ProjectPro

AUGUST 11, 2021

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. Data Warehouse Architecture What is a Data lake?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Cloudera

MARCH 31, 2021

CDP Public Cloud is now available on Google Cloud. The addition of support for Google Cloud enables Cloudera to deliver on its promise to offer its enterprise data platform at a global scale. CDP Public Cloud is already available on Amazon Web Services and Microsoft Azure.

Google Cloud 92

Google Cloud Cloud Amazon Web Services Cloud Storage 92

Snowflake

DECEMBER 4, 2023

Apache Iceberg’s ecosystem of diverse adopters, contributors and commercial support continues to grow, establishing itself as the industry standard table format for an open data lakehouse architecture. Snowflake’s support for Iceberg Tables is now in public preview, helping customers build and integrate Snowflake into their lake architecture.

Building 97

Building Metadata Cloud Storage AWS 97

Cloudera

JUNE 25, 2021

Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. CDP Data Lake cluster versions – CM 7.4.0, For context, the setup used is as follows.

Cloud 71

Cloud Data Lake Cloud Storage Metadata 71

Data Engineering Podcast

JUNE 12, 2022

Summary Unstructured data takes many forms in an organization. From a data engineering perspective that often means things like JSON files, audio or video recordings, images, etc. Another category of unstructured data that every business deals with is PDFs, Word documents, workstation backups, and countless other types of information.

Unstructured Data 130

Unstructured Data MongoDB Scala MySQL 130

Cloudera

FEBRUARY 14, 2019

The Cloudera platform delivers a one-stop shop that allows you to store any kind of data, process and analyze it in many different ways in a single environment, and integrate with the rest of your data infrastructure. But working with cloud storage has often been a compromise. As a Hadoop developer, I loved that!

Data Lake 58

Data Lake Hadoop Cloud Storage Cloud 58

Knowledge Hut

SEPTEMBER 21, 2023

Azure or Google Cloud—Which is better? This question is often asked as businesses continue to understand the cloud’s usefulness and services. Sometimes, considering the three leading players in the cloud market, businesses search for the right cloud among the three to adopt. So, let’s dive in! What Is Azure?

Cloud 52

Cloud Google Cloud Cloud Computing Cloud Storage 52

Monte Carlo

JULY 19, 2023

Building a data stack doesn’t have to be complicated. Here’s what data leaders say are the 5 must-have layers of your data platform to drive data adoption – and ROI – across your business. Like bean dip and ogres , layers are the building blocks of the modern data stack. The content, not the bean dip.

Building 96

Building Business Intelligence Cloud Storage BI 96

Cloudera

SEPTEMBER 15, 2022

Cloudera Contributor: Mark Ramsey, PhD ~ Globally Recognized Chief Data Officer. July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. Luke: What is a modern data platform?

Data Lake 81

Data Lake Analytics Application Cloud Storage Architecture 81

Cloudera

SEPTEMBER 15, 2020

Cloudera Data Platform 7.2.1 introduces fine-grained authorization for access to Azure Data Lake Storage using Apache Ranger policies. Cloudera and Microsoft have been working together closely on this integration, which greatly simplifies the security administration of access to ADLS-Gen2 cloud storage.

Accessible 77

Accessible Accessibility Cloud Cloud Storage 77

Cloudera

JUNE 5, 2023

On May 3, 2023, Cloudera kicked off a contest called “Best in Flow” for NiFi developers to compete to build the best data pipelines. The contest challenged developers to build data pipelines that represent their business use cases using Cloudera DataFlow. This blog is to congratulate our winner and review the top submissions.

Google Cloud 75

Google Cloud Cloud Storage Data Lake Data Pipeline 75

Towards Data Science

APRIL 26, 2023

An open-source implementation of a Data Lake with DuckDB and AWS Lambdas A duck in the cloud. Photo by László Glatz on Unsplash In this post we will show how to build a simple end-to-end application in the cloud on a serverless infrastructure. How big a machine do we need? Image from the authors.

Engineering 68

Engineering Data Lake AWS BI 68

Towards Data Science

JULY 21, 2023

Spinning up a data platform doesn’t have to be complicated. Here are the 5 must-have layers to drive data product adoption at scale. Like bean dip and ogres , layers are the building blocks of the modern data stack. Unlike ogres, however, the cloud data platform isn’t a fairy tale. Image courtesy of author.

Building 80

Building Business Intelligence BI Cloud Storage 80

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

Monte Carlo

JANUARY 27, 2024

Building a modern data stack doesn’t have to be complicated. Here’s what data leaders say are the 5 must-have layers of your data platform to drive data adoption – and ROI – across your business. Like bean dip and ogres , layers are the building blocks of the modern data stack.

Building 52

Building Business Intelligence Cloud Storage BI 52

DareData

JANUARY 30, 2023

Learn the most important data engineering concepts that data scientists should be aware of. As the field of data science and machine learning continues to evolve, it is increasingly evident that data engineering cannot be separated from it.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Cloudyard

AUGUST 22, 2023

. “ Accessibility to data in Amazon S3-compatible storage” This exciting addition enables you to create external stages for various cloud storage services and devices that are highly and seamlessly compliant with the Amazon S3 REST API standards. This particular aspect stands out as a substantial cost factor.

Bytes 52

Bytes Data Lake Cloud Storage Cloud 52

Ascend.io

AUGUST 31, 2023

In the dynamic world of data, many professionals are still fixated on traditional patterns of data warehousing and ETL, even while their organizations are migrating to the cloud and adopting cloud-native data services. Central to this transformation are two shifts. Let’s take a closer look.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Towards Data Science

DECEMBER 15, 2023

For a data scientist, there’s no such thing as too much data. Photo by Trnava University on Unsplash Data Science vs Security/IT: A Battle for the Ages Acquiring and keeping data is the focus of a huge amount of our mental energy as data scientists. If you ask a data scientist “Can we solve this problem?”

