Keeping Data Virtualization Up-to-Date with the Hadoop Ecosystem

|

article image
The Hadoop ecosystem is here to stay, for long. Having been one of the most important big data enablers in the recent years and in position to continue being so in the years to come, Hadoop is nowadays one of the key target data sources for general data integration systems such as data virtualization platforms. But Hadoop isn’t just a database or a piece of software. It is a complex ecosystem of highly heterogeneous software living in a distributed data environment – almost an entire Operating System by itself. So, integrating Hadoop as a data source introduces a series of challenges that most other systems don’t; we can start by asking ourselves what does integrating Hadoop as a data source mean exactly…

Spotlight

Xpand IT

Everything we do is to inspire others to achieve outstanding results. We do that by investing in IT mastery to generate market value. As a global company, specialized in Business Intelligence, Big Data, BPM, Enterprise Mobility, Intelligence Integration, Collaboration & Development tools, we have top products and services used by Fortune 500 companies. With more than 800 customers in 57 countries, including Tesla, Porsche, Vodafone, Lufthansa, Nike, Audi or Samsung, Xpand IT is recognized by its technological knowledge and “Passion for Excellence"...

OTHER ARTICLES

MODERNIZED REQUIREMENTS OF EFFICIENT DATA SCIENCE SUCCESS ACROSS ORGANIZATIONS

Article | February 23, 2020

Does the success of companies like Google depend on that of the algorithms or that of data? Today’s fascination with artificial intelligence (AI) reflects both our appetite for data and our excitement about the new opportunities in machine learning. Amalio Telenti, Chief Data Scientist and Head of Computational Biology at Vir Biotechnology Inc. argue that newcomers to the field of data science are blinded by the shiny object of magical algorithms and that they forget the critical infrastructures that are needed to create and to manage data in the first place.Data management and infrastructures are the little ugly duckling of data science but they are necessary for a successful program and therefore need to be built with purpose. This requires careful consideration of strategies for data capture, storage of raw and processed data and instruments for retrieval. Beyond the virtues of analysis, there are also the benefits of facilitated retrieval. While there are many solutions for visualization of corporate or industrial data, there is still a need for flexible retrieval tools in the form of search engines that query the diverse sources and forms of data and information that are generated at a given company or institution.

Read More

Value Vs Cost: 3 Core Components to Evaluate a Data and Analytics Solution

Article | February 23, 2020

All business functions whether it is finance, marketing, procurement, or others find using data and analytics to drive success an imperative for today. They want to make informed decisions and be able to predict trends that are based on trusted data and insights from the business, operations, and customers. The criticality of delivering these capabilities was emphasised in a recent report, “The Importance of Unified Data and Analytics, Why and How Preintegrated Data and Analytics Solutions Drive Busines Success,” from Forrester Consulting. For approximately two-thirds of the global data warehouse and analytics strategy decision-makers surveyed in the research, their key data and analytics priorities are:

Read More

How Better Asset Data Drives Better Capital Planning

Article | February 23, 2020

What are your physical assets telling you? Are they performing to design capacity? Are they providing the expected return on investment? Are they aging and in need of capital investment or replacement? We live in an increasingly data-rich environment, and successful companies must take full advantage of transforming data to information. Among manufacturers there’s growing awareness of how data and analytics can drive operations and maintenance, predicting breakdowns and reducing downtime. However, it’s possible to go further. A mostly untapped opportunity for manufacturers exists in the use of operational data from the factory floor to inform better capital allocation decisions.

Read More

MAKING IOT DATA MEANINGFUL WITH AI-POWERED COGNITIVE COMPUTING

Article | February 23, 2020

Today, the world is all about industry 4.0 and the technologies brought in by it. From Artificial Intelligence (AI) to Big Data Analytics, all technologies are transforming one or the other industries in some ways. AI-powered Cognitive Computing is one such technology that provides high scale automation with ubiquitous connectivity. More so, it is redefining how IoT technology operates.The need for Cognitive computing in the IoT emerges from the significance of information in present-day business. In the brilliant IoT settings of things to come. Everybody from new AI services companies to undertakings to use the information to settle on choices utilizing realities instead of impulses.Cognitive computing uses information and reacts to changes inside it to decide on better options. It is based on explicit gaining from past encounters, contrasted and a standard-based choice framework

Read More

Spotlight

Xpand IT

Everything we do is to inspire others to achieve outstanding results. We do that by investing in IT mastery to generate market value. As a global company, specialized in Business Intelligence, Big Data, BPM, Enterprise Mobility, Intelligence Integration, Collaboration & Development tools, we have top products and services used by Fortune 500 companies. With more than 800 customers in 57 countries, including Tesla, Porsche, Vodafone, Lufthansa, Nike, Audi or Samsung, Xpand IT is recognized by its technological knowledge and “Passion for Excellence"...

Events