Monte Carlo

FEBRUARY 21, 2023

Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. Table of Contents What is a data fabric?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Scott Logic

APRIL 22, 2024

One key business benefit from the SageMaker Canvas architecture is that the data you upload and the models you create will stay entirely under the control of your own AWS account, and is not shared with the foundational model’s provider in any way. Generative BI? Have Amazon succeeded?

BI 97

BI Software Engineer Software Engineering Algorithm 97

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. Iterations of the lakehouse.

Data Lake 90

Data Lake Data Warehouse BI SQL 90

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases. What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Data Engineering Podcast

MAY 22, 2022

Acryl Data provides DataHub as an easy to consume SaaS product which has been adopted by several companies. Signup for the SaaS product at dataengineeringpodcast.com/acryl RudderStack helps you build a customer data platform on your warehouse or data lake. Stop struggling to speed up your data lake.

Machine Learning 130

Machine Learning Data Engineering Data Engineer Cloud 130

Christophe Blefari

FEBRUARY 24, 2023

When it comes to data storage, the real-time ecosystem has also changed a lot in the last few years and a lot of tooling went out to simplify the burden of managing Kafka clusters, Materialize—a real-time platform—detailed their architecture. Data Economy 💰 Qbeast raises €2.5m

Kafka 130

Kafka Data Lake Data Storage Data 130

Data Engineering Podcast

AUGUST 20, 2021

Summary Data lakes have been gaining popularity alongside an increase in their sophistication and usability. Despite improvements in performance and data architecture they still require significant knowledge and experience to deploy and manage. No more scripts, just SQL. No more scripts, just SQL.

Building 100

Building Data Lake Data Warehouse SQL 100

Data Engineering Podcast

MAY 8, 2022

Acryl Data provides DataHub as an easy to consume SaaS product which has been adopted by several companies. Signup for the SaaS product at dataengineeringpodcast.com/acryl RudderStack helps you build a customer data platform on your warehouse or data lake. Start trusting your data with Monte Carlo today!

Database 100

Database Data Lake BI Business Intelligence 100

Data Engineering Podcast

DECEMBER 11, 2021

In order to make it easier for developers to build customer profiles in a way that respects their privacy Serge Huber helped to create the Apache Unomi framework as an open source customer data platform. Start trusting your data with Monte Carlo today! The data you’re looking for is already in your data warehouse and BI tools.

Data Warehouse 100

Data Warehouse Raw Data Data Lake BI 100

WeCloudData

OCTOBER 19, 2021

Conclusion WeCloudData helped a client build a flexible data pipeline to address the needs from multiple business units requiring different sets, views and timelines of job market data. The client intends to build on and improve this data pipeline by moving towards a more serverless architecture and adding DevOps tools & workflows.

Consulting 52

Consulting Raw Data Data Lake Data Pipeline 52

WeCloudData

OCTOBER 19, 2021

Conclusion WeCloudData helped a client build a flexible data pipeline to address the needs from multiple business units requiring different sets, views and timelines of job market data. The client intends to build on and improve this data pipeline by moving towards a more serverless architecture and adding DevOps tools & workflows.

Consulting 52

Consulting Raw Data Data Lake Data Pipeline 52

Data Engineering Podcast

SEPTEMBER 18, 2022

RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control.

Hospitality 100

Hospitality Food MongoDB Scala 100

Data Engineering Podcast

NOVEMBER 20, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! Hightouch is the easiest way to sync data into the platforms that your business teams rely on.

Data Warehouse 100

Data Warehouse Data Lake BI Business Intelligence 100

Data Engineering Podcast

DECEMBER 19, 2021

The team at Metaphor are building a fully connected metadata layer to provide both technical and social intelligence about your data. In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines.

Systems 100

Systems Building Metadata Data Warehouse 100

Data Engineering Podcast

OCTOBER 2, 2022

Mention the podcast to get a free "In Data We Trust World Tour" t-shirt. RudderStack helps you build a customer data platform on your warehouse or data lake. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability.

IT 100

IT Food PostgreSQL MongoDB 100

Towards Data Science

DECEMBER 15, 2023

Even the best of us sometimes demonize the parts of our organization whose primary goals are in the privacy and security area and conflict with our wishes to splash around in the data lake. In reality, data scientists are not always the heroes and IT and security teams are not the villains. You’re using the data, of course!

Machine Learning 93

Machine Learning Data Science Data Security Data Storage 93

Data Engineering Podcast

NOVEMBER 10, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! Hightouch is the easiest way to sync data into the platforms that your business teams rely on.

Metadata 100

Metadata Data Warehouse Data Lake BI 100

Monte Carlo

JUNE 28, 2022

To help organizations realize the full potential of their data lake and lakehouse investments, Monte Carlo, the data observability leader, is proud to announce integrations with Delta Lake and Databricks’ Unity Catalog for full data observability coverage. billion in 2020 to 17.60 billion in 2020 to 17.60

Data Lake 52

Data Lake Metadata AWS Data Warehouse 52

AltexSoft

FEBRUARY 11, 2023

To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Sample of a high-level data architecture blueprint for Azure BI programs.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

APRIL 25, 2023

Top Data Engineering Tools We've compiled a list of the top data engineering tools in 2023 that offer a range of functionalities, including data integration, processing, transformation, and visualization, to help data engineers extract actionable insights from data. Let’s take a look: 1.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Data Engineering Podcast

MARCH 22, 2021

Datafold helps Data teams gain visibility and confidence in the quality of their analytical data through data profiling, column-level lineage and intelligent anomaly detection. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

Data Warehouse 100

Data Warehouse Metadata Data Lake Hadoop 100

Cloudera

DECEMBER 19, 2018

Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data.

