a minimal sign of obfuscation, the analysis is quite easy, so describe the malware capabilities. Poulight was first spotted by MalwareBytes researchers in middle March and indicators of compromise have been already shared among the security community.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

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Five benefits of a data catalog

IBM Big Data Hub

Since her company doesn’t have a data catalog, Alex must first communicate with the shoe line-of-business and the jewelry line-of-business departments to ask what data she needs to conduct her analysis. Weeks pass by until the IT team locates and masks the data. Thankfully, a data catalog can help.