DareData

JULY 5, 2023

Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals. In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Data Engineering Podcast

MAY 15, 2022

Summary Designing a data platform is a complex and iterative undertaking which requires accounting for many conflicting needs. Designing a platform that relies on a data lake as its central architectural tenet adds additional layers of difficulty. When is a data lake architecture the wrong choice?

Data Lake 100

Data Lake Building BI Business Intelligence 100

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Data Engineering Podcast

JULY 22, 2019

Summary The current trend in data management is to centralize the responsibilities of storing and curating the organization’s information to a data engineering team. This organizational pattern is reinforced by the architectural pattern of data lakes as a solution for managing storage and access.

Data Lake 100

Data Lake Hadoop Data Architecture 100

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

phData: Data Engineering

APRIL 4, 2023

Fivetran today announced support for Amazon Simple Storage Service (Amazon S3) with Apache Iceberg data lake format. Amazon S3 is an object storage service from Amazon Web Services (AWS) that offers industry-leading scalability, data availability, security, and performance.

Data Lake 52

Data Lake Amazon Web Services Data Cleanse Data Warehouse 52

Data Engineering Podcast

NOVEMBER 11, 2018

Summary A data lake can be a highly valuable resource, as long as it is well built and well managed. In this episode Yoni Iny, CTO of Upsolver, discusses the various components that are necessary for a successful data lake project, how the Upsolver platform is architected, and how modern data lakes can benefit your organization.

Data Lake 100

Data Lake Building Cloud Kafka 100

Knowledge Hut

MARCH 19, 2024

All of this is possible because of cloud computing, the unsung hero of the computer industry. Come into the cloud and intervene to rescue the day. In this article, I will take you across some of the cool cloud computing case study examples and highlight cloud implementation in those cases. What is Cloud Computing?

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services AWS 52

Data Engineering Podcast

MAY 29, 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. Can you describe what Bluesky is and the story behind it?

Cloud 100

Cloud Data Warehouse Data Lake Data 100

Knowledge Hut

NOVEMBER 2, 2023

As an AWS Cloud Practitioner with experience in delivering multiple AWS cloud practitioner projects, I vividly recall assisting a startup to prove the scalability of their AI solution on AWS during one of my early projects. This experience ignited my passion for architecting cost-effective, scalable solutions on the AWS platform.

AWS 52

AWS Coding Cloud Project 52

Data Engineering Podcast

MARCH 27, 2022

Summary Data governance is a practice that requires a high degree of flexibility and collaboration at the organizational and technical levels. The growing prominence of cloud and hybrid environments in data management adds additional stress to an already complex endeavor.

Data Governance 130

Data Governance Government Cloud Building 130

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, Introduction. Runtime 7.2.8. Architecture.

Cloud 72

Cloud Data Lake Cloud Storage Metadata 72

Data Engineering Podcast

AUGUST 31, 2020

Summary Data warehouse technology has been around for decades and has gone through several generational shifts in that time. The current trends in data warehousing are oriented around cloud native architectures that take advantage of dynamic scaling and the separation of compute and storage.

Data Warehouse 100

Data Warehouse Cloud Building Data Lake 100

Cloudera

OCTOBER 13, 2020

On September 24, 2019, Cloudera launched CDP Public Cloud (CDP-PC) as the first step in delivering the industry’s first Enterprise Data Cloud. Over the past year, we’ve not only added Azure as a supported cloud platform, but we have improved the orginal services while growing the CDP-PC family significantly: Improved Services.

Cloud 96

Cloud Data Warehouse AWS NoSQL 96

Data Engineering Podcast

OCTOBER 23, 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. Sign up free… or just get the free t-shirt for being a listener of the Data Engineering Podcast at dataengineeringpodcast.com/rudder.

Database 100

Database MySQL Cloud MongoDB 100

Confessions of a Data Guy

JANUARY 12, 2023

Anyone who’s been roaming around the forest of Data Engineering has probably run into many of the newish tools that have been growing rapidly around the concepts of Data Warehouses, Data Lakes, and Lake Houses … the merging of the old relational database functionality with TB and PB level cloud-based file storage systems.

Data Lake 162

Data Lake Relational Database Data Warehouse Data Engineering 162

Data Engineering Podcast

OCTOBER 21, 2019

In this episode Dipti Borkar explains how the emerging category of data orchestration tools fills this need, some of the existing projects that fit in this space, and some of the ways that they can work together to simplify projects such as cloud migration and hybrid cloud environments.

Cloud 100

Cloud Data Lake Hadoop Programming Language 100

Cloudera

APRIL 29, 2021

on all three major cloud platforms, and it also brings Flow Management on DataHub with Apache NiFi 1.13.2 Cloudera commits to provide you with the best options to move data from any system to any other system. The post The New Releases of Apache NiFi in Public Cloud and Private Cloud appeared first on Cloudera Blog.

Cloud 76

Cloud Amazon Web Services Google Cloud Data Lake 76

Knowledge Hut

SEPTEMBER 21, 2023

If you are looking for an Azure Cloud job you are at the right place! In this article, I will share some tried and tested tips and tricks that you can use in your AWS cloud practitioner resume which might help you crack your dream job. Windows Azure, is Microsoft's public cloud computing platform.

