Cloudera

DECEMBER 10, 2020

However, traditional deployments are notoriously cumbersome and cost-prohibitive at large scales. Watch this video to get an overview of CDW. . Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? Expected cost benefits, however, often do not materialize.

Data Warehouse 98

Data Warehouse Cloud Storage Metadata Data 98

Data Engineering Podcast

JUNE 29, 2020

With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm. Go to dataengineeringpodcast.com/linode today and get a $60 credit to try out a Kubernetes cluster of your own.

Data Collection 100

Data Collection Management High Quality Data Metadata 100

Big Data Tools

MAY 19, 2022

Sorry about the silence, but luckily we’re back. And please feel free to subscribe to this newsletter to get it in your email inbox every month. And please feel free to subscribe to this newsletter to get it in your email inbox every month. Notably, cluster failover is now supported on the client-side.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

MAY 19, 2022

Sorry about the silence, but luckily we’re back. And please feel free to subscribe to this newsletter to get it in your email inbox every month. And please feel free to subscribe to this newsletter to get it in your email inbox every month. Notably, cluster failover is now supported on the client-side.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

ProjectPro

JULY 23, 2021

Before we get into the technicalities on how one can leverage any AWS service and build some exciting AWS projects, here is a quick overview of AWS to understanding the cloud platform and its services. Windows Virtual Machine – Deployment 3. Kubernetes Clusters on Amazon EC2 Spot 9. Table of Contents What is AWS?

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

The Pragmatic Engineer

NOVEMBER 21, 2023

To get full issues twice a week, subscribe here. To get full issues twice a week, subscribe here. Joshua Burgin was an early Amazon employee, joining in 1997, back when Amazon was just an internet bookstore and cloud computing wasn’t even a speck on the horizon. Subscribe here.

Engineering 283

Engineering Bytes Cloud Computing AWS 283

Monte Carlo

JULY 7, 2022

Is this a (back to the future as Joe Reis would call it) data engineering best practice? You can read more about Convoy’s approach from our blog with their Head of Product, Data Platform, Chad Sanderson, “ The modern data warehouse is broken.” There is a communication chasm between service implementers, data engineers, and data consumers.

Data Warehouse 52

Data Warehouse Software Engineer Software Engineering Data 52

Knowledge Hut

OCTOBER 27, 2023

We will help you get through everything. Here are 10 of the best Docker project ideas to get you started: 1. To get started, you'll need to create a new 'Dockercraft' folder and then clone the Dockercraft repository into it. You may ask. Docker is a program that allows you to create and manage containers.

Project 52

Project Portfolio Coding Building 52

Cloudera

JULY 11, 2023

Apache Impala is a distributed C++ backed SQL engine that integrates with Kudu to serve BI results over millions of rows meeting sub-second service-level agreements. Cloudera offers Apache Kudu to run in Real Time DataMart Clusters , and Apache Impala to run in Kubernetes in the Cloudera Data Warehouse form factor.

Data Warehouse 69

Data Warehouse Pharmaceutical BI Banking 69

Data Engineering Podcast

DECEMBER 26, 2021

Summary The data mesh is a thesis that was presented to address the technical and organizational challenges that businesses face in managing their analytical workflows at scale. Go to dataengineeringpodcast.com/linode today and get a $100 credit to try out a Kubernetes cluster of your own.

BI 130

BI Data Warehouse Data Engineering Data Engineer 130

Data Engineering Podcast

OCTOBER 23, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Summary Agile methodologies have been adopted by a majority of teams for building software applications.

Project 130

Project Metadata MongoDB MySQL 130

Knowledge Hut

MARCH 19, 2024

So, let's discuss the AWS cloud migration case study and its importance in getting a better understanding of the topic in detail. AWS EC2 use cases consist of: With options for load balancing and auto-scaling, create a fault-tolerant architecture. What are AWS Case Studies, and Why are They Important?

AWS 52

AWS Amazon Web Services Hospitality Cloud Computing 52

Knowledge Hut

NOVEMBER 22, 2023

Container orchestration is one of the important topics in DevOps, and the market in this is getting bigger daily. Let us look into Docker swarm and Kubernetes in detail, their differences, and most importantly when to use them. If you are preparing for DevOps certification , do checkout Docker Kubernetes certification.

MongoDB 52

MongoDB Architecture AWS MySQL 52

Data Engineering Podcast

MARCH 13, 2022

With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm. Go to dataengineeringpodcast.com/linode today and get a $100 credit to try out a Kubernetes cluster of your own.

