Technologies
There are many technologies for implementing Big Data and AI. With a preponderance of the open-source eco-system (around Apache Hadoop), the domain is very innovative. NoSQL databases (MongoDB, HBase, CouchDB or Redis for example), application architectures (Data Lake), cloud infrastructures, integration tools (Talend, Nifi...), tools and languages for data science and AI (Python, Scala, Knime, Dataiku...), data virtualization, in-memory...
Technologies are multiplying and choices can be bewildering. Discover the fundamentals of available technologies, and take advantage of our tutorials dedicated to Data tools and languages.
Data technological fundamentals
View all contentsData has changed decision-making patterns and removed barriers in data analysis. Today, it appears as a logical continuation and natural evolution of the digital revolution, and contributes to the implementation of new processes, habits and uses.
The technological ecosystem of Big Data is very rich and is in constant turmoil. Our experts will decrypt for you the technological fundamentals of Data.
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Data Trends
Implementing a Cloud Data Platform: The Do’s and Don’t
The Cloud is presenting great opportunities in terms of performance and scalability for companies. However, considering some golden rules as a starting point to mitigate risks and ensure your company is ready for a successful cloud strategy implementation is highly advisable. We already stated how powerful Cloud Data Platforms are for companies, enabling new…
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CRM
Marketing Strategy: why and how to implement a Customer Data Platform
In my previous article, I explained that, this year again, we would see a surge in business digitalisation, and that this would accelerate some already observed trends: namely, hyper-automation, AI directly embedded in business processes, Responsive Customer Experience… And I concluded with enterprises’ increasingly high expectations: i.e. support beyond new CRM platform implementation and third-party maintenance. In this…
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Data technological fundamentals
Replay | How to build the next generation Data Lake
Does your Data Architecture support your current and future analytics needs? Are you going back and forth, wondering whether the best solution is a data warehouse or a data lake? What are the advantages and disadvantages of each option? Modern Cloud Data Platforms are making this choice easier, by bringing the best of both worlds.…
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Data technological fundamentals
Mapping and open data: understanding the bases for your business
Open data and data science today enable us to analyse geographical data by measuring interactions that could otherwise only be modelled with great difficulty. Demonstration.
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From the data lake to the agile data warehouse: decision-making in the big data era
How can the data lake be combined with a data warehouse that already serves as the real keystone of the business’s acquired holdings of structured data?
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Controlling (big) data quality with tagging
Whatever your business or industry, any Big Data platform includes multiple and fundamentally heterogeneous data sources including (most frequently) data from your transactional databases, from your CRM database and from other digital marketing data sources (analytics, campaigns, targeting et al.). Back to Big Data basics: digital data collection This particular component of the marketing ecosystem has got…
![Software is (still) eating the world [Partie 2]](https://orange-perspective.fac.to/wp-content/uploads/2021/02/marketing-still-eating-part2-cdp.jpg)
Data tutorials, tools and languages
View all contentsHow to develop and properly exploit the functionalities of Data tools and languages?
Querying, indexing, aggregating, updating, analyzing, etc. Our experts provide you with a concrete approach to the possibilities of applying and deploying the main Data tools and languages, through a series of tutorials.
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Data tutorials, tools and languages
Spark Structured Streaming: performance testing
Spark is an open source distributed computing framework that is more efficient than Hadoop, supports three main languages (Scala, Java and Python) and has rapidly carved out a significant niche in Big Data projects thanks to its ability to process high volumes of data in batch and streaming mode. Its 2.0 version introduced us to…
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Data tutorials, tools and languages
Spark Structured Streaming: from data transformation to unit testing
Spark is an open-source distributed computing framework that is more efficient than Hadoop, supports three main languages (Scala, Java and Python). It has rapidly carved out a significant niche in Big Data projects thanks to its ability to process high volumes of data in batch and streaming mode. Its 2.0 version introduced us to a…
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Data tutorials, tools and languages
Spark Structured Streaming: from data management to processing maintenance
Spark is an open source distributed computing framework that is more efficient than Hadoop, supports three main languages (Scala, Java and Python) and has rapidly carved out a significant niche in Big Data projects thanks to its ability to process high volumes of data in batch and streaming mode. Its 2.0 version introduced us to…
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Data Visualization
Color in Dashboarding: a Love-Hate relationship
When it’s time to add some colors in your dashboards, it can easily get complicated to make the good choice for an understandable result by all. Colors have a strong impact on your dashboard, they have a meaning and need to be used wisely for an effective result. In this on-demand webinar, Jean-Philippe Favre, Data…
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Data Visualization
How to create efficient data storytelling dashboards?
