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Laminar Adds Support for SaaS and BigQuery Data Protection

Laminar Security

To effectively protect sensitive data in the cloud, cyber security personnel must ensure comprehensive coverage across all their environments; wherever data travels, including cloud service providers (CSPs), data warehouses, and software-as-a-service (SaaS) applications.

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

This stack creates the following resources and necessary permissions to integrate the services: Data stream – With Amazon Kinesis Data Streams , you can send data from your streaming source to a data stream to ingest the data into a Redshift data warehouse. version cluster. version cluster.

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What you don’t know about data management could kill your business

CIO Business Intelligence

The knock-on impact of this lack of analyst coverage is a paucity of data about monies being spent on data management. In reality MDM ( master data management ) means Major Data Mess at most large firms, the end result of 20-plus years of throwing data into data warehouses and data lakes without a comprehensive data strategy.

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What is a DataOps Engineer?

DataKitchen

Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires. Measure success. Create tests.

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Do I Need a Data Catalog?

erwin

Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer. It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., Sales are measured down to a zip code territory level across product categories.

Metadata 132
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Memory Optimizations for Analytic Queries in Cloudera Data Warehouse

Cloudera

Billion-Row benchmark: On a single daemon, we ran the build and probe benchmark for a billion rows to measure the performance and memory consumed. TPC-DS-10000: Entire TPC-DS benchmark of scale 10000 was run on a 17-node cluster to measure the performance. It also measured peak memory consumed at the node and the operator level.

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How Macmillan Publishers authored success using IBM Cognos Analytics

IBM Big Data Hub

If you’re a reader, chances are good you’ve read a book from Macmillan. The publishing industry is a heavy user of analytics and a broad use of metrics, from commonly used measures such as shipments, orders, revenue, point-of-sales and costs to more focused metrics such as pricing, inventory status and countless others.