Data Lake 100

Data Lake Relational Database Data Data Engineering 100

Knowledge Hut

FEBRUARY 7, 2023

In this article, we'll discuss the importance of having a Kubernetes cheat sheet available so you can quickly get up-to-speed with this powerful tool before diving into more advanced topics like deployments and automation. What is Kubernetes? What Does Kubernetes Cheat Sheet Mean?

Architecture 98

Architecture Accessible Accessibility Management 98

Data Engineering Podcast

OCTOBER 8, 2021

With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm. Go to dataengineeringpodcast.com/linode today and get a $100 credit to try out a Kubernetes cluster of your own.

BI 100

BI Business Intelligence SQL Data Warehouse 100

Data Engineering Podcast

OCTOBER 20, 2021

In this episode Boris Jabes, CEO of Census, explains how the work of synchronizing cleaned and consolidated data about your customers back into the systems that you use to interact with those customers allows for a powerful feedback loop that has been missing in data systems until now. Struggling with broken pipelines? Stale dashboards?

Data Warehouse 100

Data Warehouse Data Lake Business Intelligence Data Engineering 100

Data Engineering Podcast

JUNE 11, 2021

With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm. Go to dataengineeringpodcast.com/linode today and get a $100 credit to try out a Kubernetes cluster of your own. No more scripts, just SQL.

Google Cloud 100

Google Cloud Cloud Big Data Ecosystem BI 100

Data Engineering Podcast

SEPTEMBER 1, 2021

She explains how they are optimizin the runtime to reduce latency and increase query throughput, the ways that they are contributing back to the open source community, and the exciting improvements that are in the works to make Presto an even more powerful option for all of your analytics. and take control of your data quality today.

Data Lake 100

Data Lake Cloud AWS SQL 100

Data Engineering Podcast

NOVEMBER 27, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. This has led to inefficiencies in how data is stored, accessed, and shared across process and system boundaries.

Data Process 100

Data Process Process Metadata Business Intelligence 100

Cloudera

AUGUST 17, 2021

When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. In addition, we allowed users to automate their jobs based on a time-based schedule.

Data Pipeline 111

Data Pipeline Management BI Python 111

Knowledge Hut

JULY 26, 2023

OS virtualization is an innovative generation that has changed how we manage and utilize our computational resources. Virtualization isn't always a new term in the tech enterprise; it has been around for many years, but it maintains to evolve and bring about revolutionary answers. What is Operating System Virtualization?

Systems 52

Systems Cloud Computing Utilities Cloud 52

DataKitchen

APRIL 13, 2021

Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

ProjectPro

JULY 30, 2021

It is more than a better time than any other to get into the domain of cloud computing. Building data storage and computing architecture locally were getting more expensive during the advent of Big Data technologies. And maintenance was an overhead when things needed to be scaled down or up. What is Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

DECEMBER 10, 2021

Let's get started with the questions! This blog covers the top 50 most frequently asked Azure interview questions and answers. It will provide you with a good sense of what areas you should focus on as you prepare for your next Azure interview. So, let's dive right into it! Table of Contents Why Must You Prepare For Azure Interview Questions?

BI 52

BI Cloud Computing SQL Database 52

Confluent

MAY 9, 2019

So far in this series, we have recognized that by going back to first principles, we have a new foundation to work with. It offers time travel, a source of truth, scaling, consistency and many elements that we can rely on. Everything is asynchronous; everything is stored; everything is partitioned; everything scales.

Kafka 93

Kafka Pipeline-centric Architecture Database-centric 93

Confluent

FEBRUARY 13, 2019

Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. Without conflating the two, let’s first focus on scaling event-driven architectures. Data evolution.

Architecture 90

Architecture Programming Kafka Database-centric 90

Cloudera

DECEMBER 12, 2018

So, that sounds like a long pathway to get here. Certainly interesting to hear that your background started in the dotcom age as I actually worked at a dot com back in 2000. Hi Greg, thank you for joining us today. Greg Rahn: I first got introduced to SQL relational database systems while I was in undergrad. Michael Moreno: Nice!

Data Warehouse 41

Data Warehouse Relational Database Hadoop BI 41

Confluent

SEPTEMBER 20, 2019

As a distributed system for collecting, storing, and processing data at scale, Apache Kafka ® comes with its own deployment complexities. Luckily for on-premises scenarios, a myriad of deployment options are available, such as the Confluent Platform which can be deployed on bare metal, virtual machines, containers, etc.

Kafka 21

Kafka Management Cloud AWS 21

Cloudera

OCTOBER 11, 2021

Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu. Cloud Speed and Scale. Also, enterprises can tap into new technologies like Kubernetes.

Data Engineering 90

Data Engineering Data Engineer Cloud Engineering 90

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. In this article, we’ll highlight the reasoning behind this choice and the challenges related to it.

Scala 64

Scala Data Lake BI Google Cloud 64