Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. Securing and scaling storage. Autoscaling speed and scale.

Data Engineering 118

Data Engineering Technical Review Software Review Engineering 118

Cloudera

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. The same key tenants powering DE in the public clouds are now available in the data center.

Data Engineering 113

Data Engineering Engineering Data Storage 113

The Crazy Programmer

NOVEMBER 6, 2021

Because the salary for a data scientist can be over Rs5,50,000 to Rs17,50,000 per annum. Cloud Architect. A cloud architect is an IT professional who is responsible for implementing cloud computing strategies. A cloud architect has a profound understanding of storage, servers, analytics, and many more.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

TechCrunch

NOVEMBER 4, 2022

I know this because I used to be a data engineer and built extract-transform-load (ETL) data pipelines for this type of offer optimization. Part of my job involved unpacking encrypted data feeds, removing rows or columns that had missing data, and mapping the fields to our internal data models.

Data 218

Data Storage Analytics Data Engineering 218

Cloudera

OCTOBER 11, 2021

Modak, a leading provider of modern data engineering solutions, is now a certified solution partner with Cloudera. 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.

Data Engineering 95

Data Engineering Engineering Data Cloud 95

Apiumhub

DECEMBER 9, 2024

Azure Key Vault Secrets offers a centralized and secure storage alternative for API keys, passwords, certificates, and other sensitive statistics. Azure Key Vault is a cloud service that provides secure storage and access to confidential information such as passwords, API keys, and connection strings.

Azure 91

Azure Analytics Storage Artificial Inteligence 91

CIO

OCTOBER 9, 2024

For these data to be utilized effectively, the right mix of skills, budget, and resources is necessary to derive the best outcomes. Such data also has to be placed in environments, be it private or public clouds, that can meet both business requirements and technical needs.

Strategy 215

Strategy Data Artificial Inteligence Storage 215

CIO

OCTOBER 13, 2023

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

Cloudera

SEPTEMBER 17, 2020

With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estimated rate of 50% year over year.

Data Engineering 104

Data Engineering Engineering Data Tools 104

Cloudera

SEPTEMBER 10, 2021

Shared Data Experience ( SDX ) on Cloudera Data Platform ( CDP ) enables centralized data access control and audit for workloads in the Enterprise Data Cloud. The public cloud (CDP-PC) editions default to using cloud storage (S3 for AWS, ADLS-gen2 for Azure).

Storage 83

Storage Cloud Azure Pharmaceuticals 83

Cloudera

OCTOBER 23, 2024

The Iceberg REST catalog specification is a key component for making Iceberg tables available and discoverable by many different tools and execution engines. It enables easy integration and interaction with Iceberg table metadata via an API and also decouples metadata management from the underlying storage.

Data 84

Data Analytics Systems Review Architecture 84

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Artificial Inteligence 98

CIO

APRIL 10, 2024

As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. Thus, the ability to run a model held closely in one’s datacenter is an attractive value proposition for organizations for whom bringing AI to their data is key.

Artificial Inteligence 203

Artificial Inteligence Generative AI Storage Artificial Intelligence 203

Honeycomb

APRIL 23, 2025

download Model-specific cost drivers: the pillars model vs consolidated storage model (observability 2.0) All of the observability companies founded post-2020 have been built using a very different approach: a single consolidated storage engine, backed by a columnar store. and observability 2.0. understandably). moving forward.

Weak Development Team 106

Weak Development Team Metrics Storage Engineering 106

TechCrunch

APRIL 12, 2022

That’s when Union’s team saw an opportunity to layer paid services on top of the project in the cloud. “A managed version of Flyte, called Union Cloud, will allow smaller teams and organizations to use the power of Flyte without the need to staff up on infrastructure teams,” Umare continued. Cloud advantage.

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

Cloudera

SEPTEMBER 2, 2021

The shift to cloud has been accelerating, and with it, a push to modernize data pipelines that fuel key applications. That is why cloud native solutions which take advantage of the capabilities such as disaggregated storage & compute, elasticity, and containerization are more paramount than ever.

Data Engineering 85

Data Engineering Performance Engineering Data 85

Cloudera

SEPTEMBER 14, 2020

Everybody needs more data and more analytics, with so many different and sometimes often conflicting needs. Data engineers need batch resources, while data scientists need to quickly onboard ephemeral users. Fundamental principles to be successful with Cloud data management. Or so they all claim.

Cloud 111

Cloud Data Compliance Analytics 111

AWS Machine Learning - AI

APRIL 23, 2025

Multiple specialized Amazon Simple Storage Service Buckets (Amazon S3 Bucket) store different types of outputs. Solution Components Storage architecture The application uses a multi-bucket Amazon S3 storage architecture designed for clarity, efficient processing tracking, and clear separation of document processing stages.

Artificial Inteligence 65

Artificial Inteligence Open Source AWS Serverless 65

TechCrunch

SEPTEMBER 15, 2021

The problem is that this data is often sitting across a lot of different places — typically large organizations might have over 1,000 data sources, apps sitting across multiple clouds and servers and storage across Snowflake, Amazon Redshift and Databricks.

