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 87

Report Technical Advisors Cloud Analytics 87

CTOvision

JUNE 15, 2015

You know Spark, the free and open source complement to Apache Hadoop that gives enterprises better ability to field fast, unified applications that combine multiple workloads, including streaming over all your data. They also launched a plan to train over a million data scientists and data engineers on Spark.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

Cloudera

JANUARY 20, 2021

to make a classification model based off of training data stored in both Cloudera’s Operational Database (powered by Apache HBase) and Apache HDFS. For more context, this demo is based on concepts discussed in this blog post How to deploy ML models to production. Through PySpark, data can be accessed from multiple sources.

Machine Learning 112

Machine Learning Artificial Inteligence Applications Data 112

Cloudera

JUNE 7, 2022

Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform. We deliver cloud-native data analytics across the full data lifecycle – data distribution, data engineering, data warehousing, transactional data, streaming data, data science, and machine learning – that’s portable across infrastructures.

Data 108

Data Architecture Analytics Government 108

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). Watch this video to get an overview of CDW. .

Data 98

Data Technical Review Storage Systems Review 98

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. Doughty also discussed how automation and cloud adoption are changing traditional DBA duties as well as providing a platform for greater efficiency and scalability.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Cloudera

MARCH 23, 2022

Through Cloudera’s contributions, we have extended support for Hive and Impala, delivering on the vision of a data architecture for multi-function analytics from large scale data engineering (DE) workloads and stream processing (DF) to fast BI and querying (within DW) and machine learning (ML). . 2: Open formats.

Data 88

Data Open Source Storage Machine Learning 88

AWS Machine Learning - AI

JANUARY 26, 2024

Repeat this process for each of the OWASP Top 10 for LLM vulnerabilities to ensure you’re maximizing the value of AWS services to implement defense in depth to protect your data and workloads. Ram Vittal is a Principal ML Solutions Architect at AWS. In his spare time, he rides his motorcycle and walks with his 3-year-old Sheepadoodle!

Artificial Inteligence 120

Artificial Inteligence Generative AI Security Applications 120

Cloudera

NOVEMBER 19, 2020

Too often, though, legacy systems cannot deliver the needed speed and scalability to make these analytic defenses usable across disparate sources and systems. For many agencies, 80 percent of the work in support of anomaly detection and fraud prevention goes into routine tasks around data management.

Government 115

Government Artificial Inteligence Machine Learning Data 115

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. What is cloud native exactly?

Cloud 63

Cloud Data Load Balancer Storage 63

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 97

Architecture Innovation Data Open Source 97

Cloudera

AUGUST 17, 2021

When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. The post Automating Data Pipelines in CDP with CDE Managed Airflow Service appeared first on Cloudera Blog.

Data 111

Data Open Source Government Analytics 111

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. Apache Iceberg is a new open table format targeted for petabyte-scale analytic datasets.

Data 105

Data Analytics Disaster Recovery Travel 105

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. Source: Apache Airflow.

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

Cloudera

DECEMBER 20, 2023

We see AI applications like chatbots being built on top of closed-source or open source foundational models. Those models are trained or augmented with data from a data management platform. The data management platform, models, and end applications are powered by cloud infrastructure and/or specialized hardware.

Artificial Inteligence 70

Artificial Inteligence Artificial Intelligence Enterprise Machine Learning 70

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 ). Read why the future of data lakehouses is open.

Data 84

Data Analytics Machine Learning Artificial Inteligence 84

Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads.

Strategy 94

Strategy Data Technical Review Weak Development Team 94

Netflix Tech

OCTOBER 18, 2022

As Big data and ML became more prevalent and impactful, the scalability, reliability, and usability of the orchestrating ecosystem have increasingly become more important for our data scientists and the company. Another dimension of scalability to consider is the size of the workflow.

Data 81

Data UI/UX Systems Review Software Review 81

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. Plus the name sounded cool for an open-source project.”.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Cloudera

APRIL 22, 2021

Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Businesses are also looking to move to a scale-out storage model that provides dense storages along with reliability, scalability, and performance.

