Cloudera

MAY 13, 2021

We offer many of the popular open source engines used today, and that’s because we know the specific demands of your particular use case will always dictate which engine is the most optimal. And as your needs change, you need the flexibility to change engines. Consideration #4: Enterprise adoption.

Engineering 101

Engineering Comparison Open Source Scalability 101

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. . 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, What’s Next.

Policies 84

Policies Machine Learning Artificial Inteligence Data Engineering 84

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

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

Mobilunity

MAY 8, 2023

An Enterprise Data Lake is a large, centralized repository that stores structured and unstructured data at scale. 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.

Engineering 52

Engineering Data Storage AWS 52

Cloudera

OCTOBER 4, 2023

Different data streams will have different characteristics, and having a platform flexible enough to adapt, with things like flexible partitioning for example, will be essential in adapting to different source volume characteristics. appeared first on Cloudera Blog. Kudu has this covered.

Analytics 84

Analytics Machine Learning Artificial Inteligence Telecommunications 84

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). Time: 0.458s. Time: 1.293s.

Data Engineering 40

Data Engineering Engineering .Net Data 40

Cloudera

SEPTEMBER 23, 2021

” This is all about IT systems inside enterprises, which is where the data rubber meets the digital road. Streaming data from edge devices enables real-time insight and autonomous decision-making, which can revolutionize industries. This sophisticated system has one bottom line: speedy data processing and movement.

Data 81

Data Sport Report Sustainability 81

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. 93% of large enterprises use database monitoring and management solutions. 32% of large enterprise database deployments use Database-as-a-Service offerings.

Open Source 52

Open Source Database Administration Survey AWS 52

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

Cloudera

JUNE 7, 2022

Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform. We believe that data can make what is impossible today, possible tomorrow.

Data 107

Data Architecture Analytics Government 107

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

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use.

Government 71

Government Artificial Inteligence Enterprise Strategy 71

Cloudera

DECEMBER 20, 2023

Cloudera is launching and expanding partnerships to create a new enterprise artificial intelligence “AI” ecosystem. We’ll start with the enterprise AI stack. Those models are trained or augmented with data from a data management platform. More information can be found in our blog post here.

Artificial Inteligence 70

Artificial Inteligence Artificial Intelligence Enterprise Machine Learning 70

Cloudera

APRIL 13, 2021

At Cloudera, we spend countless hours with the world’s largest enterprises understanding where the barriers to successful ML adoption are. In it, we detail what’s needed to succeed with production ML and how to successfully apply a production ML approach at scale within your enterprise. Step 4: Iterate quickly. Optimize later.

Machine Learning 98

Machine Learning Artificial Inteligence Enterprise eBook 98

AWS Machine Learning - AI

JANUARY 26, 2024

Reviews can be performed using tools like the AWS Well-Architected Tool , or with the help of your AWS team through AWS Enterprise Support. 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.

Artificial Inteligence 117

Artificial Inteligence Generative AI Security Applications 117

Cloudera

NOVEMBER 28, 2023

Cloudera Private Cloud Data Services is a comprehensive platform that empowers organizations to deliver trusted enterprise data at scale in order to deliver fast, actionable insights and trusted AI. This means you can expect simpler data management and drastically improved productivity for your business users.

Data 79

Data Scalability Analytics Quality Assurance 79

Cloudera

DECEMBER 10, 2020

CDW includes two highly scalable and performant Apache open-source engines – Impala and Hive LLAP – that have proven themselves in hundreds of enterprises for business-critical data warehousing. Today, enterprises want data warehouses that support on-demand consumption.

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. Additionally, emerging data types and modern applications drive enterprises to adopt new data platforms. Plus, we gave away an awesome LEGO NASA Space Shuttle!

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

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 63

Cloud Data Load Balancer Storage 63

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 104

Data Analytics Disaster Recovery Travel 104

Perficient

FEBRUARY 28, 2023

This is the final blog in a series that explains how organizations can prevent their Data Lake from becoming a Data Swamp, with insights and strategy from Perficient’s Senior Data Strategist and Solutions Architect, Dr. Chuck Brooks. Typically, data is landed in its raw format in what I call the discovery zone.

