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  • File organization for Data Lake February 1, 2019
    Introduction Data Lake is becoming a natural way to architect large datasets and processing around it. As we saw in our earlier blog, Data Lake hosts enormous amount of data. Hence organizing this data is of utmost importance. If not organized, it can become the dreaded Data Swamp in no time. By definition, the data […]
  • Data Replication and Change Data Capture in AWS Data Lake January 31, 2019
    This blog is part of the technical blog series initiated by my colleagues at Persistent. Here are the quick links of previous blogs Data Lake in AWS Cloud, Data Lake Architecture in AWS Cloud, Data Lake or Data Warehouse One of the most common usage of the data lake is to store the data in […]
  • Data Lake Architecture in AWS Cloud January 21, 2019
    In my last blog, I talked about why cloud is the natural choice for implementing new age data lakes. In this blog, I will try to double click on ‘how’ part of it. At Persistent, we have been using the data lake reference architecture shown in below diagram for last 4 years or so and […]
  • Leading a CX Revolution: Digital Greenhouse style January 16, 2019
    Several organizations, today, are looking to transform their current customer experience and bring it up to a level, that is modern and meets the expectations of their customers. But before we get into the nitty-gritties of what goes into crafting that perfect CX, it helps define it in unambiguous terms. The best definition we found […]
  • To Data Lake or Not To Data Lake January 14, 2019
    Very often, we get requests from our customers for workshops on Data Lake. We discuss whether to create a data lake, are there adequate use cases, the technology stack decisions for building the Data Lake platform, security of the data etc. Often, there is an indecision whether Data Lake is necessary. Data Lake is still […]
  • Data Lake in AWS Cloud January 4, 2019
    It has been three years since we (the architect community at Persistent), published a series of blogs detailing our views on Data Lakes – these blogs covered the why, the what and the how of the subject. As someone who takes a lot of interviews for my organization, I get to have a lot of […]
  • Adopt Microservices in T minus 4 weeks December 26, 2018
    The term ‘Monolithic’ is a great draw for tourists wanting to witness the otherworldly architectural skills of the ancients. But in the world of technology, the story is more than a little bit different. In fact, it’s the polar opposite! Today, Monolithic Apps are seen as bulky, difficult, complex and limited. Microservices frameworks are not […]
  • AWS re:Invent 2018 – My Key Takeaways December 4, 2018
    My reflections post the AWS re:Invent 2018 conference in Vegas had me convinced of the need to share a few key takeaways. This blog covers the relevant insights gathered from the conference and talks about why we need to sit up and take notice of them! CEO of AWS, Andy Jassy’s inspiring Keynote reinforced the […]
  • Agile and SAFe transformation with IBM Rational CLM: CLM Support for SAFe® October 12, 2018
    The previous articles in this series discussed the challenges of transforming an organization, how to choose tools, and the basic agile features of  IBM Collaborative Lifecycle Management (CLM).  This article discusses how CLM supports scaling lean and agile, and specifically support for the Scaled Agile Framework®(SAFe). What is SAFe? Lean and agile practices have their […]

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