Designing dashboards today seems a very simple task, thanks to modern BI tools. However designing efficient dashboards that are useful and that people want to use is not the same story. A good dashboard must follow specific rules that our Data Artists experts explained in this webinar available in replay. How to tell Data-Stories in…
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Data tutorials, tools and languages
How to use the Python integrator in PowerBI?
The Python integration in Power BI is a huge step forward from Microsoft. It opens a wide range of possibilities in terms of extracting and cleaning your data as well as creating nice-looking and full customized visuals. Let’s see how it works and how to set-up your Python environment in your Power BI Desktop. As…
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[TUTORIAL] First steps with Zeppelin
Zeppelin is the ideal companion for any Spark installation. It is a notebook that allows you to perform interactive analytics on a web browser. You can execute Spark code and view the results in table or graph form. To find out more, follow the guide!
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Tutorial: How to Install a Hadoop Cluster
You have read many articles on Hadoop and now you want to get familiar with it, but how do you install and apply this new technology? The recommended approach is to install a turnkey virtualized machine supplied by a major publisher.
Technological solutions
View all contentsThe advent of the value of data has profoundly transformed uses in most areas, leading to a very rapid evolution of technological solutions in the sector. This growth is driven by the technological solutions in the Big Data universe.
Which technologies meet the challenges of your project? Data Mapping, Advanced Analytics, DataViz, discover an overview of the different technological solutions available and their applications.
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Data Strategy
Golden rules for businesses when moving to the Cloud
We already know why Cloud Data Platform are a new Eldorado for enterprises. Cloud Technology is accelerating companies in their digital transformation journey by offering an infinite scalability, a centered and shared data and an easy infrastructure maintenance for businesses. But let’s take a look a little bit deeper and ask ourselves what are the…
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Innovation
How Low-Code Application Platforms bring value to your business?
In a recent study, Gartner estimates that 65% of all applications development will be low code by 2024. Why Low Code Application Platform (LCAP) is revolutionizing digital transformation for companies? We discuss with our experts how this solution enable companies to deliver quicker with simplicity & agility. Our Orange Business Expert Podcast strives to answer…
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Technological solutions
How to accelerate your decision-making process with Tableau
Do you have lots of standalone files used for reporting? Are you spending a huge effort in producing and sharing reports across your organization? How could you ease the reporting process for your decision-makers? How to optimize your reporting life cycle With Tableau, we could optimize your reporting life cycle and bring visual analytics to…
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Technologies
How to build the next generation Data Lake? Technical Session
You might have worked on the same Data Warehouse for some time which makes it now more complicated to fit with the new needs and challenges you might have with the new technologies. So, it is maybe time to consider a change for you with a new generation Data Lake? If you consider switching to…
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Technological solutions
Measuring to take action: reducing greenhouse gas emissions through effective reporting
Greenhouse gas (GHG) emission reduction objectives, based on scientific work, are now being formalized in international treaties and the “carbon budget” notion is starting to gain State-level traction. However, even though companies are now obligated to submit reports on their GHG emissions to authorities, these practices remain poorly resourced and investment in the reporting process…
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Big Data, unleashing the potential of company archives
Whatever their size or business sector, enterprises are required to preserve certain documents for a given period. But how is Big Data changing document archiving?
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What if the Initial Promise of the Web was, in fact, a Lie?
The initial promise of digital, at the time when it is still called web, was simple, clear and unstoppable.
