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 77

Data Engineering Microservices DevOps Architecture 77

Altexsoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

CIO

FEBRUARY 14, 2023

Organizations have balanced competing needs to make more efficient data-driven decisions and to build the technical infrastructure to support that goal. Many companies today struggle with legacy software applications and complex environments, which leads to difficulty in integrating new data elements or services.

Artificial Inteligence 287

Artificial Inteligence Strategy Data Machine Learning 287

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.

Backup 82

Backup Architecture Cloud Resources 82

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 81

Case Study Hardware Guidelines Performance 81

Cloudera

MARCH 17, 2023

As the use of ChatGPT becomes more prevalent, I frequently encounter customers and data users citing ChatGPT’s responses in their discussions. I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics.

ChatGPT 64

ChatGPT Education Data Comparison 64

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. The customer also experienced equal or better performance with the simpler architecture in CDP. What’s Next. so stay tuned! .

Policies 90

Policies Machine Learning Artificial Inteligence Data Engineering 90

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data 94

Data Analytics Open Source Architecture 94

InnovationM

APRIL 25, 2024

This typically involves saving the model weights and architecture in a compatible format, such as a TensorFlow SavedModel or PyTorch state dictionary. Optimized for AI and ML: S pecialized infrastructure and tooling for optimal performance. The post Deploying LLM on RunPod appeared first on InnovationM Blog. Why to use RunPod?

Artificial Inteligence 52

Artificial Inteligence Serverless Scalability Resources 52

Cloudera

JUNE 7, 2022

In our very own Enterprise Data Maturity research surveying over 3,000 IT and senior business leaders, we found that 40% of organizations are currently running hybrid but mostly on-premises, and 36% of respondents expect to shift to hybrid multi-cloud in the next 18 months. Where data flows, ideas follow.

Data 112

Data Architecture Analytics Government 112

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

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.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

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.

Data 97

Data Virtualization Banking Data Engineering 97

Mobilunity

MAY 8, 2023

It is designed to store vast amounts of data from a variety of sources. Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Ingestion zone is where data is collected from various sources and ingested into the data lake. Cost Savings.

Engineering 52

Engineering Data Storage AWS 52

Cloudera

JANUARY 15, 2021

Overview of Cloudera Data Warehouse. Cloudera Data Warehouse is a cloud-native data warehouse based on the Apache Impala and Apache Hive SQL engines, deployed using a containerized architecture based on Kubernetes. CDW is one of several managed services that comprise the broader Cloudera Data Platform (CDP).

Performance 96

Performance Cloud Data Storage 96

Cloudera

SEPTEMBER 10, 2021

By more effectively leveraging its petabytes of current and historical data, the IRS is working to stave off costly fraud and waste, more efficiently deliver on fundamental missions, and better protect taxpayers, including from risks such as identity theft. Pairing High-Tech Keys to Unlock the Power of Data.

Artificial Inteligence 69

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 69

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

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. The sessions were filled with engaging conversations with all the open-source tool developers, meet-up organizers, consultants, entrepreneurs, experts, and renowned speakers.

Open Source 52

Open Source Database Administration Survey AWS 52

Cloudera

JANUARY 19, 2022

We have been working hard to build our cloud-native data services on Cloudera Data Platform (CDP), which include CDP Data Warehouse, CDP Operational Database, CDP Machine Learning, CDP Data Engineering and CDP Data Flow. Download the reports to see the detailed scores .

Report 90

Report Technical Advisors Cloud Analytics 90

O'Reilly Media - Ideas

JULY 1, 2019

One area I’m particularly interested in is the application of AI and automation technologies in data science, data engineering, and software development. For a typical data scientist, data engineer, or developer, there is an explosion of tools and APIs they now need to work with and “master.”

Software Development 62

Software Development Artificial Inteligence Software Machine Learning 62

Capgemini

MARCH 16, 2023

If you are interested in quantum in Life Sciences, do read some other blogs we have written: [link] [link] However, as the amount of data flowing into R&D teams continues to rise, there’s a risk of potential discoveries such as these going unseen. We hire staff with scientific academic backgrounds.

Pharmaceuticals 52

Pharmaceuticals Innovation Machine Learning Artificial Inteligence 52

Cloudera

FEBRUARY 25, 2021

They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. Delivering ML models into the business with the right production ML tooling — including deployment, monitoring, and governance — is often the bigger challenge.

Machine Learning 84

Machine Learning Artificial Inteligence Telecommunications Enterprise 84

Hu's Place - HitachiVantara

JUNE 5, 2019

Our Chief Marketing Officer Jonathan Martin, published a blog to call attention to the fact that the old ways of data management are getting in the way of transforming data into Value. The way to accomplish this is through DataOps, which he defines as data management for the AI era. Fatima Hamad, Sr.

