Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? What is data pipeline architecture? Why is data pipeline architecture important?

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Cloudera

AUGUST 30, 2022

Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Deploying modern data architectures. Lack of sharing hinders the elimination of fraud, waste, and abuse. Forrester ).

Data Architecture 78

Data Architecture Architecture Data Lake NoSQL 78

Knowledge Hut

OCTOBER 30, 2023

Ever wondered why Power BI developers are widely sought after by businesses all around the world? 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.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Data Engineering Podcast

AUGUST 27, 2021

By making the software be the owner of the data that it generates, we have to go through the trouble of extracting the information to then be used elsewhere. The team at Cinchy are working to bring about a new paradigm of software architecture that puts the data as the central element. No more scripts, just SQL.

Data Integration 100

Data Integration Architecture Data Warehouse Data Lake 100

Monte Carlo

JANUARY 23, 2023

When it comes to the data community, there’s always a debate broiling about something— and right now “data mesh vs data lake” is right at the top of that list. 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.

Data Lake 52

Data Lake Unstructured Data Business Intelligence Architecture 52

Cloudera

SEPTEMBER 9, 2022

The promise of a modern data lakehouse architecture. Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested.

Architecture 100

Architecture Metadata Unstructured Data Machine Learning 100

AltexSoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Data warehouse vs data lake vs data lakehouse: What’s the difference.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

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 92

Data Lake Data Warehouse BI SQL 92

Cloudera

JANUARY 11, 2021

They often don’t realize that infrastructure for BI must be scalable and shared with external partners who need to collaborate on projects. . How self-service data warehousing frees IT resources. Cloudera Data Warehouse (CDW) is a cloud service and an integral part of the newly released Cloudera Data Platform (CDP).

Data Warehouse 62

Data Warehouse Pharmaceutical Data Lake BI 62

Data Engineering Podcast

JANUARY 15, 2023

Monte Carlo monitors and alerts for data issues across your data warehouses, data lakes, dbt models, Airflow jobs, and business intelligence tools, reducing time to detection and resolution from weeks to just minutes. Start trusting your data with Monte Carlo today!

Coding 130

Coding Building PostgreSQL Data Lake 130

AltexSoft

SEPTEMBER 23, 2021

One of the innovative ways to address this problem is to build a data hub — a platform that unites all your information sources under a single umbrella. This article explains the main concepts of a data hub, its architecture, and how it differs from data warehouses and data lakes. What is Data Hub?

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

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

ProjectPro

JANUARY 31, 2022

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Monte Carlo

JANUARY 25, 2023

When it comes to the question of building or buying your data stack, there’s never a one-size-fits-all solution for every data team—or every component of your data stack. Data storage and compute are very much the foundation of your data platform. Let’s jump in! So, let’s take a look at each in a bit more detail.

Data Warehouse 40

Data Warehouse Building Data Lake Data Storage 40

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 Often they are right.

Kafka 130

Kafka Data Lake Data Storage Data 130

Knowledge Hut

APRIL 25, 2024

A business intelligence dashboard can be defined as an analysis tool that displays data from numerous sources on one screen. BI dashboards give businesses the tools to track essential performance indicators and streamline operations to meet their objectives. Who needs a BI reporting dashboard anyways?

Business Intelligence 52

Business Intelligence BI Raw Data Data Lake 52

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

RandomTrees

NOVEMBER 29, 2023

So, here the argument on what to use and where to use become an important topic to be considered and here we can rather focus on some of the adaptable and sensitive models and we begin to consider the data vaults’ technique. So, what is a data vault model or modelling approach?

Data Warehouse 52

Data Warehouse Data Lake Database-centric Data Cleanse 52

Towards Data Science

APRIL 26, 2023

An open-source implementation of a Data Lake with DuckDB and AWS Lambdas A duck in the cloud. Plus, we will put together a design that minimizes costs compared to modern data warehouses, such as Big Query or Snowflake. A lightinign fast analytics app built with our system. Image from the authors.

