Datavail

JUNE 20, 2023

Percona Live 2023 was an exciting open-source database event that brought together industry experts, database administrators, data engineers, and IT leadership. Percona Live 2023 Session Highlights The three days of the event were packed with interesting open-source database sessions!

Open Source 52

Open Source Database Administration Survey AWS 52

TechCrunch

AUGUST 8, 2022

. “[Livneh founded Equalum] to bring simplicity to the data integration market and to enable … organizations to make decisions based on real-time data rather than historical and inaccurate data.” ” Image Credits: Equalum. mixes of on-premises and public cloud infrastructure).

Company 191

Company Data Google Cloud Cloud 191

CIO

JULY 10, 2023

His role now encompasses responsibility for data engineering, analytics development, and the vehicle inventory and statistics & pricing teams. The company was born as a series of print buying guides in 1966 and began making its data available via CD-ROM in the 1990s. Often, we want to share data between each other,” he says.

Infrastructure 246

Infrastructure Artificial Inteligence Data Generative AI 246

Battery Ventures

OCTOBER 7, 2020

The research pinpointed some of the mega-trends—including cloud computing and the rise of open-source technology—that are upending today’s huge enterprise-IT market as organizations across industries push to digitize their operations by modernizing their technology stacks.

Open Source 144

Open Source Cloud Google Cloud Azure 144

Apiumhub

NOVEMBER 20, 2023

Andrea Tosato – Software Architect at Open Job Metis Andrea is a green software speaker, Microsoft MVP in Azure, and Developer Technologies, recognized for outstanding contributions. He has made significant contributions to various books and actively maintains multiple open-source projects.

Fractional CTO 81

Fractional CTO Software CTO Sustainability 81

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. Vertex AI leverages a combination of data engineering, data science, and ML engineering workflows with a rich set of tools for collaborative teams.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

Capgemini

JANUARY 17, 2023

By creating a lakehouse, a company gives every employee the ability to access and employ data and artificial intelligence to make better business decisions. Many organizations that implement a lakehouse as their key data strategy are seeing lightning-speed data insights with horizontally scalable data-engineering pipelines.

Strategy 52

Strategy Technical Review Data Artificial Inteligence 52

Cloudera

DECEMBER 11, 2020

In a previous blog post on CDW performance, we compared Azure HDInsight to CDW. In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to EMR 6.0 (also powered by Apache Hive-LLAP) on Amazon using the TPC-DS 2.9 Amazon recently announced their latest EMR version 6.1.0

Performance 106

Performance Data Comparison Virtualization 106

ParkMyCloud

DECEMBER 11, 2020

If you know where to look, open-source learning is a great way to get familiar with different cloud service providers. . With the combined knowledge from our previous blog posts on free training resources for AWS and Azure , you’ll be well on your way to expanding your cloud expertise and finding your own niche.

Google Cloud 97

Google Cloud Training Resources Cloud 97

Apiumhub

AUGUST 12, 2021

Gema Parreño Piqueras – Lead Data Science @Apiumhub Gema Parreno is currently a Lead Data Scientist at Apiumhub, passionate about machine learning and video games, with three years of experience at BBVA and later at Google in ML Prototype. Furthermore, Microsoft has recognized him as Microsoft Azure MVP for the past eleven years.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Xebia

FEBRUARY 25, 2024

Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. 2 In general, the flow of data from machine to the data engineer (1) is well operationalized. You could argue the same about the data engineering step (2) , although this differs per company.

Applications 130

Applications Technical Review Software Review Azure 130

Cloudera

JUNE 7, 2022

Sure we can help you secure, manage, and analyze PetaBytes of structured and unstructured data. We do that on-prem with almost 1 ZB of data under management – nearly 20% of that global total. We can also do it with your preferred cloud – AWS, Azure or GCP. The future is hybrid data, embrace it.

Data 106

Data Architecture Analytics Government 106

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Temporal data and time-series analytics. Forecasting Financial Time Series with Deep Learning on Azure”. Foundational data technologies. Machine learning and AI require data—specifically, labeled data for training models. AI and machine learning in the enterprise. Deep Learning. Graph technologies and analytics.

Big Data 86

Big Data Technology Tools Cloud 86

O'Reilly Media - Ideas

APRIL 19, 2021

The biggest skills gaps were ML modelers and data scientists (52%), understanding business use cases (49%), and data engineering (42%). A second group of tools, including Amazon’s SageMaker (25%), Microsoft’s Azure ML Studio (21%), and Google’s Cloud ML Engine (18%), clustered around 20%, along with Spark NLP and spaCy.

