CIO

NOVEMBER 14, 2024

Recently, we sponsored a study with IDC* that surveyed teams of data scientists, data engineers, developers, and IT professionals working on AI projects across enterprises worldwide. Another significant finding was that respondents cited data access due to infrastructure restrictions as the #1 cause of AI project failure.

Enterprise 147

Enterprise Survey Storage Study 147

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 81

Storage Cloud Azure Pharmaceuticals 81

Altexsoft

JUNE 25, 2019

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

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 332

Artificial Inteligence Generative AI Storage Artificial Intelligence 332

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

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

Trigent

JUNE 20, 2022

To do this, they are constantly looking to partner with experts who can guide them on what to do with that data. This is where data engineering services providers come into play. Data engineering consulting is an inclusive term that encompasses multiple processes and business functions.

Data Engineering 52

Data Engineering Engineering Data Strategy 52

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 83

Data Engineering Performance Engineering Data 83

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

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

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

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

Xebia

OCTOBER 18, 2024

Dbt is a popular tool for transforming data in a data warehouse or data lake. It enables data engineers and analysts to write modular SQL transformations, with built-in support for data testing and documentation. This makes dbt a natural choice for the Ducklake setup. What’s Next?

Open Source 162

Open Source AWS Government Technical Review 162

Cloudera

APRIL 26, 2023

Data is core to decision making today and organizations often turn to the cloud to build modern data apps for faster access to valuable insights. With cloud operating models, decision making can be accelerated, leading to competitive advantages and increased revenue. What is cloud native exactly?

Cloud 63

Cloud Data Load Balancer Storage 63

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 363

Budget Artificial Inteligence Technical Review VR 363

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

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

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 246

Software Engineering Data Engineering DevOps AWS 246

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 246

Software Engineering Data Engineering DevOps AWS 246

Cloudera

NOVEMBER 1, 2022

In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage. It’s here where the private cloud delivers.

Cloud 87

Cloud Government Analytics Storage 87

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 82

Data Analytics Systems Review Architecture 82

CIO

JULY 6, 2023

While Microsoft, AWS, Google Cloud, and IBM have already released their generative AI offerings, rival Oracle has so far been largely quiet about its own strategy. While AWS, Google Cloud, Microsoft, and IBM have laid out how their AI services are going to work, most of these services are currently in preview.

Generative AI 252

Generative AI Artificial Inteligence Strategy Google Cloud 252

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 288

Artificial Inteligence Strategy Data Machine Learning 288

InfoWorld

FEBRUARY 9, 2024

It is built around a data lake called OneLake, and brings together new and existing components from Microsoft Power BI, Azure Synapse, and Azure Data Factory into a single integrated environment. In many ways, Fabric is Microsoft’s answer to Google Cloud Dataplex. As of this writing, Fabric is in preview.

Big Data 78

Big Data Azure Data Google Cloud 78

CIO

JUNE 14, 2023

Start with storage. Before you can even think about analyzing exabytes worth of data, ensure you have the infrastructure to store more than 1000 petabytes! Going from 250 PB to even a single exabyte means multiplying storage capabilities four times. So, what does it require for organizations to go from PB to EB scale?

Data 162

Data Scalability Storage Big Data 162

CIO

OCTOBER 16, 2024

As gen AI becomes embedded into more devices, endowing it with autonomous decision-making will depend on real-time data and avoiding excessive cloud costs. By processing data closer to the source, edge computing can enable quicker decisions and reduce costs by minimizing data transfers, making it an alluring environment for AI. “As

Technical Advisors 356

Technical Advisors Energy Technical Review CTO Coach 356

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

Cloudera

SEPTEMBER 28, 2021

Cloudera Data platform ( CDP ) provides a Shared Data Experience ( SDX ) for centralized data access control and audit in the Enterprise Data Cloud. The Ranger Authorization Service (RAZ) is a new service added to help provide fine-grained access control (FGAC) for cloud storage.

Groups 61

Groups Cloud Data AWS 61

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 278

Systems Review Fractional CTO System Development Team Review 278

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

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 95

Performance Cloud Data Storage 95

Apps Associates

JULY 28, 2022

This blog introduces you to Oracle Cloud Infrastructure (OCI) Data Integration service and reviews how to setup Data Integration workspace in OCI. I love Data Integration in OCI and hope to get you excited about this great product as well. Data immersive user experience to boost productivity. Oracle Managed.

Infrastructure 52

Infrastructure Cloud Data Linux 52

Cloudera

DECEMBER 15, 2022

Today, we are thrilled to share some new advancements in Cloudera’s integration of Apache Iceberg in CDP to help accelerate your multi-cloud open data lakehouse implementation. Multi-cloud deployment with CDP public cloud. Multi-cloud capability is now available for Apache Iceberg in CDP. Advanced capabilitie.

Cloud 78

Cloud Data Analytics Artificial Inteligence 78

Exadel

FEBRUARY 20, 2023

Cloud-based AI services make this possible. In this article, we’ll look at AI in the cloud and three major providers who are blazing a trail in the world of AI cloud technologies. Major cloud service providers have paved a way for AI in the cloud. More was yet to come for AI in the cloud.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

Cloudera

OCTOBER 18, 2022

With global spend on the public cloud reaching $385 billion in 2021 , Cloudera was by no means alone in identifying that we, too, needed to be conscious of the ever-increasing costs of our public cloud infrastructure. The goal was to provide a unified single source of truth for all our cloud spending. Project CloudCost — design.

Cloud 88

Cloud Analytics AWS Engineering 88

Kentik

MARCH 7, 2023

Cloud networks give operators a much wider surface area to protect against cyberattacks. Solving these problems for distributed cloud networks has required a big data approach, ultimately resulting in the evolution of network observability. The best way to manage this complexity is with a network observability platform.

Network 99

Network Cloud Data Case Study 99

Cloudera

APRIL 15, 2021

With each new release of CDP Private Cloud, this is exactly what we strive to deliver. release and the new in-place upgrade from HDP that completely does away with replacing infrastructure and data migrations. The CDP Private Cloud Base stack, as shown below, has provided an upgrade path for customers from CDH 5.13 – 5.16

Cloud 70

Cloud Data Engineering Resources Engineering 70