CIO

AUGUST 31, 2022

Software engineers are one of the most sought-after roles in the US finance industry, with Dice citing a 28% growth in job postings from January to May. The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

JULY 6, 2023

OCI’s Supercluster includes OCI Compute Bare Metal, which provides an ultralow-latency remote direct access memory (RDMA) over a Converged Ethernet (RoCE) cluster for low-latency networking, and a choice of high-performance computing storage options.

Generative AI 232

Generative AI Artificial Inteligence Strategy Google Cloud 232

Existek

JANUARY 11, 2022

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS market share. What is Microsoft Azure used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS comparison: other practical aspects. Azure vs AWS: which is better?

Azure 52

Azure AWS Cloud How To 52

The Crazy Programmer

NOVEMBER 6, 2021

A cloud architect has a profound understanding of storage, servers, analytics, and many more. They also use tools like Amazon Web Services and Microsoft Azure. Big Data Engineer. Another highest-paying job skill in the IT sector is big data engineering. AI or Artificial Intelligence Engineer.

Artificial Inteligence 290

Artificial Inteligence Blockchain Artificial Intelligence Software Review 290

CIO

FEBRUARY 13, 2023

On-prem infrastructure will grow cold — with the exception of storage, Nardecchia says. Some storage will likely stay on-prem while more is pushed into the public cloud, he says. For example, the hospital wants the ability to look at imaging and pathology data so staff can better diagnose patients faster and quicker, he says.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Altexsoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. What is the main difference between a data architect and a data engineer? By the way, we have a video dedicated to the data engineering working principles.

Data 87

Data Data Engineering Big Data Architecture 87

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.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

Exadel

FEBRUARY 20, 2023

If you want to experiment with AI or go live with your solution, there are three widely known vendors: Amazon, Google, and Azure. Amazon For Cloud Artificial Intelligence Amazon began by making storage and virtual machines. Azure Machine Learning lets you accelerate and manage ML-based projects.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Ingestion zone is where data is collected from various sources and ingested into the data lake. Storage zone is where the raw data is stored in its original format.

Engineering 52

Engineering Data Storage AWS 52

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

In 2019, CIOs will have to optimize applications of the newest cloud technology in response to their requirements. This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform. Private clouds are not simply existing data centers running virtualized, legacy workloads.

Cloud 78

Cloud Google Cloud Azure AWS 78

Cloudera

SEPTEMBER 1, 2020

It is hard to believe if you have had previous experience with setting up, sizing, and deploying a distributed search engine service that this is possible. Imagine how many times IT has lost valuable time spending hours trying to understand Apache Solr application requirements and map them into how to best size and deploy the Solr service.

Data 71

Data Backup Disaster Recovery Storage 71

Cloudera

NOVEMBER 6, 2017

A noteworthy point is that Cloudera complements popular cloud services, such as Amazon Web Services (AWS) and Microsoft Azure. Simply choose the AWS or Azure compute instances, class of storage, and go. Instead, users can immediately begin to build data pipelines and run jobs for their applications.

Cloud 40

Cloud Azure Analytics AWS 40

Altexsoft

AUGUST 19, 2022

You get 10GB of cloud storage and can upload 1GB of data at a time. Power BI Pro and Power BI Premium (these are sometimes referred to as Power BI Service) are more feature-rich, paid services hosted on the Microsoft Azure cloud. and data warehouses (SAP Business Warehouse Server, Snowflake , Google BigQuery, Redshift, etc.);

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Linux Academy

MAY 7, 2019

Microsoft has restructured its Azure certifications into a role-based model that it states will more directly focus on the building of skills and knowledge aligned to job roles. And there currently are seven Azure based certifications spread across these three levels. Microsoft Certified Azure Administrator ( Associate ).

Azure 150

Azure Linux Technical Review Course 150

TIBCO - Connected Intelligence

APRIL 22, 2021

In its annual Worldwide Global Datasphere Forecast, 2019-2023, IDC projected that only 15% of annual data growth is actually net new data. That means 85% of data growth results from copying data you already have. Business-friendly data views simplify access and hide IT complexity.

Sustainability 46

Sustainability Virtualization Data Energy 46

Linux Academy

MAY 7, 2019

Microsoft has restructured its Azure certifications into a role-based model that it states will more directly focus on the building of skills and knowledge aligned to job roles. And there currently are seven Azure based certifications spread across these three levels. Microsoft Certified Azure Administrator ( Associate ).

Azure 134

Azure Linux Technical Review Course 134

ParkMyCloud

JANUARY 17, 2020

Each of the ‘big three’ cloud providers (AWS, Azure, GCP) offer a number of cloud certification options that individuals can get to validate their cloud knowledge and skill set, while helping them advance in their careers and broaden the scope of their achievements. . Can demonstrate how to build and deploy applications on AWS.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

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 85

Storage Cloud Azure Pharmaceuticals 85

Perficient

FEBRUARY 16, 2024

It builds on top of existing file systems like Amazon S3, Azure Blob Storage, and Hadoop HDFS, providing a layer of abstraction and additional functionalities for Spark applications. DBFS provides a unified interface to access data stored in various underlying storage systems. How does DBFS work?

