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

AWS Machine Learning - AI

NOVEMBER 15, 2024

It was important for Principal to maintain fine-grained access controls and make sure all data and sources remained secure within its environment. Principal needed a solution that could be rapidly deployed without extensive custom coding. The data source allowed accurate results to be returned based on indexed content.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

Netflix Tech

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineering 82

Data Engineering Engineering Data Generative AI 82

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

MAY 18, 2022

. “At the time, we all worked at different companies and in different industries yet shared the same struggle with model accuracy due to poor-quality training data. We agreed that the only viable solution was to have internal teams with domain expertise be responsible for annotating and curating training data.

Open Source 203

Open Source Weak Development Team Data Artificial Inteligence 203

AWS Machine Learning - AI

APRIL 23, 2025

Archival data in research institutions and national laboratories represents a vast repository of historical knowledge, yet much of it remains inaccessible due to factors like limited metadata and inconsistent labeling. Multiple specialized Amazon Simple Storage Service Buckets (Amazon S3 Bucket) store different types of outputs.

Artificial Inteligence 68

Artificial Inteligence Open Source AWS Serverless 68

Honeycomb

APRIL 21, 2025

The thing is, as much as we want it to not be true, no product or tool can magically maximize the value of your telemetry dataat least not without gobs of human input, oversight, and review. The idea that telemetry data needs to be managed, or needs a strategy, draws a lot of inspiration from the data world (as in, BI and Data Engineering).

Strategy 52

Strategy Data Technical Review Software Review 52

CIO

FEBRUARY 13, 2023

This applies to his IT group as well, specifically, in using AI to automate the review of customer contracts, Nardecchia says. 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

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. This greatly increases data processing capabilities.

Big Data 75

Big Data Data Engineering Engineering Data 75

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

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 111

Data AWS Groups Knowledge Base 111

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 Systems Review 115

AWS Machine Learning - AI

JUNE 18, 2024

As of this writing, Ghana ranks as the 27th most polluted country in the world , facing significant challenges due to air pollution. Cost-effective – The solution should only invoke LLM to generate reusable code on an as-needed basis instead of manipulating the data directly to be as cost-effective as possible.

Generative AI 132

Generative AI Artificial Inteligence Technical Review AWS 132

CIO

JUNE 7, 2022

Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. Data analytics and data science are closely related.

Analytics 203

Analytics Data Analysis Business Analytics 203

Xebia

OCTOBER 23, 2024

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. Example ingestion process using ADF ADF provides a GUI allowing users to easily create pipelines connecting various data sources with their targets.

Azure 130

Azure Software Review Technical Review Resources 130

AWS Machine Learning - AI

JULY 15, 2024

Today, Mixbook is the #1 rated photo book service in the US with 26 thousand five-star reviews. Data intake A user uploads photos into Mixbook. The raw photos are stored in Amazon Simple Storage Service (Amazon S3). S3, in turn, provides efficient, scalable, and secure storage for the media file objects themselves.

Generative AI 121

Generative AI Artificial Inteligence AWS Technical Review 121

AWS Machine Learning - AI

MARCH 18, 2025

Additionally, the complexity increases due to the presence of synonyms for columns and internal metrics available. To evaluate the models accuracy and track the mechanism, we store every user input and output in Amazon Simple Storage Service (Amazon S3). The FM generates the SQL query based on the final input. Sonnet on Amazon Bedrock.

Artificial Inteligence 110

Artificial Inteligence Applications Generative AI Off-The-Shelf 110

Hu's Place - HitachiVantara

APRIL 11, 2019

According to the Harvard Business Review , " Cross-industry studies show that on average, less than half of an organization’s structured data is actively used in making decisions—and less than 1% of its unstructured data is analyzed or used at all.

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

Altexsoft

NOVEMBER 28, 2019

The number of business domains the data comes from can be large. Thanks to Earth there is a software for everything. Let’s break them down: A data source layer is where the raw data is stored. Those are any of your databases, cloud-storages, and separate files filled with unstructured data.

