RandomTrees

SEPTEMBER 27, 2024

With One Lake serving as a primary multi-cloud repository, Fabric is designed with an open, lake-centric architecture. You can use Copilot to build reports, summarize insights, build pipelines, and develop ML models. This preview will roll out in stages.

Database-centric 52

Database-centric Pipeline-centric IT BI 52

Knowledge Hut

NOVEMBER 15, 2023

Looking for a position to test my skills in implementing data-centric solutions for complicated business challenges. Example 6: A well-qualified Cloud Engineer is looking for a position responsible for developing and maintaining automated CI/CD and deploying pipelines to support platform automation.

Finance 98

Finance Certification Database-centric Business Intelligence 98

Monte Carlo

JULY 15, 2024

In this post, we’ll dive into the world of data ownership, exploring how this new breed of professionals is shaping the future of business intelligence and why, in the coming years, the success of your data strategy may hinge on the effectiveness of your data owners. Table of Contents What is a Data Owner?

Pipeline-centric 52

Pipeline-centric Government Data Governance Retail 52

Databand.ai

DECEMBER 20, 2022

Follow Ken on LinkedIn 7) Michael Dillon Senior Business Intelligence Developer Michael is a Senior BI Developer at an English football club and the author of How to Get a Job in Data Analytics. On LinkedIn, he shares his point of view around open source, data analytics, business intelligence, and data engineering.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

Knowledge Hut

SEPTEMBER 26, 2023

This cloud-centric approach ensures scalability, flexibility, and cost-efficiency for your data workloads. Third-Party Integrations: Databricks offers connectors and integrations with popular third-party tools and services, including business intelligence (BI) platforms, data visualization tools, and machine learning frameworks.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Monte Carlo

JANUARY 23, 2024

Gen AI can whip up serviceable code in moments — making it much faster to build and test data pipelines. Embedding conversational AI capabilities into business intelligence products is an example of a good starting point. Can I see the pipeline? Those who don’t embrace it will be left behind. Can I see the data source?’”

Database-centric 52

Database-centric Pipeline-centric Metadata Unstructured Data 52

Databand.ai

DECEMBER 29, 2022

Mico’s ability to help companies gain ROI from their business intelligence investments has been sought out by Fortune 500 companies. Vin is also a course instructor at HROI Certification Training, teaching courses in data and AI technical strategy, value-centric data, and transitioning from a tactical to strategic mindset.

BI 52

BI Consulting Data Science Data Governance 52

phData: Data Engineering

JULY 18, 2023

This typically results in long-running ETL pipelines that cause decisions to be made on stale or old data. Business-Focused Operation Model: Teams can shed countless hours of managing long-running and complex ETL pipelines that do not scale. This enables an automated continuous integration/continuous deployment system (CI/CD).

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Airbnb Tech

JUNE 1, 2021

Furthermore, pipelines built downstream of core_data created a proliferation of duplicative and diverging metrics. Prior to Minerva, all such metadata often existed only as undocumented institutional knowledge or in chart definitions scattered across various business intelligence tools. Stay tuned for our next post !

Datasets 52

Datasets Pipeline-centric Metadata Data Science 52

RandomTrees

NOVEMBER 29, 2023

In this choice, Big Data will play an important role and its choice is also inevitably crucial in the Business Intelligence and related systems. Here the practice of data warehousing and warehouse system is very important and the use of right modelling techniques has become a very important factor in todays’ competitive world.

Data Warehouse 52

Data Warehouse Data Lake Database-centric Data Cleanse 52

Knowledge Hut

JANUARY 30, 2024

Customer Interaction Data: In customer-centric industries, extracting data from customer interactions (e.g., This stage empowers organizations to combine an array of data types, paving the way for comprehensive data mining and business intelligence. In transformation, data is meticulously organized, sorted, and cleansed.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

AltexSoft

JULY 18, 2023

With its native support for in-memory distributed processing and fault tolerance, Spark empowers users to build complex, multi-stage data pipelines with relative ease and efficiency. On the other hand, this dependence on external storage systems can add an extra layer of complexity when integrating Spark into a data pipeline.

Big Data 52

Big Data Data Process Process Hadoop 52

Monte Carlo

DECEMBER 7, 2022

We’ve been able to move away from being the typical order taker into being a trusted business partner in the journey of building scalable and reliable solutions for the business.” How does Rob know this customer-centric approach is working? Next, they plan to onboard and integrate with a next-gen business intelligence tool.

Building 52

Building Pipeline-centric Data Data Programming 52

Data Engineering Weekly

JANUARY 26, 2025

The article discusses common pitfalls such as absence bias and intervention bias while advocating for a user-centric approach that emphasizes evaluating retrieval accuracy through precision and recall, focusing on recall. link] BlaBlaCar: Data Pipelines Architecture at BlaBlaCar BlaBlaCar writes about its data pipeline architecture.

Data Engineering 57

Data Engineering Data Engineer Pipeline-centric Engineering 57