Edureka

APRIL 22, 2025

Its multi-cluster shared data architecture is one of its primary features. Snowflake: Architecture Microsoft Fabric Architecture Azure is the foundation of Microsoft Fabric, a Software-as-a-Service (SaaS) data platform. Ideal for: Snowflake works better when working with data from multiple organizations.

BI 52

BI Pipeline-centric Data Lake Google Cloud 52

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI.

Metadata 84

Metadata BI Data Lake Business Intelligence 84

Advancing Analytics: Data Engineering

JULY 2, 2019

It’s not always the most accurate indicator, but a quick glance at google trends sees Data Engineer rocketing in popularity, compared to more traditional functions such as BI and ETL Developer: google trends Now, that’s not saying that the other roles are going away, not by a long stretch.

Business Intelligence 52

Business Intelligence Data Engineer Data Engineering Engineering 52

ProjectPro

JUNE 6, 2015

In an era of digital transformation of enterprises, there are several questions that have arisen- How can business intelligence provide real time insights? How can business intelligence scale and analyse the growing data heap? How can business intelligence meet changing business needs?

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 40

Snowflake

JUNE 21, 2024

“Apache Iceberg’s large and diverse ecosystem of contributors and products made it a clear choice for us to provide an open and common data layer across our internal and external ecosystem,” said Thomas Davey, Chief Data Officer of Booking.com. Iceberg also allows you to perform atomic transactions on your data lake.

Data Lake 124

Data Lake BI Business Intelligence Metadata 124

Edureka

APRIL 14, 2025

This blog breaks down how these tools complement and differ from one another to help you identify the best fit for your business. Understanding the Tools One platform is designed primarily for business intelligence, offering intuitive ways to connect to various data sources, build interactive dashboards, and share insights.

BI 40

BI Business Intelligence Raw Data Retail 40

Edureka

APRIL 9, 2025

Learning a tool is only one aspect of becoming a Microsoft Fabric Engineer; another is preparing for a future in which AI, business intelligence, and data engineering coexist. Data Analytics: Capability to effectively use tools and techniques for analyzing data and drawing insights.

Engineering 40

Engineering Data Ingestion Data Lake Programming Language 40

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. The past decades of enterprise data platform architectures can be summarized in 69 words. Introduction to Data Mesh. Source: Thoughtworks.

Pharmaceutical 98

Pharmaceutical Data Lake Data Architecture Architecture 98

Cloudera

JUNE 30, 2022

Companies, on the other hand, have continued to demand highly scalable and flexible analytic engines and services on the data lake, without vendor lock-in. Organizations want modern data architectures that evolve at the speed of their business and we are happy to support them with the first open data lakehouse. .

Data Lake 88

Data Lake Business Intelligence Metadata Data Warehouse 88

Towards Data Science

DECEMBER 4, 2023

Anyways, I wasn’t paying enough attention during university classes, and today I’ll walk you through data layers using —  guess what  —  an example. Business Scenario & Data Architecture Imagine this: next year, a new team on the grid, Red Thunder Racing, will call us (yes, me and you) to set up their new data infrastructure.

Data Engineer 98

Data Engineer Data Engineering Engineering Data Lake 98

Data Engineering Podcast

JULY 3, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Architecture 100

Architecture Metadata MongoDB MySQL 100

Cloudera

DECEMBER 1, 2023

Open-source solutions like Cloudera Data Flow and Open Data Lakehouse provide the necessary infrastructure and tools for governments to build and deploy trustworthy AI solutions at scale. The post Building Trust in Public Sector AI Starts with Trusting Your Data appeared first on Cloudera Blog.

Building 109

Building Government Transportation Data Governance 109

phData: Data Engineering

FEBRUARY 21, 2025

A data warehouse acts as a single source of truth for an organization’s data, providing a unified view of its operations and enabling data-driven decision-making. A data warehouse enables advanced analytics, reporting, and business intelligence.

Cloud 52

Cloud Data Warehouse Amazon Web Services Data Ingestion 52

DataKitchen

NOVEMBER 5, 2024

This architecture is valuable for organizations dealing with large volumes of diverse data sources, where maintaining accuracy and accessibility at every stage is a priority. It sounds great, but how do you prove the data is correct at each layer? How do you ensure data quality in every layer ?

Architecture 78

Architecture Raw Data Pipeline-centric Data Ingestion 78

Cloudera

AUGUST 21, 2024

This year, we’re excited to share that Cloudera’s Open Data Lakehouse 7.1.9 release was named a finalist under the category of Business Intelligence and Data Analytics.

Unstructured Data 66

Unstructured Data Business Intelligence Data Architecture Data Warehouse 66

Towards Data Science

OCTOBER 25, 2023

Not too long ago, almost all data architectures and data team structures followed a centralized approach. As a data or analytics engineer, you knew where to find all the transformation logic and models because they were all in the same codebase. Your organization may be undergoing the decentralization of data.

Data Pipeline 98

Data Pipeline SQL Data Architecture Data 98

AltexSoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Snowflake

NOVEMBER 2, 2023

And, since historically tools and commercial platforms were often designed to align with one specific architecture pattern, organizations struggled to adapt to changing business needs – which of course has implications on data architecture.