Data 98

Data Storage Architecture Big Data 98

Altexsoft

MAY 14, 2021

On top of that, new technologies are constantly being developed to store and process Big Data allowing data engineers to discover more efficient ways to integrate and use that data. You may also want to watch our video about data engineering: A short video explaining how data engineering works.

Big Data 78

Big Data Analytics Tools Applications 78

Erik Bernhardsson

JUNE 7, 2014

Blog, talk at meetups, open source stuff , go to conferences. I strongly believe that data engineers need to understand the full stack from idea, to machine learning algorithm, to code running in production. Or alternatively – something they know of, but doesn’t necessarily associate with cutting edge tech?

Recruiting 101

Recruiting Weak Development Team Data Software Review 101

Erik Bernhardsson

JUNE 7, 2014

Blog, talk at meetups, open source stuff , go to conferences. I strongly believe that data engineers need to understand the full stack from idea, to machine learning algorithm, to code running in production. Or alternatively – something they know of, but doesn’t necessarily associate with cutting edge tech?

Recruiting 100

Recruiting Weak Development Team Data Software Review 100

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

Cloudera

SEPTEMBER 9, 2018

It enables organizations to address their data warehousing reporting needs by making it quick and easy to consolidate data into a single repository yet still service your users’ needs in a scalable and cost-effective way. Using Cloudera Altus for your cloud data warehouse. Try Altus Data Warehouse today.

Data 40

Data Data Engineering Analytics Cloud 40

Cloudera

APRIL 21, 2022

This operation requires a massively scalable records system with backups everywhere, reliable access functionality, and the best security in the world. The companies began working together in 2010, when Cerner adopted Cloudera’s open-source platform distribution that enables random access to data.

Security 84

Security Data Insurance System 84

Kentik

JUNE 30, 2015

Our first service, Kentik Detect, is an infrastructure data analytics service that is scalable, powerful, flexible, open, and easy to use. The problem wasn’t getting the data — most switches and routers can generate decent traffic flow via sFlow, NetFlow, or IPFIX. Long-term retention and availability at high resolution.

Load Balancer 40

Load Balancer Analytics Scalability Network 40

Cloudera

JUNE 4, 2018

release , can support unlimited scalability and enterprise security requirements, and can communicate with the data hub for content storage and indexing natively. It enabled the ingestion of over 1 PB of unstructured content into the data hub with a peak rate of over two million documents per hour.

Pharmaceuticals 45

Pharmaceuticals Data Big Data Systems Review 45

Cloudera

DECEMBER 12, 2018

Yet, there were some limitations in MPP at the time, because some of these systems running Hive were quite large, and the database community thought that instead of the future being Hive on MapReduce or something similar, that we could extend, bend, and change the MPP engines to actually operate in a more scalable manner on such large data.

Data 41

Data Marketing Storage Big Data 41

Coforge

AUGUST 20, 2019

Outsourcing: Some of the work related to data engineering and DevOps/SRE may be outsourced to concentrate resources towards achieving the business goals. #2 So, building a flexible and developer-friendly platform over an appropriate scalable infrastructure, should be the first priority.

Machine Learning 8

Machine Learning Artificial Inteligence Enterprise Software Review 8

Cloudera

AUGUST 26, 2020

Informatica and Cloudera deliver a proven set of solutions for rapidly curating data into trusted information. Informatica’s comprehensive suite of Data Engineering solutions is designed to run natively on Cloudera Data Platform — taking full advantage of the scalable computing platform.

Data 80

Data Machine Learning Artificial Inteligence Disaster Recovery 80

Cloudera

JANUARY 11, 2021

Core business fails if data and compute services aren’t available fast, reliable, and scalable. Requests for IT resources for data and compute services can’t be delayed three to six months, which is how long the typical procurement cycle, machine configuration, and software installation takes. Cloudera Machine Learning (CML).

Data 61

Data Pharmaceuticals Open Source Machine Learning 61

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. CRM platforms).

Scalability 89

Scalability Technical Review Data Analytics 89

Cloudera

MAY 18, 2021

Infrastructure cost optimization by enabling container-based scalability for compute resources based on processing load and by leveraging object storage that has lower price point than compute-attached storage. Quantifiable improvements to Apache open source projects. data streaming, data engineering, data warehousing etc.),

Cloud 84

Cloud Technical Review Storage Backup 84