Mobilunity

AUGUST 3, 2021

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. Who is Big Data Engineer? Big Data requires a unique engineering approach.

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Cloudera

AUGUST 20, 2020

This blog illustrates how Cloudera Data Engineering (CDE), using Apache Spark , can be used to produce reports based on the PPP data while addressing each of the challenges outlined above. A mock scenario for the Texas Legislative Budget Board (LBB) is set up below to help a data engineer manage and analyze the PPP data.

Data Engineering 62

Data Engineering Engineering Programming Data 62

Cloudera

JANUARY 12, 2018

I mentioned in an earlier blog titled, “Staffing your big data team, ” that data engineers are critical to a successful data journey. That said, most companies that are early in their journey lack a dedicated engineering group. Image 1: Data Engineering Skillsets.

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Data Engineering Big Data Engineering Data 53

Xebia

NOVEMBER 11, 2022

This blog explores the various sessions throughout those 3 days but specifically focuses on the Cloud Data Platform workshop on Friday the 28th. . GoDataFest features a multitude of sessions focused on various data technologies and platforms. What is the Google Cloud Data Platform Workshop? What is GoDataFest?

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Google Cloud Cloud Data Data Engineering 130

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.

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Tools Artificial Inteligence Technical Review Systems Review 139

Cloudera

MARCH 6, 2024

This year, members of the Cloudera team will be hosting speaking sessions during the event where we’ll be sharing insights around generative AI and the tools needed to leverage emerging technologies at enterprise scale. The post A Look Ahead at the Gartner Data & Analytics Summit appeared first on Cloudera Blog.

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Analytics Artificial Inteligence Data Generative AI 104

TechCrunch

AUGUST 4, 2022

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. They wanted an underlying database that could process database data much faster than simply taking it raw from the data source, whether that was Snowflake, Databricks, BigQuery or something else.

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Open Source Metrics Business Intelligence Enterprise 246

Cloudera

MAY 8, 2023

Out of the box Cloudera Data platform (CDP) performs superbly but over time, if data architecture, data engineering, and DevOps best practices are not maintained, you can get stuck maintaining the wild, wild west. The post Visibility and Transparency appeared first on Cloudera Blog.

Data Engineering 75

Data Engineering Microservices DevOps Architecture 75

Cloudera

JUNE 2, 2021

To keep up, data pipelines are being vigorously reshaped with modern tools and techniques. At Cloudera, we recently introduced several cutting-edge innovations in our Cloudera Data Engineering experience (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to serve the growing demands.

Data 89

Data Data Engineering Machine Learning Artificial Inteligence 89

Hacker Earth Developers Blog

NOVEMBER 27, 2023

This includes high-demand roles like Full stack- Django/React, Full stack- Django/Angular, Full stack- Django/Spring/ React, Full stack- Django/Spring/Angular, Data engineer, and DevOps engineer. Let’s break this down further: The AI-based evaluation uses ChatGPT and proprietary tools to evaluate long-form answers.

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CIO

SEPTEMBER 29, 2023

As a popular and effective tool that assists companies with the development and deployment of AI models, the skill is in high demand across several industries and job roles. However, the Midjourney research lab claims it wants to work with artists, and serve as a tool to help them create content easier.

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Generative AI ChatGPT Machine Learning Artificial Inteligence 357

Dataiku

OCTOBER 28, 2021

Developing data science workflows can quickly become complex for data scientists and data engineers because of the variety of data sources, processing tools, and the growing number of tasks to be executed.

Data Engineering 59

Data Engineering Engineering Tools Data 59

Cloudera

DECEMBER 13, 2023

He is responsible for introducing common tools and processes and enhancing the technology, tools and data available to employees, empowering them to use their expertise and creativity in innovative ways. LGIM’s data ecosystem had become fragmented over time as it had grown. Please read the full story here.

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CTO Scalability Architecture Analytics 88

CIO

FEBRUARY 14, 2023

A cloud-native approach with Kubernetes and containers brings scalability and speed with increased reliability to data and AI the same way it does for microservices. Real-time needs a tool and an approach to support scaling requirements and adjustments; Kubernetes is that tool and cloud-native is the approach.

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Artificial Inteligence Strategy Data Machine Learning 281

TIBCO - Connected Intelligence

DECEMBER 23, 2020

While 2020 has been anything but normal, TIBCO has been here all year long to provide you with over 200 blog posts on a wide range of topics. These are the top five most popular blog posts of 2020. COVID-19: A Visual Data Science Analysis and Review and COVID-19 (Coronavirus) Insights from the TIBCO Data Science Team.

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Cloudera

APRIL 24, 2023

To this six-part series, where we’ll look at how to get control of the health of your Cloudera Data platform (CDP) environment. With each blog we’ll outline the symptoms and root causes of common environmental health challenges and prescribe solutions. That’s observability. We’ve done it too. Let the healing begin!

Case Study 79

Case Study Hardware Guidelines Data Engineering 79

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry. Knowledge of Scala or R can also be advantageous.

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Data Engineering Fintech Engineering Data 52

Cloudera

FEBRUARY 1, 2024

The other half of the equation requires your team’s emphasis to shift to sustained excellence in managing and optimizing your data ecosystem — better known as Day 2 operations. In this blog, we’ll cover the highlights of our recently published Day 2 Operations Guide and why it matters to enterprises.