Data Lake 115

Data Lake Data Warehouse Cloud Unstructured Data 115

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 94

Data Lake Data Warehouse BI SQL 94

Cloudera

JULY 12, 2022

The latest developments in the cloud space are pushing existing boundaries, especially now with how machine learning and AI are transforming business intelligence. Being able to uncover the full potential of what tech can do has always been an aspect that excites me.

Cloud 107

Cloud Business Intelligence Machine Learning Data Architecture 107

Knowledge Hut

OCTOBER 30, 2023

For any organization to grow, it requires business intelligence reports and data to offer insights to aid in decision-making. This data and reports are generated and developed by Power BI developers. A power BI developer has a crucial role in business management. The answer to this is simple.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

AltexSoft

OCTOBER 30, 2021

Such visualizations as graphs and charts are typically prepared by data analysts or business analysts, though not every project has those people employed. Then, a data scientist uses complex business intelligence tools to present business insights to executives. Providing data access tools.

Data Engineer 98

Data Engineer Data Engineering Engineering Machine Learning 98

Cloudera

DECEMBER 19, 2018

Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

BI 52

BI Cloud Computing Data Warehouse Big Data 52

Striim

SEPTEMBER 11, 2024

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Knowledge Hut

DECEMBER 26, 2023

Let us first get a clear understanding of why Data Science is important. What is the need for Data Science? If we look at history, the data that was generated earlier was primarily structured and small in its outlook. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets.

Data Engineer 98

Data Engineer Data Engineering Engineering Hadoop 98

Cloudera

AUGUST 28, 2018

However, this year, it is evident that the pace of acceleration to modern data architectures has intensified. David Stodder , Senior Director, Research for Business Intelligence, TDWI. .” – Cornelia Levy-Bencheton. Every year, the caliber of submissions goes up many notches. Manjeet Rege , Ph.D.,

Pharmaceutical 65

Pharmaceutical Telecommunication Consulting Food 65

Monte Carlo

JANUARY 23, 2023

In this post we compare and contrast the data mesh vs data lake to illustrate the benefits of each and help discover what’s right for your data platform. In a self-service data landscape, every team wants their business intelligence served up hot and fast. But data mesh may just offer a solution.

Data Lake 52

Data Lake Architecture Business Intelligence Unstructured Data 52

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

Architecture 52

Architecture Database-centric Process BI 52

Pipeline Data Engineering

OCTOBER 8, 2021

M: When starting a new job, you have to learn the whole data architecture of your new company as quickly as possible and as well as you can. The team that I joined, maintains and improves the ETL and the data warehouse. We also develop our own business intelligence tool.

Data Warehouse 52

Data Warehouse Business Intelligence Portfolio Data Science 52

Knowledge Hut

MAY 3, 2024

A new breed of ‘Fast Data’ architectures has evolved to be stream-oriented, where data is processed as it arrives, providing businesses with a competitive advantage. Dean Wampler (Renowned author of many big data technology-related books) Dean Wampler makes an important point in one of his webinars.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Precisely

MARCH 14, 2023

And the desire to leverage those technologies for analytics, machine learning, or business intelligence (BI) has grown exponentially as well. We optimize these products for use cases and architectures that will remain business-critical for years to come. What does all this mean for your business?

Data Integration 52

Data Integration High Quality Data BI Data 52

Silectis

JANUARY 3, 2021

If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. Big Data Large volumes of structured or unstructured data.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Monte Carlo

NOVEMBER 22, 2022

SeatGeek’s data challenges How SeatGeek improved data quality at scale Results of implementing data observability The future of data at SeatGeek SeatGeek’s data landscape As an online ticketing marketplace with distributed business intelligence needs, data quality plays a big part in SeatGeek’s day-to-day operations.

Data 52

Data BI Data Architecture Business Intelligence 52

Monte Carlo

JULY 30, 2020

But what is a data mesh and why should you build one? In the age of self-service business intelligence , nearly every company considers themselves a data-first company, but not every company is treating their data architecture with the level of democratization and scalability it deserves.

IT 45

IT Data Lake Architecture Data Architecture 45

phData: Data Engineering

DECEMBER 20, 2022

The cloud also democratizes access to data, whereas on-premises databases tend to restrict access and create silos. With easier access to data, your organization is more likely to perform analytics , use business intelligence tools, or run machine learning algorithms that would be harder to support with a conventional data model.

Cloud 52

Cloud Database-centric Data Data Warehouse 52

Knowledge Hut

JUNE 23, 2023

Go for the best courses for Data Engineering and polish your big data engineer skills to take up the following responsibilities: You should have a systematic approach to creating and working on various data architectures necessary for storing, processing, and analyzing large amounts of data.

Data Engineer 52

Data Engineer Data Engineering Engineering NoSQL 52

RandomTrees

SEPTEMBER 27, 2024

Data Factory, Data Activator, Power BI, Synapse Real-Time Analytics, Synapse Data Engineering, Synapse Data Science, and Synapse Data Warehouse are some of them. With One Lake serving as a primary multi-cloud repository, Fabric is designed with an open, lake-centric architecture.

Database-centric 52

Database-centric Pipeline-centric IT BI 52