Technical Review 40

Technical Review Analytics Data Engineering Scalability 40

Cloudera

FEBRUARY 14, 2024

It offers several benefits such as schema evolution, hidden partitioning, time travel, and more that improve the productivity of data engineers and data analysts. This blog discusses a few problems that you might encounter with Iceberg tables and offers strategies on how to optimize them in each of those scenarios.

Strategy 59

Strategy Travel Groups Data 59

Cloudera

APRIL 14, 2021

What is Cloudera Data Engineering (CDE) ? Cloudera Data Engineering is a serverless service for Cloudera Data Platform (CDP) that allows you to submit jobs to auto-scaling virtual clusters. Refer to the following cloudera blog to understand the full potential of Cloudera Data Engineering. .

Data Engineering 84

Data Engineering Engineering Data Serverless 84

Netflix Tech

MARCH 5, 2019

While our engineering teams have and continue to build solutions to lighten this cognitive load (better guardrails, improved tooling, …), data and its derived products are critical elements to understanding, optimizing and abstracting our infrastructure. Give us a holler if you are interested in a thought exchange.

Infrastructure 73

Infrastructure Scalability Cloud Data 73

Mobilunity

DECEMBER 21, 2022

Data scientists specialize in a variety of tasks that can benefit businesses in different ways. Some of the most noteworthy services they offer include: Data Science and Big Data Consulting. Big data engineer experts review existing data architecture, explore data sources, and analyze data lakes.

Data 52

Data How To Machine Learning Artificial Inteligence 52

Hu's Place - HitachiVantara

JANUARY 3, 2019

In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Kentik

APRIL 3, 2018

In our last blog post, At The Turning Point: FinServ Data Networks , we discussed the challenges faced by financial services organizations when it comes to managing modern networks. Networking teams no longer need to be limited by unresponsive tools, aggregated stats, and data deadends.

Network 40

Network WAN LAN Policies 40

TIBCO - Connected Intelligence

OCTOBER 15, 2020

For instance: How will this new capability impact my client’s as-is and future architectures? Self-service data discovery (e.g., products like TIBCO Spotfire®) have empowered the business community, giving them more freedom to do data analysis. Data virtualization works like a ‘Swiss Army knife for data.’

Virtualization 50

Virtualization Data Energy Innovation 50

Cloudera

SEPTEMBER 9, 2022

The promise of a modern data lakehouse architecture. Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested.

Architecture 102

Architecture Innovation Data Open Source 102

Cloudera

DECEMBER 10, 2020

CDW is built on top of CDP and has many cutting edge features to provide an excellent data warehousing user experience. For an overview of CDW’s architecture, see DW Built for the cloud. CDW architecture is elastic and simplifies capacity planning. In a multi-tenant environment, many users access the same data sources.

Data 98

Data Technical Review Storage Systems Review 98

Cloudera

AUGUST 31, 2021

Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. Smart DwH Mover helps in accelerating data warehouse migration.

Data 82

Data Analytics Cloud Technical Review 82

Erik Bernhardsson

OCTOBER 27, 2015

I don’t consider myself a data scientist so not sure :). There’s a lot of definitions floating around about what a data scientist does. I have had this theory for a long time but just ran into a blog post the other day. There’s two camps, one is the “business insights” side, one is the “production ML engineer” side.

Data 100

Data Big Data Machine Learning Artificial Inteligence 100

Erik Bernhardsson

OCTOBER 27, 2015

I don’t consider myself a data scientist so not sure :). There’s a lot of definitions floating around about what a data scientist does. I have had this theory for a long time but just ran into a blog post the other day. There’s two camps, one is the “business insights” side, one is the “production ML engineer” side.

Data 100

Data Big Data Machine Learning Artificial Inteligence 100

TIBCO - Connected Intelligence

APRIL 15, 2021

Business self-service data demand continues to explode. Enabled by easier-to-use, more powerful self-service analytic tools such as PowerBI, Spotfire, etc., your business users constantly demand more data, data from anywhere and everywhere, all of it, at any and all times. The data analytics skills shortage persists.

Analytics 41

Analytics Development Team Review Technical Review Data 41

TIBCO - Connected Intelligence

JUNE 16, 2021

All three questions have the same answer: data! Realizing this universal data formula requires a holistic customer data platform, powered by advanced data management tools such as TIBCO EBX TM Software and TIBCO Data Virtualization. How to measure service levels to ensure you resolve issues quickly and well?

Data 29

Data Weak Development Team Virtualization Compliance 29