Data 110

Data Analytics Google Cloud Cloud 110

Cloudera

MARCH 23, 2022

By being a truly open table format, Apache Iceberg fits well within the vision of the Cloudera Data Platform (CDP). Let’s highlight some of those benefits, and why choosing CDP and Iceberg can future proof your next generation data architecture. . 4: Enterprise grade. Figure 2: Apache Iceberg within Cloudera Data Platform. #5:

Data 88

Data Open Source Storage Machine Learning 88

Cloudera

DECEMBER 15, 2022

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Performance and scalability. Read why the future of data lakehouses is open.

Cloud 76

Cloud Data Analytics Machine Learning 76

Cloudera

AUGUST 30, 2022

Data Lakehouse: Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support artificial intelligence, business intelligence, machine learning, and data engineering use cases on a single platform. Towards Data Science ). Deploying modern data architectures.

Architecture 76

Architecture Data Artificial Inteligence Artificial Intelligence 76

Cloudera

SEPTEMBER 28, 2021

Cloudera Data platform ( CDP ) provides a Shared Data Experience ( SDX ) for centralized data access control and audit in the Enterprise Data Cloud. We covered the value this new capability provides in a previous blog. Let’s say that both Jon and Remi belong to the Data Engineering group.

Groups 62

Groups Cloud AWS Data 62

Netflix Tech

JUNE 6, 2022

Our goal is to manage security risks to Netflix via clear, opinionated security guidance, and by providing risk context to Netflix engineering teams to make pragmatic risk decisions at scale. We’ve also discovered, through interviews with engineers, that self-service guidance doesn’t stand on its own.

Software Review 67

Software Review Software Engineering Scalability Engineering 67

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 ).

Data 83

Data Analytics Machine Learning Artificial Inteligence 83

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 114

Government Artificial Inteligence Machine Learning Data 114

Cloudera

DECEMBER 14, 2020

If there’s one thing enterprises have learned in 2020, it’s how to navigate through uncertain times, and in 2021, organizations will likely have to continue navigating through a shifting landscape. Today, a new modern data platform is here to transform how businesses take advantage of real-time analytics. Why upgrade to CDP now?

Analytics 68

Analytics Big Data Government Cloud 68

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. Introduction.

Strategy 94

Strategy Data Technical Review Weak Development Team 94

Palo Alto Networks

AUGUST 23, 2021

Together, they address the unique requirements of both cloud security teams requiring DevOps speed and SOC analysts requiring visibility across their entire enterprise. Cortex XDR’s Third-Party Data Engine Now Delivers the Ability to Ingest, Normalize, Correlate, Query and Analyze Data from Virtually Any Source.

Cloud 91

Cloud Machine Learning Artificial Inteligence Analytics 91

Cloudera

APRIL 22, 2021

Today’s enterprise data analytics teams are constantly looking to get the best out of their platforms. 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. Cisco Data Intelligence Platform.

Data 98

Data Storage Architecture Big Data 98

Cloudera

NOVEMBER 2, 2020

Data streamed in is queryable immediately, in an optimal manner. Data streamed in is queryable in conjunction with historical data, avoiding need for Lambda Architecture. Data Model. Conventional enterprise data types. Figure 1 below shows a standard architecture for a Real-Time Data Warehouse.

Data 91

Data Analytics Storage Big Data 91

Cloudera

FEBRUARY 11, 2019

The former sees growing investment in data analytics to become data-driven (45% of organizations expect to increase their spending in this area) while the latter is fueled by disruptive technology and the adoption of AI (41% of organizations name it as their game changer).

Government 57

Government Compliance Machine Learning Artificial Inteligence 57

Cloudera

JUNE 4, 2018

Ensure content can be reused within the data hub to support pharmaceutical use cases. Aspire , built by Search Technologies , part of Accenture is a search engine independent content processing framework for handling unstructured data. This enables data hub users to quickly access up-to-date content across the enterprise.

Pharmaceuticals 45

Pharmaceuticals Data Big Data Systems Review 45