Cloudera

AUGUST 3, 2022

This limited usage of Spark at security-conscious customers, as they were unable to leverage its rich APIs such as SparkSQL and Dataframe constructs to build complex and scalable pipelines. . The customer also experienced equal or better performance with the simpler architecture in CDP. Fine grained access control (FGAC) with Spark.

Policies 91

Policies Machine Learning Artificial Inteligence Data Engineering 91

Netflix Tech

MARCH 5, 2019

As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant. In the Performance space, our data teams currently focus on the quality of experience on Netflix-enabled devices.

Infrastructure 73

Infrastructure Scalability Cloud Data 73

Cloudera

FEBRUARY 16, 2021

In the previous blog post , we looked at some of the application development concepts for the Cloudera Operational Database (COD). In this blog post, we’ll see how you can use other CDP services with COD. Cloudera Operational Database (COD) plays the crucial role of a data store in the enterprise data lifecycle.

Machine Learning 85

Machine Learning Artificial Inteligence Data Engineering Policies 85

Cloudera

OCTOBER 4, 2023

Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. This real-time data, when captured and analyzed in a timely manner, may deliver tremendous business value.

Analytics 90

Analytics Machine Learning Artificial Inteligence Telecommunications 90

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Kentik

MAY 2, 2016

In part 1 of this series we introduced Kentik Data Engine™, the backend to Kentik Detect™, which is a large-scale distributed datastore that is optimized for querying IP flow records (NetFlow v5/9, sFlow, IPFIX) and related network data (GeoIP, BGP, SNMP). Want to try KDE with your own network data? Time: 1.293s.

Data Engineering 40

Data Engineering Engineering .Net Data 40

Altexsoft

FEBRUARY 11, 2023

If you are not familiar with the above-mentioned concepts, we suggest you to follow the links above to learn more about each of them in our blog posts. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

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 92

Report Technical Advisors Cloud Analytics 92

Cloudera

SEPTEMBER 21, 2021

Many customers looking at modernizing their pipeline orchestration have turned to Apache Airflow, a flexible and scalable workflow manager for data engineers. But now it has become very simple and secure with our release of the Cloudera Airflow provider , which gives users the best of Airflow and CDP data services.

Off-The-Shelf 100

Off-The-Shelf Data Engineering Virtualization Cloud 100

InnovationM

MAY 14, 2023

Technologies Behind Data Lake Construction Distributed Storage Systems: When building data lakes, distributed storage systems play a critical role. 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.

Data 52

Data Storage Construction Business Intelligence 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. Keynotes, breakout sessions, workshops, and panel discussions kept the database conversations going throughout the event.

Open Source 52

Open Source Database Administration Survey AWS 52

Cloudera

SEPTEMBER 23, 2021

” An organization designed for speed is more likely to see powerful outcomes, including greater customer responsiveness, enhanced capabilities and better performance in terms of cost-efficiency, revenues and return on capital, McKinsey reported. . “A This sophisticated system has one bottom line: speedy data processing and movement.

Data 84

Data Sport Report Sustainability 84

Mobilunity

MAY 8, 2023

Processing zone is used for transforming and processing the raw data into a more usable format. This includes data cleansing, normalization, and enrichment. Analytics zone is where data analysts and data scientists can access the data to perform queries, generate reports, and create models. Data Security.

Engineering 52

Engineering Data Storage AWS 52

Perficient

JANUARY 10, 2024

You can create DataFrames from various data sources like CSV, JSON, or even from existing RDDs (Resilient Distributed Datasets). In this blog we will see some approaches towards creating dataframe with examples. There are several approaches for creating DataFrames, each offering its unique advantages.

Analysis 52

Analysis Data Engineering Data Scalability 52

The Citus Data

MARCH 31, 2023

A developer friend of mine prefers to read about what to expect at upcoming events in the narrative form of a blog, rather than having to click in and out of different abstracts on a schedule page. Americas livestream, compression, performance, PostgreSQL) Optimizing Postgres for write heavy workloads ft.

Azure 85

Azure Open Source Virtualization Software Engineering 85

Xebia

MARCH 10, 2021

In essence, this means the organisation wants to make better business decisions based on insights provided by data [4]. Data itself is not able to advise a business for better decision-making. Therefore these organisations introduce a new capability: Data & Analytics. Data & Analytics adopting DevOps principles.

DevOps 130

DevOps Data Analytics Policies 130

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.

Technical Review 40

Technical Review Analytics Data Engineering Scalability 40

Apps Associates

JULY 28, 2022

This blog introduces you to Oracle Cloud Infrastructure (OCI) Data Integration service and reviews how to setup Data Integration workspace in OCI. I love Data Integration in OCI and hope to get you excited about this great product as well. Fully Control Scalability Dynamically. Data Lakehouse based implementations.

Infrastructure 52

Infrastructure Cloud Data Linux 52

CTOvision

JUNE 15, 2015

I have seen solutions based around InfoSphere Streams that are clearly the right approach for high performance solutions where reliability is critical for mission support. Spark is still new and frankly there have been issues with performance from time to time. First, it dramatically improves the performance of data dependent apps.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

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

Confluent

JUNE 18, 2019

Software projects of all sizes and complexities have a common challenge: building a scalable solution for search. For this reason and others as well, many projects start using their database for everything, and over time they might move to a search engine like Elasticsearch or Solr. You might be wondering, is this a good solution?

