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

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform. Private clouds are not simply existing data centers running virtualized, legacy workloads. They require highly modernized digital application and service environments running on true cloud platforms like Hitachi Enterprise Cloud.

Cloud 78

Cloud Google Cloud Azure AWS 78

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

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

JUNE 15, 2021

This blog will walk through how to deploy a Private Cloud Base cluster, with security, with a minimum of human interaction. If you are using VMs in Azure or AWS the Default credentials will be automatically collected from your local user profile (.aws infra_type can be omitted, "aws", "azure" or "gcp". aws or.azure directories).

Cloud 82

Cloud AWS Azure Linux 82

Cloudera

NOVEMBER 6, 2017

A noteworthy point is that Cloudera complements popular cloud services, such as Amazon Web Services (AWS) and Microsoft Azure. The same enterprise capabilities delivered on premises are optimized for cloud environments, taking advantage of the elasticity and delivering the self-service desired.

Cloud 40

Cloud Azure Analytics AWS 40

Cloudera

JUNE 7, 2022

Sure we can help you secure, manage, and analyze PetaBytes of structured and unstructured data. We do that on-prem with almost 1 ZB of data under management – nearly 20% of that global total. We can also do it with your preferred cloud – AWS, Azure or GCP. Let us work with you on your hybrid data journey.

Data 107

Data Architecture Analytics Government 107

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Power BI Pro and Power BI Premium (these are sometimes referred to as Power BI Service) are more feature-rich, paid services hosted on the Microsoft Azure cloud.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Cloudera

FEBRUARY 17, 2021

Spin up clusters of NiFi, Kafka, or Flink very quickly onto your public cloud environments on AWS or Azure. Similarly, Streams Replication Manager, based on Mirrormaker2, proved that Cloudera truly delivered innovations that met the fundamental needs of enterprises such as business continuity. Join us in the fun!

Part-Time VPE 60

Part-Time VPE Analytics Leadership eBook 60

Cloudera

SEPTEMBER 1, 2020

In addition, DDE is certified with all Data Hub Flow Management templates in CDP Data Hub, in case you want to ingest data to Solr via NiFi, for instance, useful in cases where events or log data is what you need to make it searchable, in real-time. Before you Get Started. solrctl collection -- request - status req_0.

Data 66

Data Backup Disaster Recovery Storage 66

Xebia

FEBRUARY 25, 2024

In this blog post, we’ll try to demystify MLOps and take you through the process of going from a notebook to your very own industry-grade ML application. Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. What is this thing called MLOps ?

Applications 130

Applications Technical Review Software Review Azure 130

Cloudera

MAY 22, 2018

It was exactly one year ago at Strata London that we introduced the world to Cloudera Altus Data Engineering. We believed that if you empowered data engineers, data scientists, and analysts with self-service tools and access to unlimited data and compute, your organization can accomplish truly great things.

Azure 40

Azure Data Engineering AWS Engineering 40

Cloudera

SEPTEMBER 10, 2021

Shared Data Experience ( SDX ) on Cloudera Data Platform ( CDP ) enables centralized data access control and audit for workloads in the Enterprise Data Cloud. The public cloud (CDP-PC) editions default to using cloud storage (S3 for AWS, ADLS-gen2 for Azure).

Storage 79

Storage Cloud Azure Pharmaceuticals 79

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

Datavail

JUNE 15, 2023

The Microsoft Fabric announcement at Microsoft Build 2023 has caused quite a stir in the data and analytics world. Microsoft Fabric is an all-in-one analytics solution that brings together seven Azure services on a shared SaaS foundation, in a unified experience combined with AI. Both structured and unstructured data are supported.

Azure 52

Azure Analytics Storage Generative AI 52

CIO

DECEMBER 6, 2023

And the advice it offers Azure OpenAI customers cautions against producing “content on any topic” or using it in “scenarios where up-to-date, factually accurate information is crucial,” which presumably includes news sites. Not all generative AI customers have got that message.

