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
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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...
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...
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?...
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.
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?
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...
Data tutorials, tools and languages
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TUTORIEL | 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...
TUTORIEL | 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...
TUTORIEL | 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...
REPLAY | 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...
REPLAY | 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...
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...
![[TUTORIAL] First steps with Zeppelin](https://en.blog.businessdecision.com/wp-content/uploads/2016/11/premiers-pas-zeppelin.png)
[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...
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...
Technological solutions
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PODCAST | 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...
PODCAST | 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?...
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...
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...
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...
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?
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.
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