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 328

Artificial Inteligence Generative AI Storage Artificial Intelligence 328

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

TechCrunch

DECEMBER 1, 2020

DevOps continues to get a lot of attention as a wave of companies develop more sophisticated tools to help developers manage increasingly complex architectures and workloads. “Users didn’t know how to organize their tools and systems to produce reliable data products.”

Tools 214

Tools Data Weak Development Team Big Data 214

TechCrunch

JUNE 2, 2021

Iterative , an open-source startup that is building an enterprise AI platform to help companies operationalize their models, today announced that it has raised a $20 million Series A round led by 468 Capital and Mesosphere co-founder Florian Leibert. He noted that the industry has changed quite a bit since then.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Open Source Data Engineering 249

TechCrunch

MARCH 23, 2022

At that time, the scrappy data analytics company had scooped up $3.5 million in funding to develop its tool for what happens after you’ve collected a bunch of data, namely assembling and organizing it so the data can be analyzed. Data collection isn’t the problem: It’s what companies are doing with it.

Open Source 213

Open Source Data Engineering Strategic Planning Analytics 213

Cloudera

JUNE 26, 2023

Over time, using the wrong tool for the job can wreak havoc on environmental health. Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. So which open source pipeline tool is better, NiFi or Airflow?

Tools 75

Tools Data Engineering Analytics Testing 75

CIO

SEPTEMBER 2, 2022

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. The average salary for a full stack software engineer is $115,818 per year, with a reported salary range of $85,000 to $171,000 per year, according to data from Glassdoor. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. The average salary for a full stack software engineer is $115,818 per year, with a reported salary range of $85,000 to $171,000 per year, according to data from Glassdoor. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

JUNE 14, 2023

The exam tests knowledge of Cloudera Data Visualization, Cloudera Machine Learning, Cloudera Data Science Workbench, and Cloudera Data Warehouse, as well as SQL, Apache Nifi, Apache Hive, and other open source technologies. The exam consists of 40 questions and the candidate has 120 minutes to complete it.

Big Data 317

Big Data Analytics Data eLearning 317

CIO

JUNE 7, 2022

What is data analytics? 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 tools.

Analytics 333

Analytics Data Analysis Business Analytics 333

TechCrunch

AUGUST 4, 2022

While at Metamarkets, the company built a database, based on the open source Apache Druid project. Rill launched in 2020 to build what the founders envisioned as a faster and better BI dashboarding tool, based on what they had learned at Snap.

Open Source 246

Open Source Metrics Business Intelligence Enterprise 246

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 tests your knowledge of and ability to integrate machine learning into various tools and applications.

Artificial Inteligence 317

Artificial Inteligence Data Machine Learning Azure 317

CIO

JULY 14, 2023

But many organizations are limiting use of public tools while they set policies to source and use generative AI models. CIOs want to take advantage of this but on their terms—and their own data. A general LLM won’t be calibrated for that, but you can recalibrate it—a process known as fine-tuning—to your own data.

Generative AI 235

Generative AI Artificial Inteligence Open Source ChatGPT 235

TechCrunch

NOVEMBER 2, 2022

.” Built on top of data warehousing service Snowflake and Google’s BigQuery engine, Y42 ‘s new fully managed service aims to provide businesses with more of the tools to make their data stack easily accessible for more users while also providing additional collaboration tools and improved data governance services.

Data 203

Data Business Intelligence Open Source Government 203

CIO

SEPTEMBER 29, 2023

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. TensorFlow Developed by Google as an open-source machine learning framework, TensorFlow is most used to build and train machine learning models and neural networks.

Generative AI 357

Generative AI ChatGPT Machine Learning Artificial Inteligence 357

TechCrunch

JULY 12, 2022

But building data pipelines to generate these features is hard, requires significant data engineering manpower, and can add weeks or months to project delivery times,” Del Balso told TechCrunch in an email interview. Systems use features to make their predictions. This is a difficult transition for enterprises.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Marketing Data Engineering 249

TechCrunch

FEBRUARY 23, 2022

Portland, Oregon-based startup thatDot , which focuses on streaming event processing, today announced the launch of Quine , a new MIT-licensed open source project for data engineers that combines event streaming with graph data to create what the company calls a “streaming graph.”

Engineering 190

Engineering Open Source Big Data Fintech 190

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

TechCrunch

JANUARY 10, 2023

The need for data observability, or the ability to understand, diagnose and orchestrate data health across various IT tools, continues to grow as organizations adopt more apps and services. After going through Y Combinator, and with the pandemic hitting, Metaplane pivoted but continued to build data analytics-focused tools.

