ProjectPro

JANUARY 31, 2023

Want to know who is a business intelligence engineer, what does a business intelligence engineer do, and how these BI engineers turn mountains of data into actionable insights? Table of Contents What is a Business Intelligence Engineer? What Does a Business Intelligence Engineer Do? to reach $43.03 billion in 2028.

Business Intelligence 52

Business Intelligence Engineering BI Data Warehouse 52

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . The Data Scientist.

Banking 97

Banking Data Lake Data Data Warehouse 97

DataKitchen

AUGUST 19, 2021

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Below is a discussion of a data mesh implementation in the pharmaceutical space.

Pharmaceutical 98

Pharmaceutical Data Lake Data Warehouse Raw Data 98

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Process 98

Process Data Process Pharmaceutical Data Lake 98

phData: Data Engineering

JULY 12, 2022

Within data engineering , one of the most frequent tasks is modeling data into data marts and data products. Traditionally, if a company wanted to model some data, there were two types of resources available that could accomplish this: data engineers or data analysts. What Is Data Modeling?

SQL 52

SQL Data Engineering Data Engineer Data 52

ProjectPro

OCTOBER 18, 2021

Every final year student interested in pursuing a career in data science or machine learning must work on a hands-on project to experience a practical approach to how machine learning models are implemented and deployed in production. Sales forecasting helps business owners get a clear idea of what products are in demand.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Snowflake

SEPTEMBER 11, 2023

How experimenting with Dynamic Tables on Snowflake led to improvements in the Data Vault patterns. So what exactly are Dynamic Tables and where should they fit into your Data Vault architecture? We covered this in depth in a previous blog post. We have seen enormous interest in Dynamic Tables for Snowflake.

SQL 69

SQL Data Raw Data Architecture 69

Cloudera

JULY 11, 2023

Apache Impala and Apache Kudu make a great combination for real-time analytics on streaming data for time series and real-time data warehousing use cases. Cloudera offers Apache Kudu to run in Real Time DataMart Clusters , and Apache Impala to run in Kubernetes in the Cloudera Data Warehouse form factor. 20 or higher.

Data Warehouse 69

Data Warehouse Pharmaceutical BI Banking 69

Christophe Blefari

JUNE 9, 2023

Rethinking the newsletter ( credits ) Here's a new edition of the Data News newsletter. I can tease you that I'll create content about "Create a data platform in 2023", with live examples. The French version will be a bit different than Minds of data. Writing the newsletter was not an easy exercise.

Data 130

Data Government SQL Coding 130

ProjectPro

FEBRUARY 19, 2021

Regression analysis is the favorite of data science and machine learning practitioners as it provides a great level of flexibility and reliability making it an ideal choice for analyzing different situations like - Do educational degrees and IQ affect salary? Table of Contents What is Regression Analysis?

Machine Learning 40

Machine Learning Datasets Algorithm Data Science 40

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.

Engineering 81

Engineering Raw Data Data Science Scala 81

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Cloudera

AUGUST 17, 2021

When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. With Airflow based pipelines in DE, customers can now specify their data pipeline using a simple python configuration file.

Data Pipeline 110

Data Pipeline Management BI Business Intelligence 110

dbt Developer Hub

OCTOBER 11, 2022

The power of a semantic layer on top of a mature data modeling framework ​ As a longtime dbt Community member, I knew I had to get involved when I first saw the dbt Semantic Layer in the now infamous dbt should know about metrics Github Issue. To me, it felt like the opportunity to contribute to the next step of what dbt could become.

Designing 52

Designing Finance Datasets Coding 52

Knowledge Hut

JANUARY 24, 2024

Step into the realm of data visualization with a comprehensive exploration of Power BI and Tableau. In a world where data is important, deciding between power bi vs tableau can change your path in analyzing things. We want to assist you in choosing the best option for what you need. Utilizing Power BI is simple.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Cloudera

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. This is resulting in advancements of what is provided by the technology, and a resulting shift in the art of the possible. Ingest 100s of TB of network event data per day . Updates and deletes to ensure data correctness. 200,000 queries per day.