Scalability 94

Scalability Architecture Machine Learning Artificial Inteligence 94

AWS Machine Learning - AI

JANUARY 26, 2024

We are committed to expanding our capabilities to allow you to meet your digital sovereignty needs, without compromising on the performance, innovation, security, or scale of the AWS Cloud. Understand the security posture of your AI, ML, and generative AI workloads by performing a Well-Architected Framework review.

Artificial Inteligence 118

Artificial Inteligence Generative AI Security Applications 118

Cloudera

DECEMBER 10, 2020

Drawing on more than a decade of experience in building and deploying massive scale data platforms on economical budgets, Cloudera has designed and delivered a cost-cutting cloud-native solution – Cloudera Data Warehouse (CDW), part of the new Cloudera Data Platform (CDP). CDW is built for high performance.

Data 98

Data Technical Review Storage Systems Review 98

Cloudera

NOVEMBER 28, 2023

With its rise in popularity generative AI has emerged as a top CEO priority, and the importance of performant, seamless, and secure data management and analytics solutions to power those AI applications is essential. This means you can expect simpler data management and drastically improved productivity for your business users.

Data 84

Data Scalability Analytics Quality Assurance 84

Mobilunity

DECEMBER 21, 2022

Tech companies use data science to enhance user experience, create personalized recommendation systems, develop innovative solutions, and more. Data science in agriculture can help businesses develop data pipelines specifically for automation and fast scalability. Data Preparation. Data Modeling.

Data 52

Data How To Machine Learning Artificial Inteligence 52

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. The roles and duties traditionally performed by DBAs have changed as cloud adoption and automation become commonplace. Plus, we gave away an awesome LEGO NASA Space Shuttle!

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Perficient

FEBRUARY 16, 2024

In the world of big data processing, efficient and scalable file systems play a crucial role. In this blog post, we’ll explore into what DBFS is, how it works, and provide examples to illustrate its usage. What is DBFS? If the file exists, it prints “File exists.”;

System 52

System Storage Azure Big Data 52

Cloudera

FEBRUARY 22, 2022

This unprecedented level of big data workloads hasn’t come without its fair share of challenges. The data architecture layer is one such area where growing datasets have pushed the limits of scalability and performance. Fast query planning enables lower latency SQL queries and increases overall query performance. .

Data 110

Data Analytics Disaster Recovery Travel 110

Cloudera

DECEMBER 15, 2022

When data quality issues come to light, you can use table rollback to get back to a known high quality state. You can quickly restore data to a known good state, and take corrective actions faster and easier. Maintaining performance and manageability with improved table maintenance . Performance and scalability.

Cloud 81

Cloud Data Analytics Machine Learning 81

Cloudera

APRIL 26, 2023

Application modernization initiatives have led to cloud native architectures gaining popularity on premises, making it a sensible choice to extend to your data platform. It offers features such as data ingestion, storage, ETL, BI and analytics, observability, and AI model development and deployment.

Cloud 65

Cloud Data Load Balancer Storage 65

Cloudera

MARCH 23, 2022

Please join us on March 24 for Future of Data meetup where we do a deep dive into Iceberg with CDP . Apache Iceberg is a high-performance, open table format, born-in-the cloud that scales to petabytes independent of the underlying storage layer and the access engine layer. 3: Open Performance. What is Apache Iceberg?

Data 93

Data Open Source Storage Machine Learning 93

Cloudera

OCTOBER 1, 2022

“There are still a ton of challenges associated with getting machine learning and AI to scale…as the portfolio of deployed models has expanded, we’re facing all these new questions about how to best create and manage reliable, scalable, and cost effective infrastructure to support the model life cycle. Deliver use cases to market.

Government 76

Government Artificial Inteligence Enterprise Strategy 76

Cloudera

JULY 11, 2023

Cloudera offers Apache Kudu to run in Real Time DataMart Clusters , and Apache Impala to run in Kubernetes in the Cloudera Data Warehouse form factor. With a scalable Impala running in CDW, customers wanted a way to connect CDW to Kudu service in DataHub clusters. Impala) and storage (i.e.

Data 72

Data Virtualization Pharmaceuticals Storage 72

Cloudera

SEPTEMBER 9, 2022

analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.” According to Gartner, Inc.

Architecture 103

Architecture Innovation Data Open Source 103

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). CDP provides the fastest and easiest path to Iceberg.

Data 89

Data Analytics Machine Learning Artificial Inteligence 89

Cloudera

SEPTEMBER 28, 2021

We covered the value this new capability provides in a previous blog. RAZ for S3 and RAZ for ADLS introduce FGAC and Audit on CDP’s access to files and directories in cloud storage making it consistent with the rest of the SDX data entities. Let’s say that both Jon and Remi belong to the Data Engineering group.

Groups 63

Groups Cloud AWS Data 63

Cloudera

DECEMBER 20, 2023

Finally they can deploy the application using CML’s containerized compute sessions powered by NVIDIA GPUs or AWS Inferentia — specialized hardware that improves inference performance while reducing costs. More information can be found in our blog post here. More information can be found in our blog post here.

Artificial Inteligence 73

Artificial Inteligence Artificial Intelligence Enterprise Machine Learning 73