Cloud 52

Cloud Amazon Web Services Cloud Computing AWS 52

Data Engineering Podcast

FEBRUARY 19, 2023

Summary Cloud data warehouses have unlocked a massive amount of innovation and investment in data applications, but they are still inherently limiting. Because of their complete ownership of your data they constrain the possibilities of what data you can store and how it can be used.

IT 147

IT Data Lake Metadata Data Warehouse 147

Cloudera

JANUARY 19, 2022

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases.

Database 89

Database Cloud Data Warehouse Data Lake 89

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

Data Engineering Podcast

OCTOBER 14, 2018

The Hive format is also built with the assumptions of a local filesystem which results in painful edge cases when leveraging cloud object storage for a data lake. One of the complicated problems in data modeling is managing table partitions. What are the unique challenges posed by using S3 as the basis for a data lake?

Data Lake 100

Data Lake Big Data Cloud Hadoop 100

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. DW1 is an anonymized cloud data warehouse running on AWS and DW2 is an anonymized data warehouse running on GCP. Overview of Cloudera Data Warehouse.

Data Warehouse 95

Data Warehouse Cloud Consulting SQL 95

Cloudera

NOVEMBER 12, 2020

Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data. A solution.

Cloud 103

Cloud Data Warehouse Banking Data 103

Knowledge Hut

JUNE 30, 2023

Businesses need cloud technologies to host their web applications and run their operations. Google Cloud is one of the leading cloud computing platforms in the world. The best certification to pursue novices is Google Cloud Engineer - Associate. Why Choose a Google Cloud Career?

Google Cloud 52

Google Cloud Cloud Cloud Computing Certification 52

ProjectPro

JANUARY 24, 2023

A survey by Data Warehousing Institute TDWI found that AWS Glue and Azure Data Factory are the most popular cloud ETL tools with 69% and 67% of the survey respondents mentioning that they have been using them. Azure Data Factory and AWS Glue are powerful tools for data engineers who want to perform ETL on Big Data in the Cloud.

AWS 52

AWS Cloud Amazon Web Services Scala 52

Knowledge Hut

MARCH 28, 2024

Azure Data Engineer Career Demands & Benefits Azure has become one of the most powerful platforms in the industry, where Microsoft offers a variety of data services and analytics tools. As a result, organizations are looking to capitalize on cloud-based data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 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.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Cloudera

JUNE 2, 2022

Over the last few years, we have had a front-row seat in our customers’ hybrid cloud journey as they expand their data estate across the edge, on-premise, and multiple cloud providers. This need has generated a market opportunity for a universal data distribution service. What is the modern data stack?

Systems 103

Systems Data Lake Google Cloud Data Collection 103

Cloudera

SEPTEMBER 2, 2020

Recently, Cloudera announced the release of Cloudera CDP Private Cloud, delivering the final component of our hybrid cloud strategy. CDP Private Cloud offers benefits of a public cloud architecture—autoscaling, isolation, agile provisioning, etc.—in Migrate from large on-premises CDH/HDP clusters to CDP Private Cloud.

Cloud 68

Cloud Data Warehouse Data Lake Machine Learning 68

Snowflake

DECEMBER 4, 2023

With this public preview, those external catalog options are either “GLUE”, where Snowflake can retrieve table metadata snapshots from AWS Glue Data Catalog, or “OBJECT_STORE”, where Snowflake retrieves metadata snapshots directly from the specified cloud storage location. With these three options, which one should you use?

Building 91

Building Metadata Cloud Storage AWS 91

Cloudera

MARCH 5, 2024

Cloudera is now the only provider to offer an open data lakehouse with Apache Iceberg for cloud and on-premises. This marks a significant milestone for the platform: according to IDC, today about half of the world’s enterprise production data under management is on-prem. Available for cloud and now also for the data center.

Data Lake 87

Data Lake Government Data Storage Kafka 87

Data Engineering Podcast

DECEMBER 11, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. RudderStack helps you build a customer data platform on your warehouse or data lake. RudderStack helps you build a customer data platform on your warehouse or data lake.

Database 100

Database MySQL Data Lake MongoDB 100

François Nguyen

MARCH 22, 2021

It will be illustrated with our technical choices and the services we are using in the Google Cloud Platform. With this 3rd platform generation, you have more real time data analytics and a cost reduction because it is easier to manage this infrastructure in the cloud thanks to managed services.

Technology 130

Technology Architecture Google Cloud Metadata 130

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 93

Data Lake Data Warehouse BI SQL 93

Data Engineering Podcast

OCTOBER 16, 2022

Summary The "data lakehouse" architecture balances the scalability and flexibility of data lakes with the ease of use and transaction support of data warehouses. Mention the podcast to get a free "In Data We Trust World Tour" t-shirt. Data teams are increasingly under pressure to deliver.

Data Lake 100

Data Lake Food MongoDB Scala 100