Data 241

Data Software Review Technical Review Systems Review 241

TechCrunch

MARCH 21, 2023

Organizations dealing with large amounts of data often struggle to ensure that data remains high-quality. According to a survey from Great Expectations, which creates open source tools for data testing, 77% of companies have data quality issues and 91% believe that it’s impacting their performance.

Data 202

Data Data Engineering Training Engineering 202

TechCrunch

APRIL 13, 2021

The company is able to do this because its core architecture is somewhat different from other data pipeline and integration services that, at first glance, seem to offer a similar solution. Because of this, users can use the service to connect different tools to their data warehouse but also build real-time tools on top of these data streams.

Data 248

Data Software Engineering Open Source Engineering 248

Cloudera

SEPTEMBER 13, 2023

Once I got to work with all the amazing open-source Apache tools I was hooked. The grass isn’t always greener While the opportunity was exciting, I realized that I missed the old team, the open-source environment, innovative projects, and Cloudera overall. I found Apache NiFi especially interesting.

Innovation 81

Innovation Open Source Technology Data Engineering 81

TechCrunch

MARCH 22, 2021

The service, which was founded in 2020, integrates with over 100 data sources , covering all the standard B2B SaaS tools from Airtable to Shopify and Zendesk, as well as database services like Google’s BigQuery. “We’re taking the best of breed open-source software. y42 founder and CEO Hung Dang.

Business Intelligence 244

Business Intelligence Software Review B2B Analytics 244

TechCrunch

AUGUST 8, 2022

Systems, an IT consulting firm focused on data analytics. “Over the years, Livneh saw that many organizations were struggling to manage their data integration needs. Equalum manages data pipelines, leveraging open source packages, including Apache Spark and Kafka to stream and batch data processes.

Company 191

Company Data Google Cloud Cloud 191

Altexsoft

AUGUST 25, 2021

Specifics of data used in NLP. Tools you can use to build NLP models. Translation tools such as Google Translate rely on NLP not to just replace words in one language with words of another, but to provide contextual meaning and capture the tone and intent of the original text. NLP tools overview and comparison.

Tools 139

Tools Artificial Inteligence Technical Review Systems Review 139

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

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. Tools to build an ELT pipeline.

Tools 52

Tools Software Review Systems Review Testing 52

Altexsoft

SEPTEMBER 10, 2021

To get a single unified view of all information, companies opt for data integration. In this article, you will learn what data integration is in general, key approaches and strategies to integrate siloed data, tools to consider, and more. What is data integration and why is it important?

Tools 52

Tools Data Software Review Technical Review 52

Altexsoft

MAY 14, 2021

Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data. This post will draw a full picture of what Big Data analytics is and how it works. Data ingestion.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

OCTOBER 8, 2021

The bad news is, integrating data can become a tedious task, especially when done manually. Luckily, there are various data integration tools that support automation and provide a unified data view for more efficient data management. Data integration tools and their main types.

Tools 52

Tools Data Software Review Open Source 52

O'Reilly Media - Ideas

AUGUST 18, 2020

This article, which examines this shift in more depth, is an opinionated result of countless conversations with data scientists about their needs in modern data science workflows. The Two Cultures of Data Tooling. This is an open question, but we’re putting our money on best-of-breed products.

Machine Learning 143

Machine Learning Artificial Inteligence Data Data Engineering 143

CIO

JANUARY 17, 2023

It shows in his reluctance to run his own servers but it’s perhaps most obvious in his attitude to data engineering, where he’s nearing the end of a five-year journey to automate or outsource much of the mundane maintenance work and focus internal resources on data analysis. It’s not a good use of our time either.”

Data Engineering 290

Data Engineering Engineering Data CTO Coach 290

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

TechCrunch

MAY 10, 2022

But Piero Molino, the co-founder of AI development platform Predibase , says that inadequate tooling often exacerbates them. We want to drastically reduce that [by bringing] a low-code but high-ceiling machine learning tool to organizations” Molino continued. These are ultimately organizational challenges. healthcare company.”

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

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. A powerful Big Data tool, Apache Hadoop alone is far from being almighty.

Big Data 98

Big Data Tools Data Storage 98

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

Xebia

MAY 16, 2023

Data Engineers were tempted by the pressure of the moment to give up on testing all together. There was no need for generating your own data; just take a percentage of production data. In many cases, these tasks ended up on the shoulders of the Data Engineers themselves. Overly restrictive governance.

Testing 130

Testing How To Data Engineering Engineering 130