Data Warehouse 90

Data Warehouse Kafka Lambda Architecture Telecommunication 90

Maxime Beauchemin

AUGUST 28, 2017

This post follows up on The Rise of the Data Engineer , a recent post that was an attempt at defining data engineering and described how this new role relates to historical and modern roles in the data space. The data warehouse needs to reflect the business, and the business should have clarity on how it thinks about analytics.

Data Engineering 174

Data Engineering Data Engineer Engineering Software Engineer 174

Cloudera

NOVEMBER 25, 2020

The challenges Matthew and his team are facing are mainly about access to a multitude of data sets, of various types and sources, with ease and ad-hoc, and their ability to deliver data-driven and confident outcomes. . Most of their research data is unstructured and has a lot of variety. Challenges Ahead.

Data Warehouse 57

Data Warehouse Unstructured Data Medical Pharmaceutical 57

Cloudera

OCTOBER 26, 2017

Become more agile with business intelligence and data analytics. Many of us are all too familiar with the traditional way enterprises operate when it comes to on-premises data warehousing and data marts: the enterprise data warehouse (EDW) is often the center of the universe. Clouds (source: Pexels ).

Cloud 42

Cloud BI Cloud Storage Business Intelligence 42

Cloudera

NOVEMBER 5, 2020

Many organizations struggle to meet growing and variable data warehouse demands. How do you control data privacy and protect against data breaches when the data is spread across so many different systems? This is exactly what Cloudera Data Platform (CDP) provides to the Cloudera Data Warehouse.

Cloud 69

Cloud Data Lake Data Warehouse Metadata 69

DareData

AUGUST 12, 2021

Introduction "Data is the 21st century oil". If you work anywhere in the vicinity of data, odds are you've heard some variation of this statement at least once. The goal of this blog post is to hopefully shed some light on what a healthy data ecosystem looks like, so that you might explore your company's data to its full potential.

Transportation 52

Transportation Data Lake Data Warehouse Data 52

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. And you also already know siloed data is costly, as that means it will be much tougher to derive novel insights from all of your data by joining data sets.

IT 93

IT Data Lake Data Warehouse Cloud Storage 93

DareData

JULY 29, 2020

The Challenges of Medical Data In recent times, there have been several developments in applications of machine learning to the medical industry. Odds are that your local hospital, pharmacy or medical institution's definition of being data-driven is keeping files in labelled file cabinets, as opposed to one single drawer.

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-centric 52

Cloudera

DECEMBER 12, 2018

I would like to start off by asking you to tell us about your background and what kicked off your 20-year career in relational database technology? After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer. Greg Rahn: Sure.

Data Warehouse 41

Data Warehouse Relational Database Hadoop BI 41

ProjectPro

MAY 23, 2015

It takes in approximately $36 million dollars from across 4300 US stores everyday.This article details into Walmart Big Data Analytical culture to understand how big data analytics is leveraged to improve Customer Emotional Intelligence Quotient and Employee Intelligence Quotient. Table of Contents How Walmart uses Big Data?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Introduction to the Data Mesh Architecture and its Required Capabilities. Components of a Data Mesh.

Architecture 121

Architecture Metadata Government Kafka 121

Cloudera

JANUARY 11, 2021

Requests to Central IT for data warehousing services can take weeks or months to deliver. In data-driven organizations, to fulfill its charter to democratize data and provide on-demand, quality computing services in a secure, compliant environment, IT must replace legacy approaches and update technologies. billion dollars.’.

Data Warehouse 61

Data Warehouse Pharmaceutical Data Lake BI 61

DataKitchen

JUNE 24, 2021

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco. Data takes a long journey.

Pipeline-centric 84

Pipeline-centric Manufacturing Education Data Cleanse 84

ProjectPro

JULY 30, 2021

But what if you don’t have a machine learning portfolio because you are going to need diverse skills and projects under your belt to land a top machine learning gig. Data Description The dataset contains the following information about the products purchased by different users. Stock Code: This refers to the product ID.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

Cloudera

JULY 17, 2023

What We’ve Covered Throughout the One Big Cluster Stuck series we’ve explored impactful best practices to gain control of your Cloudera Data platform (CDP) environment and significantly improve its health and performance. Our data and analytics leaders meet monthly to evaluate our health improvement and log subjective measures.

Metadata 68

Metadata Government Data Governance Datasets 68

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52