Generative AI 334

Generative AI Artificial Inteligence Technical Review Weak Development Team 334

Cloudera

MAY 13, 2021

Since my last blog, What you need to know to begin your journey to CDP , we received many requests for a tool from Cloudera to analyze the workloads and help upgrade or migrate to Cloudera Data Platform (CDP). Fixed Reports / Data Engineering jobs . Fixed Reports / Data Engineering Jobs. Report Format.

Data Engineering 68

Data Engineering Cloud Weak Development Team Resources 68

O'Reilly Media - Ideas

JANUARY 25, 2024

Our data shows that most topics in software architecture and design are down year-over-year. While software architecture is down 3.9% (a relatively small decline), enterprise architecture is up 8.9%. Domain-driven design is particularly useful for understanding the behavior of complex enterprise systems; it’s down, but only 2.0%.

Trends 121

Trends Technical Review Technology Artificial Inteligence 121

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

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. Read why the future of data lakehouses is open. Enhanced multi-function analytics.

Cloud 76

Cloud Data Analytics Machine Learning 76

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

Altexsoft

MARCH 31, 2020

These can be data science teams , data analysts, BI engineers, chief product officers , marketers, or any other specialists that rely on data in their work. The simplest illustration for a data pipeline. Data pipeline components. Data lakes are mostly used by data scientists for machine learning projects.

Data 76

Data Storage Analytics Data Center 76

Cloudera

MARCH 6, 2018

Indeed, industry analyst firm Enterprise Management Associates (EMA) found the number one barrier to cloud was increased complexity. Facilitates productivity and development efficiency by making all data safely accessible in one place. Soon we’ll have Altus Data Science, too!

Analytics 40

Analytics Cloud Big Data AWS 40

Cloudera

SEPTEMBER 9, 2018

This makes it easy to meet the ever-changing needs of your data teams. Because Cloudera Altus Data Warehouse operates directly over data in your AWS or Microsoft Azure account, you can create security policies that comply with your company’s standards. SDX for Altus for shared data context (data catalog).

Data 40

Data Data Engineering Analytics Cloud 40

Cloudera

OCTOBER 26, 2017

Check out Greg Rahn’s session, “ Rethinking data marts in the cloud: Common architectural patterns for analytics ” at the Strata Data Conference in Singapore, December 4-7, 2017, to learn how to architect analytic workloads in the cloud and the core elements of data governance. Let’s discuss each in more detail.

Cloud 43

Cloud Data Storage Analytics 43

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. It enables enterprises to segregate workloads by data types, isolate processes to meet specific security requirements, or make configurations to support particular use cases. The Good and the Bad of Node.js

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. Tech giants: Google, Amazon SageMaker, Microsoft Azure, and IBM Watson. For data scientist, it has an integrated Jupyter Notebook environment. Source: Google Cloud Blog.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

Cloudera

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. Each unlocking value in the data engineering workflows enterprises can start taking advantage of.

Data Engineering 110

Data Engineering Engineering Data Storage 110

UruIT

JULY 23, 2019

.” Microsoft’s Azure Machine Learning Studio. Microsoft’s set of tools for machine learning includes Azure Machine Learning (which also covers Azure Machine Learning Studio), Power BI, Azure Data Lake, Azure HDInsight, Azure Stream Analytics and Azure Data Factory.

Artificial Inteligence 81

Artificial Inteligence Machine Learning Azure Software Review 81

Cloudera

MAY 18, 2021

That is accomplished by delivering most technical use cases through a primarily container-based CDP services (CDP services offer a distinct environment for separate technical use cases e.g., data streaming, data engineering, data warehousing etc.) data streaming, data engineering, data warehousing etc.),

Cloud 83

Cloud Technical Review Storage Backup 83

Cloudera

FEBRUARY 22, 2021

Providing a comprehensive set of diverse analytical frameworks for different use cases across the data lifecycle (data streaming, data engineering, data warehousing, operational database and machine learning) while at the same time seamlessly integrating data content via the Shared Data Experience (SDX), a layer that separates compute and storage.

Data 76

Data Analytics Government Technical Review 76