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Power BI Update October

Power BI Update – October

Since a few years, it was possible to use the function ‘Quick Measures’ to allow users to generate DAX instead of writing it by themself. It was a nice time-consuming function that helps a lot of Power BI developers. This month, Power BI came up with a new update based on creating measures. Quick Measure […]

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Prefect – orchestration at its finest

Built on shortcomings and possible improvement of other tooling in the market, Prefect is an open-source workflow management tool designed to orchestrate data stacks. With Prefect you can build, run, and monitor many different pipelines at a certain schedule.   // WHY There are two main reasons why orchestration tools have emerged: In the past, […]

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Airbyte & dbt: the modern data stack

  DBT and Airbyte complement each other perfectly. DBT enables analysts and engineers to easily and efficiently transform their data in their data warehouse environment, but the data first needs to be present in that environment. This is where Airbyte comes into the picture by enabling those same engineers and analysts to easily and reliably transfer data from […]

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Matillion

Matillion ETL is a cloud ELT solution purpose-built with cloud data warehouses like Snowflake, Azure Synapse and Google BigQuery in mind, with a separate custom version for each provider. The cloud native design with all data jobs running in your cloud environment offers maximum speed, scalability, and efficiency and is optimized for both resource and […]

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Vaultspeed

At DataSense, we believe building a data platform always starts with a well-defined plan. Custom-built solutions tend to be difficult to maintain and are especially not future proof. Therefore, we like to work with an open standard, namely Data Vault 2.0. This standard combines methodology with a modelling approach and architectural guidelines. Automation In Data Vault 2.0, […]

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Data Lineage as an asset to your data management

General Metadata management is the management of data about other data. It comprises, among other things, data modeling, data governance and metadata administration. In this piece, we will focus on data lineage, a key component in metadata management. Data lineage describes the complete data life cycle by providing insight in the data flow from start […]

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Bad data & Robot Framework

Challenge Companies dispose of enormous amounts of data, ranging from operational data over financial data, to benchmarks, social media data, … This data is then transformed into comprehensive reports to inform strategic decision-making processes. To ensure the accuracy and reliability that is expected of these reports, we must first ensure that the data itself is […]

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Does your data live in silo’s?

Challenge Companies collect enormous amounts of data over time going from operational data such as stock values, supplier data, orders,.. to financial data such as pricing, payments, bank statements, accounting,.. and even external information such as demographics, benchmarking data, social media,….Only a few legacy software companies supply an all-in-one package. These packages may give you […]

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The goalposts keep moving

Challenge Usually, business stakeholders are no data experts. They are primarily interested in getting valuable insights out of data, upon which they can take the appropriate actions. As a result, it is difficult for stakeholders to know what is possible until an analyst shows them. Furthermore, they have no idea about the effort it requires […]

Case

Bleckmann Cloud Data Platform

Bleckmann Bleckmann provides logistics solutions for fashion and lifestyle brands with a strong focus on e-commerce. These logistic solutions consist of multi-modal transport, customs services, omni-channel distribution, warehousing and added value services. In collaboration with their partners, they have 25 warehouses in four different countries on three different continents. To track and supply logistics services […]

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