Stepping up Disaster Recovery with Amazon Data Lifecycle Manager

18Feb,22 Post Image

From big organizations to mom and pop shops, everyone is moving to and is affected by the cloud, especially when disaster strikes causing downtime. Downtime is not an option for big organizations or for mom and pop shops. Whether it’s a ransomware attack, a power outage, flood or simply human mistakes, unpredictable events occur. The […]

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How to perform AWS IAM database authentication

04Feb,22 Post Image

In this blog, I will discuss how to authenticate your database instance using AWS Identity and Access Management (IAM) database authentication. In keeping with AWS’s best practices of “shared responsibility,” the AWS IAM service is a “customer responsibility” layer of security for your data. Using AWS IAM with Amazon Relational Database Service (Amazon RDS) You […]

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What is YAML, and why is it used for data serialization?

21Oct,21 Post Image

YAML is a straightforward, machine-parsable data serialization format designed for human readability and interaction, which can be used in conjunction with all programming languages. YAML is popular because it is optimized for data serialization, formatted dumping, configuration files, log files, and internet messaging and filtering. Since YAML works in concurrence with any programming language, it […]

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Future-proof your database workloads with Amazon Aurora Serverless v2

03Dec,20 Post Image

By Kireet Kokala, VP Big Data & Analytics at nClouds On December 1 at AWS re:Invent 2020, AWS announced Amazon Aurora Serverless v2 availability in preview for the MySQL 5.7-compatible edition of Amazon Aurora (Aurora). The Aurora Serverless v2 preview can easily be accessed by filling out the following form:  https://pages.awscloud.com/AmazonAuroraServerlessv2Preview.html In this blog, I’ll […]

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How to create custom partitions in Amazon Athena with non-standard data structures for cost-efficient queries

21Oct,20 Post Image

Just recently, I had my very first experience working with Amazon Athena (Athena). Athena is an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) using standard SQL. In simpler terms, Athena lets SQL run queries against data stored in Amazon S3 without actually having any database […]

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How nClouds helps accelerate data delivery with Apache Hudi on Amazon EMR

06Oct,20 Post Image

Are you dealing with the challenges of data latency, data quality, system reliability, and data privacy compliance for your large-scale and near real-time applications? Learn how nClouds can help you resolve those challenges by using Apache Hudi on Amazon EMR. Includes a step-by-step method to perform a proof of concept of this solution. Read the […]

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nClouds Achieves AWS Data and Analytics Competency Status

31Mar,20 Post Image

AWS Premier Consulting Partner proves technical credentials and customer success nClouds announced that it has achieved AWS Data and Analytics Competency status. The designation recognizes that nClouds has demonstrated technical proficiency and proven customer success in big data-related solutions. The company’s Data & Analytics Services focus on helping AWS customers transform data into useful analytics […]

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4 tips for implementing a data lake on AWS to reduce TCO

31Mar,20 Post Image

Many of our customers want to understand the advantage of migrating a data lake or data warehouse to the cloud. Such migration is absolutely the correct approach to create an environment that will support application and analytics needs without constant concerns about increasing storage and compute resources as the company grows and data needs increase. […]

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Proven AWS real-time data analytics architecture cuts operational costs 50% or more and improves performance

18Oct,19 Post Image

Here at nClouds, we often work with fast-growth clients that require analytics of real-time streaming data. They need a modern data and analytics architecture that: Enhances efficiency and performance by: Processing data at high speed. Scaling automatically to maintain consistently high performance. Starting as many instances as needed without lengthy deployment and configuration delays. Storing […]

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How to use AWS Glue to accelerate data analytics, reduce data prep time, and save costs

26Sep,19 Post Image

Here at nClouds, many of our clients are fast-growth, data-intensive startups and growth-stage companies. They often ask for our help to optimize their data preparation time and costs, and deliver additional value to their customers. Sound familiar? In such a case, I recommend a solution using AWS Glue and Amazon Athena to more easily structure […]

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