Machine Learning 92

Machine Learning Data Science Data Security Data Storage 92

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. How much data was generated in a minute in 2013 and 2022.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Data Engineering Podcast

SEPTEMBER 22, 2019

Summary Object storage is quickly becoming the unifying layer for data intensive applications and analytics. Modern, cloud oriented data warehouses and data lakes both rely on the durability and ease of use that it provides. Interview Introduction How did you get involved in the area of data management?

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AWS Google Cloud Cloud Storage Data Lake 100

Knowledge Hut

SEPTEMBER 26, 2023

Organisations are constantly looking for robust and effective platforms to manage and derive value from their data in the constantly changing landscape of data analytics and processing. These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Cloudera

OCTOBER 26, 2017

Become more agile with business intelligence and data analytics. Clouds (source: Pexels ). 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.

Cloud 43

Cloud BI Cloud Storage Business Intelligence 43

Snowflake

FEBRUARY 23, 2023

Given the amount of data that needs to be shared at each billing code/provider/plan level, the files created by health plans are often multi-GB in size. After parsing, data often needs to be stored in an optimized schema/table format to enable ease of use for various analytic purposes. However, the guidelines do not restrict file size.

Healthcare 52

Healthcare Hospitality Insurance Cloud Storage 52

WeCloudData

OCTOBER 19, 2021

Executive Summary WeCloudData is one of the fastest growing Data & AI training companies in the world. Since 2016, WeCloudData has trained and helped thousands of students and clients level up their data skills and mature their data organizations.

Consulting 52

Consulting Raw Data Data Lake Data Pipeline 52

WeCloudData

OCTOBER 19, 2021

Executive Summary WeCloudData is one of the fastest growing Data & AI training companies in the world. Since 2016, WeCloudData has trained and helped thousands of students and clients level up their data skills and mature their data organizations.

Consulting 52

Consulting Raw Data Data Lake Data Pipeline 52

Data Science Blog: Data Engineering

DECEMBER 23, 2022

Warum Data Engineering der Data Science in Bedeutung und Berufschancen längst die Show stiehlt, dabei selbst ebenso einem stetigen Wandel unterliegt. Was ein Data Engineer wirklich können muss Der Data Scientist als sexiest Job des 21. Data Engineer, der gefragteste Job des 21sten Jahrhunderts? Jahrhunderts?

Data Engineering 52

Data Engineering Data Engineer Engineering Business Intelligence 52

Ascend.io

MAY 18, 2023

The “modern data stack” is supposed to be like assembling a squad of data software superheroes. You connect that to a top-of-the-line data transformation platform. And then, you use best-in-class orchestration, observability, and reverse ETL vendors to monitor and move your data.

Data Warehouse 52

Data Warehouse Data Pipeline Data Lake Data Engineering 52

Monte Carlo

AUGUST 19, 2023

A data platform, often referred to as a ‘modern data stack,’ is the central processing hub for an organization’s data ecosystem. A comprehensive data platform solution powers data acquisition, storage, preparation, delivery, governance, and even the robust security needs of users and applications.

Building 52

Building BI Data Lake Data Governance 52

AltexSoft

MARCH 30, 2023

The answer is simple: They use the same technology to make the most of data. Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. The relatively new storage architecture powering Databricks is called a data lakehouse.

Scala 64

Scala Data Lake BI Google Cloud 64

Edureka

FEBRUARY 9, 2023

The role of Azure Data Engineer is in high demand in the field of data management and analytics. As an Azure Data Engineer, you will be in charge of designing, building, deploying, and maintaining data-driven solutions that meet your organization’s business needs. Contents: Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

APRIL 25, 2023

The tremendous growth in data generation, then the rise in data engineer jobs - there’s no arguing the fact that the big data industry is at its best pace and you, as an aspiring data engineer, have a lot to learn and make out of it - including some tools! While they go about it - enter big data data engineer tools.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

JUNE 26, 2023

Welcome to the world of data engineering, where the power of big data unfolds. If you're aspiring to be a data engineer and seeking to showcase your skills or gain hands-on experience, you've landed in the right spot. Therefore, the greatest thing you can do as a novice is to work on some real-time data engineering initiatives.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

ProjectPro

JANUARY 24, 2023

Tired of relentlessly searching for the most effective and powerful data warehousing solutions on the internet? This blog is your comprehensive guide to Google BigQuery, its architecture, and a beginner-friendly tutorial on how to use Google BigQuery for your data warehousing activities. Search no more! Did you know ?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Rockset

AUGUST 25, 2021

With Confluent’s recent IPO, streaming data has officially gone mainstream, “becoming the underpinning of a modern digital customer experience, and the key to driving intelligent, efficient operations” to quote from their letter to shareholders. This greatly reduces both the amount of data stored and the compute for queries.

Aggregated Data 52

Aggregated Data Data Lake Hadoop SQL 52

Knowledge Hut

JULY 6, 2023

IT Professionals looking to work in the cloud domain are expected to have a sound understanding of Azure tools as well as development and monitoring tools. Azure Monitoring Tools: Overview Microsoft Azure is the second-most popular cloud service provider, next to Amazon Web Service. Why are Azure Tools Important?

Amazon Web Services 52

Amazon Web Services Data Lake Java SQL 52

AltexSoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is a data architect?

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Data Architect Certification Generalist Big Data 87