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. Meanwhile, some workloads hog resources making others miss defined agreements.

Cloud 111

Cloud Data Compliance Analytics 111

Linux Academy

MAY 7, 2019

Microsoft Certified Azure AI Engineer Associate ( Associate ). Microsoft Certified Azure Data Engineer Associate ( Associate ). It includes major services related to compute, storage, network, and security, and is aimed at those in administrative and technical roles looking to validate administration knowledge in cloud services.

Azure 150

Azure Linux Technical Review Course 150

Linux Academy

MAY 7, 2019

Microsoft Certified Azure AI Engineer Associate ( Associate ). Microsoft Certified Azure Data Engineer Associate ( Associate ). It includes major services related to compute, storage, network, and security, and is aimed at those in administrative and technical roles looking to validate administration knowledge in cloud services.

Azure 134

Azure Linux Technical Review Course 134

AWS Machine Learning - AI

AUGUST 8, 2024

This solution uses Amazon Bedrock, Amazon Relational Database Service (Amazon RDS), Amazon DynamoDB , and Amazon Simple Storage Service (Amazon S3). The workflow consists of the following steps: An end-user (data analyst) asks a question in natural language about the data that resides within a data lake.

Artificial Inteligence 127

Artificial Inteligence Data Generative AI AWS 127

AWS Machine Learning - AI

MARCH 18, 2025

To evaluate the models accuracy and track the mechanism, we store every user input and output in Amazon Simple Storage Service (Amazon S3). It should look something like the following: [link] Choose Generate SQL query to open the chat window. The FM generates the SQL query based on the final input. Sonnet on Amazon Bedrock.

Artificial Inteligence 109

Artificial Inteligence Applications Generative AI Off-The-Shelf 109

Kentik

APRIL 4, 2023

However, arriving at specs for other aspects of network performance requires extensive monitoring, dashboarding, and data engineering to unify this data and help make it meaningful. In this case, choosing to separate the storage traffic from the normal business traffic enhances both performance and reliability.

Network 104

Network Load Balancer Cloud Backup 104

Altexsoft

NOVEMBER 23, 2020

Otherwise, let’s start from the most basic question: What is data migration? What is data migration? In general terms, data migration is the transfer of the existing historical data to new storage, system, or file format. What makes companies migrate their data assets. Main types of data migration.

Data 104

Data Transportation Backup Storage 104

Cloudera

NOVEMBER 2, 2020

It has the key elements of fast ingest, fast storage, and immediate querying for BI purposes. Basic Architecture for Real-Time Data Warehousing. These include stream processing/analytics, batch processing, tiered storage (i.e. for active archive or joining live data with historical data), or machine learning.

Data 97

Data Analytics Storage Big Data 97

Cloudera

APRIL 9, 2021

Legacy data warehouse solutions are often inefficient due to their scale-up architecture, attempting to serve multiple phases of the data lifecycle with a single monolithic architecture, ineffective management and performance tuning tools. . ETL jobs and staging of data often often require large amounts of resources.

Data 58

Data Software Review Technical Review Architecture 58

Cloudera

FEBRUARY 1, 2024

Moreover, it is a period of dynamic adaptation, where documentation and operational protocols will adapt as your data and technology landscape change. This functionality allows our customers to run periodic backups or as needed during business hours and maintenance windows. How does Cloudera support Day 2 operations?

Backup 82

Backup Cloud Architecture Resources 82

Apps Associates

JULY 28, 2022

Use Case 1: Data integration for big data, data lakes, and data science. Efficiently load and transform data at scale into Data Lakes for data science and analytics. Load the data into object storage and create high-quality models more quickly using OCI data science. Only Linux.

Infrastructure 52

Infrastructure Cloud Data Linux 52

Altexsoft

DECEMBER 4, 2020

Three types of data migration tools. Automation scripts can be written by data engineers or ETL developers in charge of your migration project. This makes sense when you move a relatively small amount of data and deal with simple requirements. Phases of the data migration process. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69

Linux Academy

MAY 7, 2019

Microsoft Certified Azure AI Engineer Associate ( Associate ). Microsoft Certified Azure Data Engineer Associate ( Associate ). It includes major services related to compute, storage, network, and security, and is aimed at those in administrative and technical roles looking to validate administration knowledge in cloud services.

Azure 60

Azure Linux Technical Review Course 60

Existek

JANUARY 11, 2022

However, back in 2008, Microsoft hadn’t even imagined the impact building the new software platform, Windows Azure, would have made on the company’s future and its services. In 2010, they launched Windows Azure, the PaaS, positioning it as an alternative to Google App Engine and Amazon EC2. Read the article.

Azure 52

Azure AWS Cloud How To 52

Confluent

OCTOBER 16, 2019

Using this data, Apache Kafka ® and Confluent Platform can provide the foundations for both event-driven applications as well as an analytical platform. With tools like KSQL and Kafka Connect, the concept of streaming ETL is made accessible to a much wider audience of developers and data engineers.

Data 19

Data Training Analytics Applications 19

Cloudera

JANUARY 11, 2021

Requests for IT resources for data and compute services can’t be delayed three to six months, which is how long the typical procurement cycle, machine configuration, and software installation takes. Delays mean losing to competition or the missing the window of a perfect trial. Separate compute from storage. Modern architecture.

Data 63

Data Pharmaceuticals Open Source Artificial Inteligence 63

Cloudera

JUNE 4, 2018

Unstructured content lacks a predefined data model; it must first undergo text extraction, classification, and enrichment to provide intelligence. the client needed an approach to: Simplify data hub ingestion, especially for large volumes of unstructured content. Aspire as a Cloudera Parcel, available in the latest 3.2

Pharmaceuticals 46

Pharmaceuticals Data Big Data Systems Review 46

Altexsoft

AUGUST 19, 2022

Power BI Desktop is a free, downloadable app that’s included in all Office 365 Plans, so all you need to do is sign up, connect to data sources, and start creating your interactive, customizable reports using a drag-and-drop canvas and hundreds of data visuals. You get 10GB of cloud storage and can upload 1GB of data at a time.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Altexsoft

OCTOBER 8, 2021

Data integration process. On the enterprise level, data integration may cover a wider array of data management tasks including. application integration — the process of enabling individual applications to communicate with one another by exchanging data. Data profiling and cleansing. Data profiling and cleansing.

Tools 52

Tools Data Software Review Open Source 52

Altexsoft

DECEMBER 14, 2022

After the success with Linux, Docker partnered with Microsoft bringing containers and their functionality to Windows Server. A container engine acts as an interface between the containers and a host operating system and allocates the required resources. Now the software is available for macOS, too. Common Docker use cases.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Xebia

JANUARY 24, 2025

Databricks is a powerful Data + AI platform that enables companies to efficiently build data pipelines, perform large-scale analytics, and deploy machine learning models. Organizations turn to Databricks for its ability to unify data engineering, data science, and business analytics, simplifying collaboration and driving innovation.

Storage 130

Storage Travel Azure Cloud 130