Cloudera

APRIL 21, 2021

You can learn more about how we moved to CDP [ADD WEBINAR DETAILS]. The most important step in a successful upgrade to CDP Private Cloud Base is understanding your environment. Despite these challenges, we knew we wanted to go to CDP Private Cloud. In this blog, we discuss our journey to CDP for this critical cluster.

Cloud 119

Cloud Professional Services Java Data Warehouse 119

Cloudera

OCTOBER 29, 2020

At Cloudera, we set out to directly address these lifecycle challenges through the Cloudera Data Platform (CDP) — the only hybrid-cloud, multi-cloud enterprise data platform built for the full data lifecycle. . CDP Data Visualization Connects All Your Data Across the CDP Ecosystem.

Machine Learning 109

Machine Learning Unstructured Data Data Warehouse Government 109

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

Data Engineering Podcast

OCTOBER 9, 2018

Summary One of the most complex aspects of managing data for analytical workloads is moving it from a transactional database into the data warehouse. You work hard to make sure that your data is reliable and accurate, but can you say the same about the deployment of your machine learning models?

PostgreSQL 100

PostgreSQL BI Data Warehouse Machine Learning 100

Cloudera

AUGUST 30, 2022

Data Lakehouse: Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support artificial intelligence, business intelligence, machine learning, and data engineering use cases on a single platform. Towards Data Science ). Forrester ).

Data Architecture 78

Data Architecture Architecture Data Lake NoSQL 78

Data Engineering Weekly

MARCH 10, 2024

Pradheep Arjunan - Shared insights on AZ's journey from on-prem to the cloud data warehouses. Google: Croissant- a metadata format for ML-ready datasets Google Research introduced Croissant, a new metadata format designed to make datasets ML-ready by standardizing the format, facilitating easier use in machine learning projects.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Data Engineering Weekly

FEBRUARY 19, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Join our webinar to learn how you can replace GA with analytics on your data cloud.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Data Engineering Weekly

DECEMBER 4, 2022

The author narrates why the data models are still important for managing data assets' structure, content, and relationships but also need to keep agility in mind to bring business velocity. The article highlights the challenges of maintaining data models in a world where SQL data warehouses are no longer the primary data platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

DECEMBER 21, 2023

What is Data Engineering? Data engineering is the method to collect, process, validate and store data. It involves building and maintaining data pipelines, databases, and data warehouses. The purpose of data engineering is to analyze data and make decisions easier.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. This can be easier when you are using existing cloud services.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

JANUARY 24, 2024

Data Visualization Tableau allows its users to customize dashboards specifically for devices. Machine Learning Tableau supports Python machine learning features. Connectivity with Live and In-Memory Data Allows the user to freely combine data from several types of data sources.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Cloudera

DECEMBER 14, 2020

We’ve seen organizations invest in big data solutions, and now, we’ve increasingly seen them want to build on that investment and move towards building a modern architecture that’ll help them leverage stream processing and streaming analytics. Cloudera Data Platform (CDP) is the new data cloud built for the enterprise.

Process 70

Process Kafka Government Big Data 70

Monte Carlo

JUNE 14, 2023

Some organizations choose to still leverage an ETL pattern in the cloud, particularly for production pipelines where data contracts can help reduce data downtime. Data could now be extracted and loaded prior to being transformed for its ultimate use.

Data Pipeline 52

Data Pipeline Architecture Data Lake 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

Cloudera

DECEMBER 20, 2022

McKinsey estimates that the use of data-driven technologies can drive operating and maintenance cost savings of more than 12%. For example, predictive maintenance, based on machine learning, will enable utility companies to take preventative action that avoids large-scale power outages and costs.

Data Analytics 81

Data Analytics Retail Machine Learning Recruitment 81

Data Engineering Weekly

FEBRUARY 26, 2023

[link] Matt Turck: The 2023 MAD (Machine Learning, Artificial Intelligence & Data) Landscape It’s time for Matt’s 2023 MAD landscape with 1,416 logos, up from 139 in 2012. Perhaps merge Data LakeHouse & Data Warehouse in the next edition? The gap is blurring between them.

Data Engineering 57

Data Engineering Data Engineer Engineering Raw Data 57

Cloudera

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. What is Real Time Data Warehousing?

Data Warehouse 94

Data Warehouse Kafka Lambda Architecture Telecommunication 94

Cloudera

JULY 14, 2023

While these instructions are carried out for Cloudera Data Platform (CDP), Cloudera Data Engineering, and Cloudera Data Warehouse, one can extrapolate them easily to other services and other use cases as well. CONS This will trigger a full read and write of the data and it might be an expensive operation.

Metadata 70

Metadata Data Warehouse Big Data Ecosystem Java 70

Databand.ai

DECEMBER 29, 2022

He recently joined Databand’s MAD Data Podcast to talk about how his team is building one of the most advanced experimentation and machine learning platforms in the world from the ground up. Her primary focus areas are data science, data governance, artificial intelligence, advanced analytics, and multi-cloud product offerings.

BI 52

BI Consulting Data Science Data Governance 52

Cloudera

MAY 22, 2018

With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. In addition to cloud options, customers can now deploy on premises with Oracle Linux 7.4 (for for the Oracle Big Data Appliance).

Data Science 41

Data Science Machine Learning Metadata Big Data 41

AltexSoft

NOVEMBER 7, 2022

So you can quickly link to many popular databases, cloud services, and other tools — such as MySQL, PostgreSQL, HDFS ( Hadoop distributed file system), Oracle, AWS, Google Cloud, Microsoft Azure, Snowflake, Slack, Tableau , and so on. The Good and the Bad of Power BI Data Visualization. How to get started with Apache Airflow?

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

Monte Carlo

MAY 17, 2023

Differentiate Data Products 25. Keep Critical Machine Learning Algorithms Online 27. Data Warehouse (Or Lakehouse) Migration 34. Integrate Data Stacks Post Merger 35. This impacted machine learning algorithms and dashboards used for real-time decision making. Improve Marketing Campaigns 23.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Differentiate Data Products 25. Keep Critical Machine Learning Algorithms Online 27. Data warehouse (or Lakehouse) migration 34. Integrate Data Stacks Post Merger 35. This impacted machine learning algorithms and dashboards used for real-time decision making. Improve Marketing Campaigns 23.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52