System 52

System Storage Azure Big Data 52

Linux Academy

MAY 7, 2019

Microsoft has restructured its Azure certifications into a role-based model that it states will more directly focus on the building of skills and knowledge aligned to job roles. And there currently are seven Azure based certifications spread across these three levels. Microsoft Certified Azure Administrator ( Associate ).

Azure 60

Azure Linux Technical Review Course 60

Datavail

JUNE 15, 2023

The Microsoft Fabric announcement at Microsoft Build 2023 has caused quite a stir in the data and analytics world. Microsoft Fabric is an all-in-one analytics solution that brings together seven Azure services on a shared SaaS foundation, in a unified experience combined with AI. Both structured and unstructured data are supported.

Azure 52

Azure Analytics Storage Generative AI 52

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. Stream processing.

Analytics 20

Analytics Data IoT Analysis 20

Altexsoft

JANUARY 14, 2021

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. What is a data warehouse?

Backup 115

Backup Azure Software Review Systems Review 115

O'Reilly Media - Ideas

JANUARY 25, 2024

Who wants to learn about design patterns or software architecture when some AI application may eventually do your high-level design? Legacy applications won’t be improved by refactoring existing code just to use some pattern, but design patterns are useful for extending existing software and making it more flexible.

Trends 120

Trends Technical Review Technology Artificial Inteligence 120

Cloudera

SEPTEMBER 28, 2021

The Ranger Authorization Service (RAZ) is a new service added to help provide fine-grained access control (FGAC) for cloud storage. RAZ for S3 and RAZ for ADLS introduce FGAC and Audit on CDP’s access to files and directories in cloud storage making it consistent with the rest of the SDX data entities.

Groups 64

Groups Cloud AWS Data 64

Altexsoft

MARCH 31, 2020

That means your website must quickly process lots of transactions involving small amounts of data like order ID and details, user ID, or credit card data. Online transaction processing ( OLTP ) systems, namely databases and applications like a shopping cart, make it possible for an eCommerce business to work non-stop as it should do.

Data 76

Data Storage Analytics Data Center 76

Cloudera

FEBRUARY 8, 2022

COD enables customers to deliver prototypes within an hour in a cloud of your choice — AWS and Azure are generally available, GCP is available in Tech Preview — with the power to effortlessly scale to petabytes of data. Evolutionary schema is supported. What the users are saying in Gartner Peer Insights rating for COD.

System 69

System Cloud Azure AWS 69

Cloudera

MAY 13, 2021

Fixed Reports / Data Engineering jobs . Often mission-critical to the various lines of business (risk analytics, platform support, or data engineering), which hydrate critical data pipelines for downstream consumption. Fixed Reports / Data Engineering Jobs. Data Engineering jobs only.

Data Engineering 74

Data Engineering Cloud Weak Development Team Resources 74

Xebia

JANUARY 9, 2024

To solve this problem it is possible to build a subsequent step in the form of a script or application to parse these artifact files and store them somewhere. However, this requires a lot of custom engineering work and is not an easy task. Elementary Data Elementary Data consists of two components, a dbt package and a CLI application.

Testing 130

Testing Data Open Source Google Cloud 130

Altexsoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. It depends on the volume of incoming data.

Big Data 59

Big Data Data Google Cloud Storage 59

Cloudera

DECEMBER 15, 2022

With CDP, customers can deploy storage, compute, and access, all with the freedom offered by the cloud, avoiding vendor lock-in and taking advantage of best-of-breed solutions. Read why the future of data lakehouses is open. Enhanced multi-function analytics. Replay our meetup Apache Iceberg: Looking Below the Waterline.

Cloud 82

Cloud Data Analytics Artificial Inteligence 82

Altexsoft

APRIL 16, 2021

Later, this data can be: modified to maintain the relevance of what was stored, used by business applications to perform its functions, for example check product availability, etc. An overview of data warehouse types. What is data pipeline. This could be a transactional database or any other storage we take data from.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Daniel Bryant

SEPTEMBER 13, 2019

In relation to this, the HashiCorp Cloud Operating Model was once again on full display, and I believe that this is a very useful tool to help understand and plan the evolution of applications and infrastructure. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven?

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

Kentik

MARCH 7, 2023

Have full data context. Instrumenting business, application, and operational context to network telemetry give operators multifaceted views of traffic and behavior. Rich context and real-time datasets allow network engineers to dynamically filter, drill down, and map networks as queries adjust.

Network 99

Network Cloud Data Case Study 99

Altexsoft

APRIL 26, 2022

Before we start with the Snowflake technology, it’s important to deal with the key concepts of data warehousing for a common understanding. The main idea of any data warehouse (DW) is to integrate data from multiple disjointed sources (e.g., CRMs, OLAP/OLTP databases, enterprise applications, etc.) What is Snowflake?

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

ParkMyCloud

MAY 29, 2019

As more and more enterprises drive value from container platforms, infrastructure-as-code solutions, software-defined networking, storage, continuous integration/delivery, and AI, they need people and skills on board with ever more niche expertise and deep technological understanding. IoT Engineer. Cloud Talent Demand Trends.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Altexsoft

JULY 19, 2022

No matter how ridiculous it may sound, the famous quote is applicable to the technology world in many ways. In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. “New is always better.”.

Architecture 52

Architecture Data Analytics Data Engineering 52