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 79

Data Analytics Retail Machine Learning Recruitment 79

Knowledge Hut

NOVEMBER 28, 2023

Data Pipelines Data lakes continue to get new names in the same year, and it becomes imperative for data engineers to supplement their skills with data pipelines that help them work comprehensively with real-time streams, daily occurrence raw data, and data warehouse queries.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

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

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. Watch our webinar Supercharge Your Analytics with Open Data Lakehouse Powered by Apache Iceberg.

Metadata 69

Metadata Data Warehouse Big Data Ecosystem Java 69

Cloudera

DECEMBER 21, 2020

Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Machine Learning Workspace exists . A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist.

Banking 97

Banking Data Lake Data Data Warehouse 97

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. To see the new capabilities in action, join our webinar on 13 June 2018. For existing Cloudera customers , CDSW Release 1.4

Data Science 41

Data Science Machine Learning Metadata Big Data 41

Cloudera

APRIL 3, 2023

In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. Cloudera Data Warehouse added support for the most recent format version of Iceberg in its latest release.

Data Warehouse 79

Data Warehouse Metadata Java Data 79

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

Data Warehouse 58

Data Warehouse Cloud Data Architecture 58

Cloudera

OCTOBER 29, 2020

From our release of advanced production machine learning features in Cloudera Machine Learning, to releasing CDP Data Engineering for accelerating data pipeline curation and automation; our mission has been to constantly innovate at the leading edge of enterprise data and analytics.

Machine Learning 106

Machine Learning Unstructured Data Data Warehouse Government 106

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

Cloudera

DECEMBER 15, 2022

New capabilities such as multi-cloud deployment, ACID compliance, and enhanced multi-function analytics accelerate implementation for the multi-cloud open data lakehouse to meet ever-evolving requirements for modern data warehouse, data lake, AI/ML, data science, and more. . Enhanced multi-function analytics.

Cloud 76

Cloud Metadata Google Cloud Data Warehouse 76

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 76

Data Architecture Architecture Data Lake NoSQL 76

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

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

Cloudera

JULY 13, 2023

To learn more: For more on Iceberg manifest caching configuration in In Cloudera Data Warehouse (CDW), please refer to [link]. Watch our webinar Supercharge Your Analytics with Open Data Lakehouse Powered by Apache Iceberg. It includes a live demo recording of Iceberg capabilities.

Metadata 69

Metadata Java PostgreSQL Data Warehouse 69

Monte Carlo

JUNE 14, 2023

The modern data stack era , roughly 2017 to present data, saw the widespread adoption of cloud computing and modern data repositories that decoupled storage from compute such as data warehouses, data lakes, and data lakehouses.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Cloudera

DECEMBER 14, 2020

CDP provides additional analytics capabilities with Cloudera Machine Learning to create algorithms for predictive analytics, Cloudera Data Warehouse to power business reports and other data-driven analytics. He will explain each step of the way to help you get onto CDP.

Process 68

Process Kafka Government Big Data 68

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 91

Data Warehouse Kafka Lambda Architecture Telecommunication 91

Cloudera

APRIL 21, 2021

This cluster runs workloads for every department – from real-time user interfaces for Support to providing recommendations in the Cloudera Data Platform (CDP) Upgrade Advisor to analyzing our business and closing our books. You can learn more about how we moved to CDP [ADD WEBINAR DETAILS].

Cloud 118

Cloud Professional Services Java Data Warehouse 118

DataKitchen

NOVEMBER 20, 2021

There is complexity in data flows that cut across so many different structures that we can’t possibly anticipate everything that will go wrong. Consider a machine learning example. Let’s say a data scientist has developed a model that works perfectly with training data. There are always going to be surprises.

Engineering 98

Engineering Machine Learning Data Engineering Data Engineer 98

AltexSoft

NOVEMBER 7, 2022

Airflow 101: Essential Tips for Beginners is a webinar by Astronomer to introduce key concepts and components of the platform as well as best practices for working with it. The Good and the Bad of Power BI Data Visualization. The Good and the Bad of Hadoop Big Data Framework. The Good and the Bad of Snowflake Data Warehouse.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

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. On LinkedIn, he posts regularly about AI, data, data science, data engineering, and machine learning.

BI 52

BI Consulting Data Science Data Governance 52

Monte Carlo

MARCH 28, 2024

For example, when you think about a data warehouse , it’s really just a codebase—primarily composed of SQL—that’s serving internal customers like other analysts, data scientists, and product managers who are using that data to go and make business decisions.

Data 52

Data High Quality Data Machine Learning Accessible 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