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Building Better Data Pipelines with AWS Step Functions

22 Oct
By: ClearScale

When it comes to data management, there are three important components. There’s generating the data, which is often called online transaction processing (OLTP). There’s analyzing the data, which is referred to as online analytical processing (OLAP). Both can involve multiple systems. Then there’s the process of moving data between systems. This can include copying data, moving it from on-premise to the cloud, reformatting it, combining it with other data sources, and other steps. Each step can require

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You Don’t Have to Tackle Big Data Projects on Your Own

26 Aug
By: ClearScale

There was a time not long ago that words like “artificial intelligence” brought to mind human-like robots and mega-computers out to take over the world. Today, artificial intelligence, known as AI, along with machine learning (ML), the Internet of Things (IoT) and Big Data, are becoming “business as usual” for an increasing number of companies. They’re driving innovation, creating efficiencies, generating new products and services, and opening the door to entirely new business models. It’s all because of

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Data Ingestion Pipeline for Big Data Aggregation and Analysis

11 Mar
By: ClearScale

The Challenge A financial analytics company's data analysis application had proved highly successful, but that success was also a problem. With a growing number of isolated data centers generating constant data streams, it was increasingly difficult to efficiently gather, store and analyze all that data. The company knew a cloud-based big data analytics infrastructure would help, specifically a data ingestion pipeline that could aggregate data streams from individual data centers into a central cloud-based data storage. Among the challenges in

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Migrating HDP Cluster to Amazon EMR to Save Costs and Ease the Upgrade Process

04 Mar
By: ClearScale

Big data has transformed the way companies conduct business. Through the careful analysis of large amounts of information, organizations can be empowered with modern decision-making capabilities that make it easier to draw conclusions and carry out actions based on accurate, relevant, and up-to-date data. Companies that embrace big data gain access to tools that can significantly reduce the cost of doing business. Using big data to help an organization lower costs requires a detailed understanding of how, when, and where

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Leveraging Amazon Kinesis Streams for Low Latency Data Ingestion

08 Jan
By: ClearScale

For many organizations, having so much data at their fingertips can be both a blessing and a curse. While lots of data of course provides teams with valuable insights that can guide effective decision making, such an avalanche of information can also be a struggle to sift through and make sense of. Data is also ever-changing — and it’s up to teams to keep up so that they’re always gleaning the most relevant insights. The teams that stand apart

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