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Best Practices for Successful Big Data Implementations

18 Sep
By: ClearScale
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By Vyacheslav Gorlov Senior Solutions Architect, ClearScale Big Data adoption is skyrocketing all over the world. According to Wikibon, the Big Data market is projected to grow to $103B by 2027. In five years, more than 150 trillion gigabytes of data will require analysis. That’s a lot of data. Companies are growing increasingly aware of how valuable all of this information can be for driving critical business decisions. Big Data insights allow organizations to identify new sources of growth

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Process Streaming Events at Scale with AWS

02 Sep
By: ClearScale
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Today, we have an incredible amount of data at our disposal. Billions of smart devices continue to flood the market, increasing the volume of available information every day. At the same time, the velocity at which we can process data is improving rapidly with advances in computing technology. We also have access to a wider variety of data, enabling us to glean richer insights about our world. Businesses that can take advantage of Big Data analytics have a distinct advantage

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How to Solve Modern Data Challenges on AWS

14 Aug
By: ClearScale
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We create a massive amount of data every day, and according to IBM, a vast majority of it is unstructured. Fortunately, modern data and analytics tools have enabled us to manage and create value from all of the information we now have at our fingertips. Businesses are becoming increasingly aware of how important modern data tools are for delivering higher-quality offerings, cutting costs, and identifying new growth opportunities. Netflix, a leading proponent of data analytics, claims its personalized recommendation engine

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Data Ingestion Pipeline for Big Data Aggregation and Analysis

11 Mar
By: ClearScale
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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. One of the challenges

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Leveraging Amazon Kinesis Streams for Low Latency Data Ingestion

08 Jan
By: ClearScale
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For many organizations, having so much data at their fingertips can be both a blessing and a curse. While lots of data 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 are the

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Using Amazon ElasticSearch to Improve Performance when Querying Data in MySQL

18 Jun
By: ClearScale
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Search tools have increasingly grown power and functionality over time, and both users and companies have become more reliant on them to identify information and patterns quickly and efficiently. However, even the most robust search tool can experience issues when compiling information from large sets of data. This can be due to either complex relational database joins or the sheer volume of data a single query must parse through to identify the necessary information. Every industry experiences this at some

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Leveraging the Power of Tableau and Redshift on AWS Cloud for Better Analytics

21 May
By: ClearScale
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The medical care industry has sometimes lagged behind other industries when it comes to adopting new technologies, like Big Data Analytics to make care more efficient and cost-effective. Due to the high demand for qualified specialists, the industry for years has relied on certain methodologies to help identify candidates for these types of roles which at times has been costly and not without issues. A client of ClearScale’s has attempted to solve this vexing issue by leveraging technology to

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Collecting and Enriching Data by Leveraging Snowplow for Deep Analytics

29 Mar
By: ClearScale
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The Challenge Every second of every day, billions of data points are created in our online world. Making sense of all of the data and trying to find a singular piece of information that is useful, let alone actionable, is a daunting task. In the fast-moving world of news and media, being able to identify pertinent information out of all of the noise is not just important but a necessity. A large company in the global news space discovered this

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