Cloudera

FEBRUARY 1, 2024

Delivering transformational innovation and accurate business decisions requires harnessing the full potential of your organization’s entire data ecosystem. Ultimately, this boils down to how reliable and trustworthy the underlying data that feeds your insights and applications is.

Backup 81

Backup Cloud Architecture Resources 81

Cloudera

DECEMBER 13, 2023

This cross-organizational approach that CDP facilitates has improved collaboration between LGIM’s IT and business teams, as well as reducing the number of local applications and tooling that IT has to manage. Data is now also linked bi-directionally throughout LGIM’s operations. Please read the full story here.

CTO 88

CTO Scalability Architecture Analytics 88

Cloudera

AUGUST 3, 2022

In the coming months we will enhance this to make it even easier with minimal to no code changes in your applications, while being performant and without limiting the Spark APIs used. If you are already a user of HWC, you can continue using hive.executeQuery() or hive.sql() in your Spark application to obtain the data securely. .

Policies 85

Policies Machine Learning Artificial Inteligence Data Engineering 85

Cloudera

JULY 27, 2021

While billing used to be one of two critical things for any successful telco (the other being the network), today’s digital service providers prioritise channels, ecosystems, payments and cloud service architectures in enterprise architecture. Edge analytics by definition require in-network deployment.

Telecommunications 61

Telecommunications Data Architecture Big Data 61

Cloudera

OCTOBER 4, 2023

And all of this should ideally be delivered in an easy to deploy and administer data platform available to work in any cloud. 1: Kudu & Impala for Real-Time Data Warehousing Key features of Apache Kudu include: Support for Apache NiFi, Spark Streaming, and Flink pre-integrated and out of the box. appeared first on Cloudera Blog.

Analytics 84

Analytics Machine Learning Artificial Inteligence Telecommunications 84

Cloudera

OCTOBER 5, 2020

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. This exciting initiative is built on our shared vision to make data-driven decision-making a reality for every business. Compared to previous CPU-based architectures, CDP 7.1

Enterprise 88

Enterprise Cloud Data Machine Learning 88

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

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! Here are a few highlights.

Open Source 52

Open Source Database Administration Survey AWS 52

Confluent

JULY 11, 2019

Reading, writing, and transforming data in Apache Kafka ® using KSQL is an effective way to rapidly deliver event streaming applications for clients (e.g., using this special coupon for our blog readers. Through this hands-on course, you will build an entire taxi-booking application using KSQL and Apache Kafka.

Training 82

Training Course Exercises IoT 82

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 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

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

Cloudera

FEBRUARY 25, 2021

While there are many factors that can contribute to this inefficiency, one of the most prevalent hurdles to overcome has to do with simply getting projects off the ground and selecting the right approaches, algorithms, and applications that will lead to fast results and trustworthy decision making. . Deep Learning for Image Analysis.

Machine Learning 82

Machine Learning Artificial Inteligence Telecommunications Enterprise 82

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 63

Software Development Artificial Inteligence Software Machine Learning 63

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 66

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 66

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.

Engineering 52

Engineering Data Storage AWS 52

Cloudera

SEPTEMBER 1, 2020

It is hard to believe if you have had previous experience with setting up, sizing, and deploying a distributed search engine service that this is possible. Imagine how many times IT has lost valuable time spending hours trying to understand Apache Solr application requirements and map them into how to best size and deploy the Solr service.

Data 67

Data Backup Disaster Recovery Storage 67

TIBCO - Connected Intelligence

DECEMBER 11, 2020

“We are a Nordic IT service company enabling our client’s data-driven business transformation. With our deep expertise across hybrid platforms, information management and applications, we bring together relevant data for more intelligent operations that drive long-term business value. Tell me about your TIBCO partnership. “We

Business Transformation 52

Business Transformation Data Analytics Hotels 52

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. Is It The Network?

Network 40

Network WAN LAN Policies 40

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

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. CDE enables you to spend more time on your applications, and less time on infrastructure. CDE CLI: job create./cde

Data Engineering 79

Data Engineering Engineering Data Serverless 79

Cloudera

AUGUST 30, 2022

That should be easy, but when agencies don’t share data or applications, they don’t have a unified view of people. For state and local agencies, data silos create compounding problems: Inaccessible or hard-to-access data creates barriers to data-driven decision making. Modern data architectures.

Architecture 76

Architecture Data Artificial Inteligence Artificial Intelligence 76

TIBCO - Connected Intelligence

OCTOBER 15, 2020

For instance: How will this new capability impact my client’s as-is and future architectures? Vanniarajan then went on to explain, “Data virtualization is critical in assisting our clients to fulfill many of their operational and innovation needs. Data virtualization works like a ‘Swiss Army knife for data.’

Virtualization 50

Virtualization Data Energy Innovation 50

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

Netflix Tech

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. Right Sizing is in progress and will be covered with more details in a dedicated technical blog post later. Stay tuned.

Machine Learning 84

Machine Learning Artificial Inteligence Data Systems Review 84

Altexsoft

MARCH 16, 2021

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. Definitely, the topic is way too extensive to be covered in a blog post, so we’re only going to make a succinct overview. Big data infrastructure in a nutshell.

Big Data 116

Big Data Healthcare Applications Data 116

TIBCO - Connected Intelligence

JUNE 16, 2021

UltimoSoft is an enterprise application services provider that helps organizations efficiently design and deploy IT solutions. From strategy, architecture, and design to system integration, we work with clients to identify and realize opportunities to increase their return on investment, improve productivity, and enhance their relationships.

Data 29

Data Weak Development Team Virtualization Compliance 29

Cloudera

AUGUST 31, 2021

It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics.

Data 80

Data Analytics Cloud Technical Review 80

Confluent

JUNE 18, 2019

Who has never seen an application use RDBMS SQL statements to run searches? It involves many moving parts, from data preparation to building indexing and query pipelines. Luckily, this task looks a lot like the way we tackle problems that arise when connecting data. Moving data into Apache Kafka with the JDBC connector.

Scalability 94

Scalability Architecture Machine Learning Artificial Inteligence 94

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

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

Cloudera

NOVEMBER 12, 2020

Traditional on-premise architectures, which create a fixed, finite set of resources, forces every business request for new insight to be a crazy resource balancing act, coupled with long wait times, or a straight-up no, it cannot be done. The post Extreme data center pressure? appeared first on Cloudera Blog.

Data Center 102

Data Center Cloud Data Policies 102

Cloudera

FEBRUARY 15, 2024

Seeing the future in a modern data architecture The key to successfully navigating these challenges lies in the adoption of a modern data architecture. The promise of a modern data architecture might seem like a distant reality, but we at Cloudera believe data can make what is impossible today, possible tomorrow.

Insurance 84

Insurance Compliance Technical Review Banking 84

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data 73

Data Compliance Architecture Data Engineering 73

Kentik

DECEMBER 5, 2016

In a recent blog post by Kentik Solutions Engineer Eric Graham we explained how we “dog food” our own NPM solution to troubleshoot network performance issues within our own cloud-based application. So of course we turned to Kentik Detect to answer the age-old question: “Is it the network or the application?”.

Network 40

Network Performance Metrics Software Review 40

Cloudera

APRIL 26, 2023

Can you achieve similar outcomes with your on-premises data platform? Application modernization initiatives have led to cloud native architectures gaining popularity on premises, making it a sensible choice to extend to your data platform. What business benefits do cloud native architectures deliver?

Cloud 63

Cloud Data Load Balancer Storage 63

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Who wants to learn about design patterns or software architecture when some AI application may eventually do your high-level design?

Trends 119

Trends Technical Review Technology Artificial Inteligence 119