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

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. 4xlarge nodes was used.

Data Engineering 85

Data Engineering Performance Engineering Data 85

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

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

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

TIBCO - Connected Intelligence

AUGUST 10, 2020

Taking action to leverage your data is a multi-step journey, outlined below: First, you have to recognize that sticking to the status quo is not an option. Your data demands, like your data itself, are outpacing your data engineering methods and teams. Data Virtualization’s Value Propositions at a Glance .

Virtualization 69

Virtualization Data How To Data Engineering 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 103

Data AWS Groups Knowledge Base 103

CIO

FEBRUARY 13, 2023

Hot: AI and VR/AR With digital transformations moving at full throttle, and a desire to stay innovative, it should come as no surprise that use cases for virtual reality, augmented reality, and artificial intelligence continue to grow in several verticals. On-prem infrastructure will grow cold — with the exception of storage, Nardecchia says.

Budget 218

Budget Artificial Inteligence Technical Review VR 218

Cloudera

SEPTEMBER 29, 2020

On CDW, when you provision a Virtual Warehouse against your Data Catalog (catalog of table and views), the platform provides fully tuned LLAP worker nodes ready to run your queries. Once the benchmark run has completed, the Virtual Warehouse automatically suspends itself when no further activity is detected.

Azure 120

Azure Data Comparison Virtualization 120

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. Is it still so?

Backup 115

Backup Azure Software Review Architecture 115

CIO

JUNE 22, 2023

There’s a high demand for software engineers, data engineers, business analysts and data scientists, as finance companies move to build in-house tools and services for customers. There’s typically a high demand for multimedia developers, video game developers, virtual reality developers, and production technologists.

Industry 183

Industry UI/UX Telecommunications Quality Assurance 183

CIO

FEBRUARY 14, 2023

This has also accelerated the execution of edge computing solutions so compute and real-time decisioning can be closer to where the data is generated. Augmented or virtual reality, gaming, and the combination of gamification with social media leverages AI for personalization and enhancing online dynamics.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

Erik Bernhardsson

DECEMBER 6, 2022

I'm deliberately vague about what exact role I mean here: take it to mean data engineers, data scientists, ML engineers, analytics engineers, and maybe more roles. ↩︎ To be clear: I would still recommend every data person to learn a lot about “traditional” software engineering!

Fractional CTO 242

Fractional CTO CTO Coach Software Engineering Serverless 242

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. As long as you start with a solid cloud data management foundation.

Cloud 111

Cloud Data Compliance Analytics 111

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. Data Virtualization: One Greener Method to Address Four Opportunities.

Sustainability 46

Sustainability Virtualization Data Energy 46

Cloudera

SEPTEMBER 21, 2021

Many customers looking at modernizing their pipeline orchestration have turned to Apache Airflow, a flexible and scalable workflow manager for data engineers. A provider could be used to make HTTP requests, connect to a RDBMS, check file systems (such as S3 object storage), invoke cloud provider services, and much more.

Off-The-Shelf 99

Off-The-Shelf Data Engineering Virtualization Cloud 99

CIO

JANUARY 19, 2024

The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect. The exam consists of 60 questions and the candidate has 90 minutes to complete it.

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

Kentik

APRIL 4, 2023

Be it power supplies, servers, routers, load balancers, proxies, or any other physical and virtual network components, the horizontal scaling that redundancy provides is the ultimate safety net in the presence of failure or atypical traffic demands.

Network 104

Network Load Balancer Cloud Backup 104

Cloudera

MAY 18, 2021

Second, since IaaS deployments replicated the on-premises HDFS storage model, they resulted in the same data replication overhead in the cloud (typical 3x), something that could have mostly been avoided by leveraging modern object store. Storage costs. using list pricing of $0.72/hour hour using a r5d.4xlarge

Cloud 86

Cloud Technical Review Storage Backup 86

Cloudera

JULY 11, 2023

Impala) and storage (i.e. This also enables advanced scenarios where customers can connect multiple CDW Virtual Clusters to different real-time data mart clusters to connect to a Kudu cluster specific for their workloads. In this blog we will explain how to integrate them together to achieve separation of compute (i.e.

