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

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. What is Azure Key Vault Secret?

Azure 91

Azure Analytics Storage Artificial Inteligence 91

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. Test Drive CDP Pubic Cloud.

Data Engineering 118

Data Engineering Technical Review Software Review Engineering 118

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

CIO

OCTOBER 9, 2024

Yet, it is the quality of the data that will determine how efficient and valuable GenAI initiatives will be for organizations. For these data to be utilized effectively, the right mix of skills, budget, and resources is necessary to derive the best outcomes.

Strategy 215

Strategy Data Artificial Inteligence Storage 215

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 Machine Learning 98

Cloudera

SEPTEMBER 2, 2021

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. Normally on-premises, one of the key challenges was how to allocate resources within a finite set of resources (i.e., fixed sized clusters).

Data Engineering 85

Data Engineering Performance Engineering Data 85

Netflix Tech

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 84

Storage Data Resources Data Engineering 84

Erik Bernhardsson

DECEMBER 15, 2020

Decades ago, software engineering was hard because you had to build everything from scratch and solve all these foundational problems. You need storage to build something to serve 1M concurrent users? Factories in the age of steam engines were built around power distribution from the almighty steam engines.

Software Engineering 325

Software Engineering Engineering Tools Software 325

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

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. Data-obsessed individuals such as Sherlock Holmes knew full well the importance of inferencing in making predictions, or in his case, solving mysteries.

Artificial Inteligence 203

Artificial Inteligence Generative AI Storage Artificial Intelligence 203

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

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

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

TechCrunch

DECEMBER 1, 2020

That will include more remediation once problems are identified: that is, in addition to identifying issues, engineers will be able to start automatically fixing them, too. And as data workloads continue to grow in size and use, they continue to become ever more complex. Doing so manually can be time-consuming, if not impossible.

Tools 214

Tools Data Weak Development Team Big Data 214

TechCrunch

APRIL 12, 2022

But implementing and maintaining the data pipelines necessary to keep AI systems from drifting to inaccuracy can require substantial technical resources. That’s where Flyte comes in — a platform for programming and processing concurrent AI and data analytics workflows.

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

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

These network, security, and cloud changes allow us to shift resources and spend less on-prem and more in the cloud.” 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.

Budget 218

Budget Artificial Inteligence Technical Review VR 218

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

Mobilunity

AUGUST 3, 2021

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.

Big Data 52

Big Data Data Engineering Engineering Data 52

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

Netflix Tech

FEBRUARY 14, 2025

This refined output is then structured using an Avro schema, establishing a definitive source of truth for Netflixs impression data. The enriched data is seamlessly accessible for both real-time applications via Kafka and historical analysis through storage in an Apache Iceberg table.

Systems Review 66

Systems Review Technical Review Data Metrics 66

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

O'Reilly Media - Data

JULY 18, 2018

I list a few examples from the media industry, but there are are numerous new startups that collect aerial imagery, weather data, in-game sports data , and logistics data, among other things. If you are an aspiring entrepreneur, note that you can build interesting and highly valued companies by focusing on data.

Machine Learning 195

Machine Learning Artificial Inteligence Data Marketing 195

AWS Machine Learning - AI

MARCH 13, 2025

The customer interaction transcripts are stored in an Amazon Simple Storage Service (Amazon S3) bucket. This shift enabled MaestroQA to channel their efforts into optimizing application performance rather than grappling with resource allocation. The following architecture diagram demonstrates the request flow for AskAI.

Generative AI 97

Generative AI CTO Coach AWS Artificial Inteligence 97

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 19, 2024

Platform engineering teams work closely with both IT and business teams, fostering collaboration within the organization,” he says. AI is 100% disrupting platform engineering,” Srivastava says, so it’s important to have the skills in place to exploit that. “As

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

AWS Machine Learning - AI

NOVEMBER 15, 2024

The first data source connected was an Amazon Simple Storage Service (Amazon S3) bucket, where a 100-page RFP manual was uploaded for natural language querying by users. The data source allowed accurate results to be returned based on indexed content. Joel Elscott is a Senior Data Engineer on the Principal AI Enablement team.

Generative AI 111

Generative AI AWS Groups Artificial Inteligence 111

Hu's Place - HitachiVantara

APRIL 11, 2019

Few if any data management frameworks are business focused, to not only promote efficient use of data and allocation of resources, but also to curate the data 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.

Data Engineering 81

Data Engineering Artificial Inteligence Machine Learning Technical Review 81

Cloudera

MAY 18, 2021

First, it doesn’t fully (or, in most instances, at all) leverage the elastic capabilities of the cloud deployment model, i.e., the ability to scale up and down compute resources . that optimizes autoscaling for compute resources compared to the efficiency of VM-based scaling. . Storage costs. using list pricing of $0.72/hour

Cloud 86

Cloud Technical Review Storage Backup 86

Xebia

OCTOBER 23, 2024

ADF is a Microsoft Azure tool widely utilized for data ingestion and orchestration tasks. A typical scenario for ADF involves retrieving data from a database and storing it as files in an online blob storage, which applications can utilize downstream. An Azure Key Vault is created to store any secrets.

Azure 130

Azure Software Review Technical Review Resources 130

Tenable

NOVEMBER 3, 2022

When our data engineering team was enlisted to work on Tenable One, we knew we needed a strong partner. When Tenable’s product engineering team came to us in data engineering asking how we could build a data platform to power the product, we knew we had an incredible opportunity to modernize our data stack.

Data 98

Data AWS Storage Data Engineering 98

Cloudera

OCTOBER 13, 2021

On-premises, traditional data and analytics clusters are monolithic deployments of tight coupled compute and storage, unable to cope with current business demands of fast and agile use case deployment with services that are statically provisioned to physical infrastructure. Move to more Data Services. Take the first step.

Data Center 98

Data Center Cloud Data How To 98

Cloudera

APRIL 22, 2021

Today’s enterprise data analytics teams are constantly looking to get the best out of their platforms. Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Supports Disaggregation of compute and storage.

Data 101

Data Storage Architecture Big Data 101

Altexsoft

APRIL 16, 2021

An overview of data warehouse types. Optionally, you may study some basic terminology on data engineering or watch our short video on the topic: What is data engineering. 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