Business Intelligence 22

Business Intelligence Development Technical Review Storage 22

Altexsoft

DECEMBER 4, 2020

Hardware and software become obsolete sooner than ever before. So data migration is an unavoidable challenge each company faces once in a while. Transferring data from one computer environment to another is a time-consuming, multi-step process involving such activities as planning, data profiling, testing, to name a few.

Software Review 69

Software Review Software Data Technical Review 69

CIO

JUNE 14, 2023

Certified Analytics Professional The Certified Analytics Professional (CAP) credential is a vendor- and technology-neutral analytics certification that certifies end-to-end understanding of the analytics process, from framing business and analytic problems to acquiring data, methodology, model building, deployment, and model lifecycle management.

Big Data 190

Big Data Analytics Data eLearning 190

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

Xebia

JANUARY 30, 2025

And that some people in your company should be allowed to view that personal data, while others should not. And let’s say you have an employees table that looks like this: employee_id first_name yearly_income team_name 1 Marta 123.456 Data Engineers 2 Tim 98.765 Data Analysts You could provide access to this table in different ways.

Data 130

Data Groups Data Engineering Systems Review 130

Cloudera

APRIL 1, 2024

Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics. Our customers run some of the world’s most innovative, largest, and most demanding data science, data engineering, analytics, and AI use cases, including PB-size generative AI workloads.

Cloud 105

Cloud Artificial Inteligence Generative AI Analytics 105

Altexsoft

MARCH 18, 2021

The approach is possible thanks to the modern technologies that allow for storing and processing huge volumes of data in any format. This includes Apache Hadoop , an open-source software that was initially created to continuously ingest data from different sources, no matter its type. Key stages of the ETL and ELT processes.

Systems Review 109

Systems Review Technical Review Software Review Big Data 109

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 128

Artificial Inteligence Data Generative AI AWS 128

AWS Machine Learning - AI

JUNE 21, 2024

eSentire has over 2 TB of signal data stored in their Amazon Simple Storage Service (Amazon S3) data lake. This further step updates the FM by training with data labeled by security experts (such as Q&A pairs and investigation conclusions). The following diagram visualizes the architecture diagram and workflow.

Artificial Inteligence 126

Artificial Inteligence Generative AI AWS Serverless 126

d2iq

FEBRUARY 19, 2021

As little as 5% of the code of production machine learning systems is the model itself. The model itself (purple) accounts for as little as 5% of the code of a machine learning system. These tasks are usually split over a data engineer, a data scientist, and a machine learning engineer.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

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

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

Altexsoft

MARCH 30, 2023

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? The answer is simple: They use the same technology to make the most of data. How data engineering works in 14 minutes.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

O'Reilly Media - Ideas

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). Why AI software development is different. AI products are automated systems that collect and learn from data to make user-facing decisions.

Product Management 145

Product Management Artificial Inteligence Machine Learning Weak Development Team 145

Netflix Tech

FEBRUARY 9, 2022

any business logic code in a raw (e.g. JAR) form to be executed as part of the user defined data pipeline. data pipeline ?—?a DAG) for the purpose of transforming data using some business logic. Or what if Alice wanted to add new backup functionality and she accidentally broke existing code while updating it?

Data 84

Data Testing Software Review Systems Review 84

Altexsoft

FEBRUARY 22, 2022

And breakdowns are just too expensive, especially at a fleet-wide scale (not to mention risking drivers’ lives, losses due to unfulfilled contracts and related downtime, and customer dissatisfaction). Data is gathered from connected sensors and analyzed so that predictions of possible failures can be generated.

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

FEBRUARY 10, 2021

New approaches arise to speed up the transformation of raw data into useful insights. Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. CI /CD for data operations. Treat data as code.

Analytics 75

Analytics DevOps Development Software Review 75

Altexsoft

DECEMBER 9, 2020

In many cases, there is even no desire to put effort and resources into developing analytical capabilities, mostly due to the lack of knowledge. Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software.

Analytics 102

Analytics Technical Review Technology Applications 102

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. Batched and scripted. Report Format.

Data Engineering 73

Data Engineering Cloud Weak Development Team Resources 73