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Building a Data Foundation Pillar #4: Data Management and Integration

Datavail

Data strategy, data architecture, and data governance: these are the first three steps in building a solid data foundation for your business. Data integration: Once your data has been systematized and standardized, it needs to be integrated and centralized for use in your business intelligence and analytics workflows.

Data 98
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Why Companies Are Moving Their Analytics to Azure Cloud

Datavail

Azure Cloud is the perfect site for many organizations to run their business intelligence and analytics workloads. Below, we’ll discuss both the benefits of Azure cloud analytics, as well as some tips and tricks for companies who are considering a move to the Azure cloud. The Benefits of Analytics on Azure Cloud. Look for “quick wins”.

Azure 98
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Exploring MariaDB’s Storage Engine Options

Datavail

It supports many types of workloads in a single database platform and offers pluggable storage architecture for flexibility and optimization purposes. You may want to use CONNECT for importing and exporting data from a MariaDB database, and for all types of Business Intelligence applications. It is easily scalable.

Storage 98
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Why Companies Are Moving Their Analytics to AWS Cloud

Datavail

More and more companies are running their business intelligence and analytics workloads in the cloud. The advantages of moving analytics to AWS Cloud include: Lower IT costs: Cloud migrations save businesses the costs of on-premises hardware, software licenses, and ongoing support and maintenance.

AWS 98
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The Challenges of ETL: OLTP vs. OLAP Databases

Datavail

The most common type of OLAP system in ETL is the data warehouse : a database for storing large quantities of data that has been optimized for business intelligence and analytics. If information in a data lake needs to flow into your data warehouse, you’ll need to account for this connection when building your ETL architecture.

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Data-driven competitive advantage in the financial services industry

Cloudera

Cloudera worked with the bank to construct a five-layer IT architecture with AI and ML capabilities, enabling it to store, consolidate and process information from multiple data streams on a single platform. This brought about more detailed analysis on customer transaction data, 40% fraud reduction and an improved credit scoring system.

Industry 101
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Build Your BI Strategy

Datavail

Using data as the basis for a sound business intelligence (BI) strategy is considered today’s top organizational goal. Put BI pursuits in the hands of those who do the company’s business, not the IT department. Still, to do so, the organization must also appropriately harness its proprietary information.