White Paper

Guide to Modernize Your Enterprise Data Warehouse

Guide to Modernize Your Enterprise Data Warehouse

As your business increasingly demands more and more from your data, chances are strong that your existing data warehouse is also near capacity. In fact, according to Gartner, 70% of all data warehouses are straining the limits of their capacity and performance levels. If this is true for you, it is time to modernize your data warehouse environment.

This white paper addresses the need to modernize today’s data warehouse environment and outlines best practices and approaches.

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Configuring Kafka for High Throughput

Configuring Kafka for High Throughput

In the last several years, Hadoop has evolved into an excellent and mature batch processing framework which handles the volume, veracity and variety of Big Data.

However, many use cases across various domains need to handle the velocity of Big Data that Hadoop simply is not suited to handle. These use cases require real-time responses for faster decision making. Real-time analytics are also needed for large organization who generate significant log activity. These real time systems need to be able to correlate and predict events based on streaming data as it happens.

Apache Kafka is one of the most popular Open Source messaging systems. This whitepaper explores its performance aspects to achieve high throughput.

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Software Product Development Maturity Model

Software Product Development Maturity Model

Software product development is a science that goes far beyond traditional SDLC or similar processes in the IT industry. It includes challenges that cannot be simply taught to overcome, and the end result of creating successful software products is never a given.

This paper provides the details of the Software Product Development Maturity Model (SPDMM). The discussion begins with the explanation of the philosophy behind SPDMM and concludes with the details of its various sub‐systems. The paper also elucidates the adoption of SPDMM within Impetus. Finally, it compares SPDMM with other process models, such as CMM, and definitively differentiates the core values and areas of application between them.

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DevOps Process

DevOps Process

This document details the collaboration process between our Development and Operations teams in order to integrate software development and operations in the same cycle to achieve continuous delivery of the software.

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10 Mistakes to Avoid in Scrum

10 Mistakes to Avoid in Scrum

Avoiding Scrum rules can result in a reduction of the benefits offered by Scrum practices. Scrum practitioners need to avoid customizing the practice. The white paper discusses 10 mistakes that one needs to avoid while following Agile methodology.

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Building High Performance and Scalable Applications Using AppFabric Cache

Building High Performance and Scalable Applications Using AppFabric Cache

Most applications face challenges related to robustness, speed, and scalability.

This white paper focuses on Windows Server AppFabric, which provides a distributed in-memory cache for applications data.

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Using Elasticsearch to Enable Stronger Query Support in Cassandra

Using Elasticsearch to Enable Stronger Query Support in Cassandra

Relational Databases have been in use for decades, but with the advent of big data, there is a need to use NoSQL databases to handle the enormous amount of accumulating data. This leads to multiple challenges:

  • Many operations such as aggregations, grouping, and ordering cannot be performed with many NoSQL databases
  • Users are unable to use NoSQL data stores due to the restrictions they impose on executing complex and rich queries
  • The learning curve in using these databases is steep Cassandra is one such data store which has restricted query support.
  • However, there are search servers like Elasticsearch that enable extensive querying mechanisms over data indexes.

    This white paper provides an overview of Cassandra and Elasticsearch.

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Implementing the Enterprise Data Lake

Implementing the Enterprise Data Lake

What is a Data Lake, and how does it help meet the challenges of Big Data?

Will the Enterprise Data Warehouse (EDW) and the Data Lake coexist? If so, how?

The white paper explores what it takes to get started on the journey toward incorporating a Data Lake into an organization’s architecture.

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Aspect Based Sentiment Analysis of Customer Reviews

Aspect Based Sentiment Analysis of Customer Reviews

With the increase in e-commerce and social media, there is a proliferation of information that consumers can access to make informed decisions about everything from products, services and experiences. However, navigating this sea of opinions and ratings can be overwhelming, inefficient and unreliable.

The white paper introduces a solution to perform a granular aspect -based opinion mining of customer reviews using sophisticated Natural Language Processing techniques and a platform to interactively explore the results.

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Resolving the Big Data ROI Dilemma

Resolving the Big Data ROI Dilemma

Big Data is a big deal.

But how do we find, fund, and monetize the best data-driven opportunities?

This white paper talks about ways to resolve organizational tension that may exist between big data opportunity management and financial investment concerns.

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