Enterprise 144

Enterprise Survey Weak Development Team Education 144

Cloudera

SEPTEMBER 1, 2020

Solr is a standard and open source, commonly adopted text search engine with rich query APIs for performing analytics over text and other unstructured data. It is also possible to use CDP Data Hub Data Flow for real-time events or log data coming in that you want to make searchable via Solr. -i

Data 66

Data Backup Disaster Recovery Storage 66

Xebia

MAY 16, 2023

TL;DR : Kedro is an open-source data pipeline framework that simplifies writing code that works on multiple cloud platforms. If you want to improve your data pipeline development skills and simplify adapting code to different cloud platforms, Kedro is a good choice. In other words, respectable, yet unnecessary efforts.

Cloud 130

Cloud Data Azure Open Source 130

O'Reilly Media - Ideas

JANUARY 25, 2024

Our own theory is that it’s a reaction to GPT models leaking proprietary code and abusing open source licenses; that could cause programmers to be wary of public code repositories. This change is apparently not an error in the data. If you want to run an open source language model on your laptop, try llamafile.)

Trends 116

Trends Technical Review Technology Artificial Inteligence 116

CIO

AUGUST 18, 2022

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

Datavail

JUNE 8, 2023

From DBA to Data Engineer—The Strategic Role of DBAs in the Cloud Over the past few years, the IT landscape has experienced significant disruptions. Additionally, he highlighted the need for DBAs to have a deep understanding of cloud platforms like Amazon Web Services (AWS) and Microsoft Azure.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 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.

Analytics 20

Analytics Data IoT Analysis 20

Xebia

JANUARY 9, 2024

However, this requires a lot of custom engineering work and is not an easy task. Besides that you need to create a dashboard on top of this artifact data, to get meaningful insights out of it. Luckily, there is an open-source solution for this called Elementary Data.

Testing 130

Testing Data Open Source Google Cloud 130

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. Source: Apache Airflow.

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

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. How data engineering works under the hood.

Big Data 59

Big Data Data Google Cloud Storage 59

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. Creating a cube is a custom process each time, because data can’t be updated once it was modeled in a cube.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Source: Qubole. Please note!

Tools 52

Tools Software Review Systems Review Testing 52

Daniel Bryant

SEPTEMBER 13, 2019

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. 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

Altexsoft

OCTOBER 8, 2021

Usually, data integration software is divided into on-premise, cloud-based, and open-source types. On-premise data integration tools. As the name suggests, these tools aim at integrating data from different on-premise source systems. Open-source data integration tools. Pricing model.

Tools 52

Tools Data Software Review Open Source 52

Kentik

MARCH 7, 2023

These ETL/ELT servers can provide a standard method of synthesis, which can be replicated across as many servers as it takes to ingest all of the data. This clustering of servers at the beginning of the pipeline enables the growth of data sets beyond the capabilities of most legacy commercial or open source data systems.

Network 99

Network Cloud Data Case Study 99

O'Reilly Media - Ideas

MARCH 1, 2023

Data Data is another very broad category, encompassing everything from traditional business analytics to artificial intelligence. Data engineering was the dominant topic by far, growing 35% year over year. Data engineering deals with the problem of storing data at scale and delivering that data to applications.

Trends 135

Trends Technical Review Technology Software Review 135

Altexsoft

DECEMBER 4, 2020

Three types of data migration tools. Use cases: small projects, specific source and target locations not supported by other solutions. Automation scripts can be written by data engineers or ETL developers in charge of your migration project. Phases of the data migration process. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69

Cloudera

SEPTEMBER 9, 2018

This makes it easy to meet the ever-changing needs of your data teams. Because Cloudera Altus Data Warehouse operates directly over data in your AWS or Microsoft Azure account, you can create security policies that comply with your company’s standards. Using Cloudera Altus for your cloud data warehouse.

Data 40

Data Data Engineering Analytics Cloud 40

John Snow Labs

MAY 24, 2023

Label Studio Label Studio is an open source data annotation tool for labeling multiple types of data. The two important functions of this tool are: – Performing different types of labeling with various data formats. You can install NLP Lab for free via AWS and Azure Marketplaces to boost your AI journey.

Tools 52

Tools Machine Learning Artificial Inteligence Software Review 52

Altexsoft

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

OCTOBER 2, 2020

Data integration and interoperability: consolidating data into a single view. Specialist responsible for the area: data architect, data engineer, ETL developer. They bring data to a single platform giving a cohesive view of the business. Snowflake data management processes. Ensure data accessibility.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

APRIL 26, 2022

Initially built on top of the Amazon Web Services (AWS), Snowflake is also available on Google Cloud and Microsoft Azure. Modern data pipeline with Snowflake technology as its part. Source: Snowflake. BTW, we have an engaging video explaining how data engineering works. As such, it is considered cloud-agnostic.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. For better guidance, we’ve divided existing AutoML offerings into three large groups — tech giants, specific end-to-end AutoML platforms, and free open source libraries.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

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 Machine Learning Artificial Inteligence Software Review 64