Engineering 67

Engineering Data Lake AWS BI 67

Monte Carlo

MAY 31, 2022

Metadata from the data warehouse/lake and from the BI tool of record can then be used to map the dependencies between the tables and dashboards. We use a homegrown data collector to grab our customers’ SQL logs from their data warehouse or lake, stream the data to different components of our data pipelines.

Data Lake 52

Data Lake Building Scala Metadata 52

Monte Carlo

JANUARY 12, 2023

For Freshly, food isn’t the only thing that needs to be delivered fresh and fast; our data also needs to be reliable, timely, and most importantly, accurate. Our modern data platform architecture story at Freshly started almost four years ago. Also, Snowflake scalability and features like data sharing were very attractive.

Architecture 52

Architecture Building Data Warehouse BI 52

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

Cloudera

JUNE 30, 2022

Over the past decade, Cloudera has enabled multi-function analytics on data lakes through the introduction of the Hive table format and Hive ACID. 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.

Data Lake 86

Data Lake Business Intelligence Metadata Data Warehouse 86

AltexSoft

MARCH 30, 2023

It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data. The relatively new storage architecture powering Databricks is called a data lakehouse. Databricks lakehouse platform architecture.

Scala 64

Scala Data Lake BI Google Cloud 64

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. Cloudera Data Warehouse (CDW) is here to save the day! CDW is an integrated data warehouse service within Cloudera Data Platform (CDP).

IT 93

IT Data Lake Data Warehouse Cloud Storage 93

Snowflake

AUGUST 10, 2023

But when the company started to experience rapid growth, it noticed performance issues with its data architecture. “ We had a very big data lake consisting of hundreds of different data sources, and the performance wasn’t good,” said Harm Bodewes, Head of Analytics at Bynder. “We

Cloud 52

Cloud Building Amazon Web Services BI 52

Towards Data Science

FEBRUARY 15, 2023

In this context, data management in an organization is a key point for the success of its projects involving data. One of the main aspects of correct data management is the definition of a data architecture. What is Delta Lake? The data became useless. The Lakehouse architecture was one of them.

Data Lake 77

Data Lake Data Warehouse Hadoop Data Architecture 77

Data Engineering Podcast

JUNE 17, 2021

Summary Working with unstructured data has typically been a motivation for a data lake. Kirk Marple has spent years working with data systems and the media industry, which inspired him to build a platform for automatically organizing your unstructured assets to make them more valuable. No more scripts, just SQL.

Unstructured Data 100

Unstructured Data Data Warehouse Metadata Media 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

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

AltexSoft

MARCH 14, 2023

As the volume and complexity of data continue to grow, organizations seek faster, more efficient, and cost-effective ways to manage and analyze data. In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support.

IT 59

IT Data Warehouse Data Governance Data Lake 59

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

Cloudera

FEBRUARY 8, 2024

Apache Iceberg forms the core foundation for Cloudera’s Open Data Lakehouse with the Cloudera Data Platform (CDP). Materialized views are valuable for accelerating common classes of business intelligence (BI) queries that consist of joins, group-bys and aggregate functions. Such a query pattern is quite common in BI queries.

Metadata 90

Metadata Data Warehouse BI AWS 90

Monte Carlo

AUGUST 19, 2023

We’ll cover: What is a data platform? Data-first companies have embraced data platforms as an effective way to aggregate, operationalize, and democratize data at scale across the organization. Snowflake, a cloud data warehouse, is a popular choice among data teams when it comes to quickly scaling up a data platform.

Building 52

Building BI Data Lake Data Governance 52

Data Engineering Podcast

NOVEMBER 25, 2018

Summary When your data lives in multiple locations, belonging to at least as many applications, it is exceedingly difficult to ask complex questions of it. The default way to manage this situation is by crafting pipelines that will extract the data from source systems and load it into a data lake or data warehouse.

Data Lake 100

Data Lake Data Warehouse Hadoop BI 100

Towards Data Science

JULY 24, 2023

A data engineering manager at a Fortune 500 company expressed the pain of on-prem limitations to me by saying: “Our analysts were unable to run the queries they wanted to run when they wanted to run them. Take data governance for example. However in most cases, your data warehouse or managed data lakehouse will scale just fine.

Metadata 95

Metadata Data Warehouse Data Lake Data Science 95

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