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Backup Cloud Architecture Resources 81

TechCrunch

OCTOBER 7, 2021

If your customers are data engineers, it probably won’t make sense to discuss front-end web technologies. Blog articles are certainly core, but you want to make sure you’re covering the right topics in the right way. Outside content, there’s events (in-person and virtual), advertising, sponsorships, open source and tools.

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Weak Development Team Software Development Marketing Technical Advisors 231

Cloudera

DECEMBER 17, 2020

CDP enables a fully integrated and seamless ML lifecycle — from data pipelines to production and everything in between. Using CDP Data Engineering For Automating Machine Learning Pipelines. CDP Data Engineering seamlessly integrates with and automates data pipelines to CDP Machine Learning.

Machine Learning 80

Machine Learning Artificial Inteligence Data Engineering Engineering 80

Cloudera

AUGUST 3, 2022

One approach is to use 3rd party tools (such as Privacera ) that integrate with Spark. However, it not only increases costs but requires duplication of policies and yet another external tool to manage. In a follow-up blog, we will provide more detail and discuss the enhancements we have planned for the next release with CDP 7.1.8,

Policies 85

Policies Machine Learning Artificial Inteligence Data Engineering 85

Erik Bernhardsson

JULY 22, 2021

Specialization is probably driven a lot by bad tools. It seems fair that, if tools didn't require so much knowledge to use (I'm looking at you, Kubernetes), then on the margin, the need for specialization would be less. I'm super interested in this because I spent about 12 hours every day thinking about tools in the data science space.

Weak Development Team 151

Weak Development Team Data Tools Engineering 151

Cloudera

SEPTEMBER 13, 2023

Once I got to work with all the amazing open-source Apache tools I was hooked. There Is No Place Like Cloudera appeared first on Cloudera Blog. I started my current career path with Hortonworks in 2016, back when we still had to tell people what Hadoop was. I found Apache NiFi especially interesting.

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Innovation Open Source Technology Data Engineering 81

Cloudera

AUGUST 8, 2022

The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Cloudera Data Engineering (Spark 3) with Airflow enabled. Cloudera Machine Learning .

How To 89

How To Travel Machine Learning Artificial Inteligence 89

Cloudera

MARCH 17, 2023

I took the free version of ChatGPT on a test drive (in March 2023) and asked some simple questions on data lakehouse and its components. Hopefully this blog will give ChatGPT an opportunity to learn and correct itself while counting towards my 2023 contribution to social good. I thought this was a fairly comprehensive list.

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Cloudera

NOVEMBER 19, 2021

An enterprise machine learning workflow from data engineers to business users. This means an ML model’s development, deployment, ongoing management and, ultimately, its sustained business value, hinge on a range of cross-functional team requirements: Data engineers need to make sure that the data is available, clean and up to date.

Machine Learning 120

Machine Learning Artificial Inteligence eBook Sustainability 120

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . The Data Scientist.

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Data Virtualization Banking Data Engineering 97

Cloudera

OCTOBER 13, 2020

Enrich – Data Engineering (Apache Spark and Apache Hive). Report – Data Engineering (Hive3), Data Mart (Apache Impala) and Real-Time Data Mart (Apache Impala with Apache Kudu) . Serve – Operational Database (Apache HBASE), Data Exploration (Apache Solr) . New Services.

Cloud 92

Cloud Machine Learning Artificial Inteligence Azure 92

Cloudera

JUNE 10, 2021

When integrating Apache Spark with Apache Phoenix in COD, you can leverage capabilities provided by Apache Phoenix to save and query data across multiple worker nodes, and use SELECT columns and pushdown predicates for filtering. . In this blog post, let us look at how you can read and write data to COD from Apache Spark.

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How To Data Engineering Virtualization Resources 88

InnovationM

APRIL 18, 2024

But with AI on your side, you’re equipped with a powerful tool that can anticipate issues before they escalate into costly downtime. It all starts with data. There are also concerns about data privacy and security, as well as the need for ongoing training to ensure that technicians can effectively utilize AI tools.

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The Accidental Successful CIO

JANUARY 25, 2023

However, now, industries as diverse as retailing, manufacturing, finance and insurance are taking advantage of new products that make it much easier for businesses to create AI tools specific to their needs. All people have to do is to plug data into standardized AI templates.

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Artificial Inteligence Artificial Intelligence Machine Learning Training 98

d2iq

JANUARY 18, 2022

Complexity: There are lots of cloud-native and AI/ML tools on the market. Read the blog to learn more about D2iQ Kaptain on Amazon Web Services (AWS). Integration: Only a small percentage of production ML systems are model code; the rest is glue code needed to make the overall process repeatable, reliable, and resilient.

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DevOps.com

MAY 11, 2021

At an online Appian World conference, Appian today unveiled an update to its low-code platform that adds a set of visual tools that enables developers to aggregate data within an application with the help of a database administrator (DBA) or data engineering team.

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Database Administration Data Conference Data Engineering 76

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

InnovationM

MAY 14, 2023

These systems ensure high availability and facilitate the storage of massive data volumes. Data Ingestion Tools: The journey of constructing a data lake starts with data ingestion. These tools streamline data flow, enable real-time data ingestion, and ensure data quality and metadata management.

Data 52

Data Storage Construction Business Intelligence 52

InnovationM

MARCH 20, 2024

Whether you’re fetching data, updating records, or performing complex queries, efficient database operations are crucial for application performance. One powerful tool at your disposal for constructing dynamic queries is the Criteria API, which allows you to build queries programmatically and dynamically based on various criteria.

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Construction Applications Performance Examples 52