Data 70

Data Virtualization Pharmaceuticals Storage 70

Altexsoft

JUNE 7, 2021

Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. The keyword here is distributed since the data quantities in question are too large to be accommodated and analyzed by a single computer. Virtually, Hadoop puts no limits on the storage capacity. scalability.

Big Data 98

Big Data Tools Data Storage 98

Altexsoft

OCTOBER 24, 2019

Similar to humans companies generate and collect tons of data about the past. And this data can be used to support decision making. While our brain is both the processor and the storage, companies need multiple tools to work with data. And one of the most important ones is a data warehouse. Subject-oriented data.

Architecture 50

Architecture Enterprise Data Technical Review 50

Data Virtualization

OCTOBER 14, 2020

The business value of applying data science in organizations is incontestable. Data science work can be divided into analytical and data preparation work. Examples of data preparation activities. Prescriptive and descriptive models can help improve business and decision making processes.

Data 59

Data Virtualization Analytics Examples 59

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

Tenable

JANUARY 11, 2022

Windows Storage. Windows Storage Spaces Controller. Windows Task Flow Data Engine. Windows Tile Data Repository. Windows Virtual Machine IDE Drive. Windows Security Center. Windows StateRepository API. Windows System Launcher. Windows UEFI. Windows UI Immersive Server. Windows User Profile Service.

Windows 106

Windows Internet Open Source Storage 106

AWS Machine Learning - AI

AUGUST 8, 2024

Managing and retrieving the right information can be complex, especially for data analysts working with large data lakes and complex SQL queries. Looker is an enterprise platform for BI and data applications that helps data analysts explore and share insights in real time.

Artificial Inteligence 106

Artificial Inteligence Data Generative AI AWS 106

Xebia

JUNE 9, 2023

This worked out great until I tried to follow a tutorial written by a colleague which used the Azure Python SDK to create a dataset and upload it to an Azure storage account. How it started out When installing software on my new MacBook Pro M2, I started out with a fresh install instead of restoring from a back-up.

Azure 130

Azure Architecture Software Storage 130

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 62

Groups Cloud Data AWS 62

Cloudera

NOVEMBER 22, 2021

In addition, data pipelines include more and more stages, thus making it difficult for data engineers to compile, manage, and troubleshoot those analytical workloads. Those incremental costs derive from a variety of reasons: Increased data processing costs associated with legacy deployment types (e.g., CRM platforms).

Scalability 94

Scalability Data Technical Review Analytics 94

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Storage provisioning.

Big Data 63

Big Data Data Storage Microservices 63

Hu's Place - HitachiVantara

JANUARY 3, 2019

Data curation will be a focus to understand the meaning of the data as well as the technologies that are applied to the data so that data engineers can move and transform the essential data that data consumers need to power the organization.

Trends 86

Trends Artificial Inteligence Machine Learning Data Center 86

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Artificial Inteligence Machine Learning Software Review 64

Cloudera

JANUARY 20, 2021

STEP 3: Monitor data throughput from each factory. With all the data now flowing into individual Kafka streams, a data architect is monitoring data throughput from each factory as well as adjusting compute and storage resources needed to make sure that each factory has the required throughput to send data into the platform.

Data 110

Data Artificial Inteligence Analytics Machine Learning 110

Altexsoft

SEPTEMBER 10, 2021

Organizations have different requirements and needs regarding data integrity. For this reason, there are various types of data integration. The key ones are data consolidation, data virtualization, and data replication. These types define the underlying principles of integrating data.

Tools 52

Tools Data Software Review Technical Review 52

Altexsoft

APRIL 26, 2022

The data journey from different source systems to a warehouse commonly happens in two ways — ETL and ELT. The former extracts and transforms information before loading it into centralized storage while the latter allows for loading data prior to transformation. Each node has its own disk storage. Database storage layer.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

TIBCO - Connected Intelligence

DECEMBER 14, 2020

On-premises, cloud, hybrid, and multi-cloud are just some of the locations where your data is now stored. Each provides value in an increasing data driven business climate. Today’s best compute and storage options will be surpassed tomorrow. On the consumption side, your demand for data has never been higher.

Virtualization 26

Virtualization Data Architecture Agile 26

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. OCPU hours.

Infrastructure 52

Infrastructure Cloud Data Linux 52