BI 52

BI Cloud Computing Data Warehouse Big Data 52

Data Engineering Podcast

SEPTEMBER 18, 2019

We have partnered with organizations such as O’Reilly Media, Dataversity, Corinium Global Intelligence, and Data Council. Upcoming events include the O’Reilly AI conference, the Strata Data conference, the combined events of the Data Architecture Summit and Graphorum, and Data Council in Barcelona.

Data Lake 100

Data Lake Hadoop BI Kafka 100

Knowledge Hut

DECEMBER 26, 2023

By referring to the following books, you will learn about various BI tools and operations like creating reports, tracking performance, managing data sources, etc. As a data scientist, you need to learn about various tools that will help you scale modern data systems.

Data Science 52

Data Science Scala Programming Language R (Programming) 52

Silectis

JANUARY 3, 2021

This data engineering glossary is by no means exhaustive, but should provide some foundational context and information. Advanced Analytics The process of discovering deeper insights in data than typically enabled by most business intelligence (BI) tools. Big Data Large volumes of structured or unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Data Engineering Podcast

NOVEMBER 26, 2023

In this episode Tobias Macey shares his thoughts on the challenges that he is facing as he prepares to build the next set of architectural layers for his data platform to enable a larger audience to start accessing the data being managed by his team. Data lakes are notoriously complex. With Materialize, you can!

Architecture 147

Architecture Data Lake High Quality Data SQL 147

Knowledge Hut

DECEMBER 28, 2023

An Azure Data Engineer is responsible for designing, implementing and managing data solutions on Microsoft Azure. The Azure Data Engineer certification imparts to them a deep understanding of data processing, storage and architecture. These equip us with the necessary skills and knowledge to excel.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Rockset

AUGUST 13, 2020

Originally published on July 8, 2020 Yesterday I read an analyst report that the serverless architecture market will be $21B by 2025. This is why the world is moving from cloud-hosted architecture to serverless architecture - its the next-generation of cloud infrastructure services that automates capacity planning, deployment and scaling.

BI 40

BI NoSQL Data Lake Architecture 40

Knowledge Hut

SEPTEMBER 26, 2023

We as Azure Data Engineers should have extensive knowledge of data modelling and ETL (extract, transform, load) procedures in addition to extensive expertise in creating and managing data pipelines, data lakes, and data warehouses. ETL activities are also the responsibility of data engineers.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Monte Carlo

FEBRUARY 15, 2023

Data quality issues plague even the healthiest data systems. And as pipelines become increasingly complex with the adoption of distributed platform architectures, you can bet that data quality issues are destined to multiply right along with them. COLUMN LEVEL LINEAGE ARCHITECTURE.

Data Validation 52

Data Validation Data Data Engineering Data Engineer 52

Monte Carlo

FEBRUARY 15, 2023

Data quality issues plague even the healthiest data systems. And as pipelines become increasingly complex with the adoption of distributed platform architectures, you can bet that data quality issues are destined to multiply right along with them. COLUMN LEVEL LINEAGE ARCHITECTURE.

Data Validation 52

Data Validation Data Data Engineering Data Engineer 52

Snowflake

AUGUST 16, 2023

Streaming and Continuous Pipelines & Data Onboarding Snowpipe Streaming – general availability Streaming pipelines are often challenging to build. Data comes in a continuous manner, and often a separate architecture is required to handle streaming data. Learn more here.

Scala 52

Scala Transportation Kafka Data Lake 52

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

FEBRUARY 16, 2023

This is a change from the traditional way of integrating data, which required a lot of computing processes and was limited to structured data stores. Overall, utilizing ETL architecture on AWS provides companies with a cost-efficient, scalable, and adaptable solution for processing large volumes of data.

AWS 52

AWS Data Management ETL Tools Management 52

ProjectPro

APRIL 2, 2018

News on Hadoop - March 2018 Kyvos Insights to Host Session "BI on Big Data - With Instant Response Times" at the Gartner Data and Analytics Summit 2018.PRNewswire.com, Source : [link] ) The data lake continues to grow deeper and wider in the cloud era.Information-age.com, March 5 , 2018.

Hadoop 40

Hadoop Data Lake Relational Database BI 40

Rockset

AUGUST 10, 2020

Traditional BI had its Renaissance moments with the advent of Big Data technologies such as Hadoop, and then cloud data lakes and warehouses have brought everyone to the Modern era. But these traditional BI tools are built for assisting strategic decision making at the executive level.

BI 40

BI Data Lake Hadoop SQL 40

ProjectPro

SEPTEMBER 26, 2021

The job titles differ as per the set of responsibilities applicable and other factors such as specific framework, architecture, tool, etc. To be eligible for this role, a professional shall have expert knowledge in any BI tools and skills in data warehousing and database architecture.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52