Artificial Inteligence 234

Artificial Inteligence Data Weak Development Team Artificial Intelligence 234

CIO

FEBRUARY 13, 2023

Upgrading cloud infrastructure is critical for deploying broad AI initiatives more quickly, so that’s a key area where investments are being made this year. These network, security, and cloud changes allow us to shift resources and spend less on-prem and more in the cloud.”

Budget 218

Budget Artificial Inteligence Technical Review VR 218

Altexsoft

APRIL 22, 2020

So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms. In this article we’ll explain what a data engineer is, the field of their responsibilities, skill sets, and general role description. What is a data engineer?

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

Perficient

FEBRUARY 13, 2023

Introduction: We often end up creating a problem while working on data. So, here are few best practices for data engineering using snowflake: 1.Transform So, resist the temptation to periodically load data using other methods (such as querying external tables). Use it, but don’t use it for normal large data loads.

Data Engineering 69

Data Engineering Engineering Data Storage 69

AWS Machine Learning - AI

NOVEMBER 20, 2024

The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in an Amazon Simple Storage Service (Amazon S3) bucket. Solution overview Amazon Q Business is a fully managed, generative AI-powered assistant that helps enterprises unlock the value of their data and knowledge.

Data 110

Data AWS Groups Knowledge Base 110

Cloudera

MAY 18, 2021

Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model. Cloudera subscription and compute costs.

Cloud 86

Cloud Technical Review Storage Backup 86

Erik Bernhardsson

DECEMBER 6, 2022

Please check it out — it lets you run things in the cloud without having to think about infrastructure. It's primarily meant for data teams. What can we do to make data teams 10x more productive when they write code? I wanted to build something that takes code on a user's computer and launches it in the cloud within a second.

Fractional CTO 242

Fractional CTO CTO Coach Software Engineering Serverless 242

Cloudera

APRIL 1, 2024

We’re excited to share that Gartner has recognized Cloudera as a Visionary among all vendors evaluated in the 2023 Gartner® Magic Quadrant for Cloud Database Management Systems. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.

Cloud 105

Cloud Artificial Inteligence Generative AI Analytics 105

Kentik

APRIL 4, 2023

Balancing these trade-offs across the many components of at-scale cloud networks sits at the core of network design and implementation. While there is much to be said about cloud costs and performance , I want to focus this article primarily on reliability. What is cloud network reliability?

Network 104

Network Load Balancer Cloud Backup 104

Cloudera

OCTOBER 13, 2021

Enterprises need to find a way of getting insights from this vast treasure trove of data into the hands of the people that need it. For relatively low amounts of data, public cloud is a possible path for some organizations. These companies have instead opted to leverage their existing data centre investment.

Data Center 98

Data Center Cloud Data How To 98

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.

Performance 96

Performance Cloud Data Storage 96

Cloudera

MAY 17, 2021

CDP (Cloudera Data Platform) Private Cloud 1.2 was recently released and builds on the success of CDP Private Cloud Base (see the 7.1.6 While Private Cloud Base is the ideal modernization of both CDH and HDP deployments for traditional workloads, Private Cloud adds cloud-native capabilities. Private Cloud 1.2

Cloud 90

Cloud Artificial Inteligence Machine Learning Storage 90

Hu's Place - HitachiVantara

JANUARY 15, 2019

For lack of similar capabilities, some of our competitors began implying that we would no longer be focused on the innovative data infrastructure, storage and compute solutions that were the hallmark of Hitachi Data Systems. A REST API is built directly into our VSP storage controllers.

Systems Review 72

Systems Review Storage System Software Review 72

AWS Machine Learning - AI

MARCH 13, 2025

The customer interaction transcripts are stored in an Amazon Simple Storage Service (Amazon S3) bucket. About the Authors Carole Suarez is a Senior Solutions Architect at AWS, where she helps guide startups through their cloud journey. The following architecture diagram demonstrates the request flow for AskAI.

Generative AI 109

Generative AI CTO Coach AWS Artificial Inteligence 109

Linux Academy

MAY 7, 2019

Microsoft Certified Azure AI Engineer Associate ( Associate ). Microsoft Certified Azure Data Engineer Associate ( Associate ). This is a new certification, designed to demonstrate foundation level knowledge of Azure-based cloud services. Microsoft Certified Azure Data Engineer Associate.

Azure 150

Azure Linux Technical Review Course 150

CIO

FEBRUARY 14, 2023

Cloud-native apps, microservices and mobile apps drive revenue with their real-time customer interactions. It’s clear how these real-time data sources generate data streams that need new data and ML models for accurate decisions. It’s also used to deploy machine learning models, data streaming platforms, and databases.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

CIO

JULY 15, 2022

The forecasting systems DTN had acquired were developed by different companies, on different technology stacks, with different storage, alerting systems, and visualization layers. Working with his new colleagues, he quickly identified rebuilding those five systems around a single forecast engine as a top priority.

Systems Review 167

Systems Review Fractional CTO System Development Team Review 167

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148