Cloudera

APRIL 30, 2021

Apache Spark is now widely used in many enterprises for building high-performance ETL and Machine Learning pipelines. Cloudera Data Engineering (CDE) is a cloud-native service purpose-built for enterprise data engineering teams. Try out Cloudera Data Engineering today!

Data Engineering 65

Data Engineering Engineering Data Software Review 65

Cloudera

OCTOBER 13, 2020

Over the past year, we’ve not only added Azure as a supported cloud platform, but we have improved the orginal services while growing the CDP-PC family significantly: Improved Services. Enrich – Data Engineering (Apache Spark and Apache Hive). Predict – Data Engineering (Apache Spark). New Services.

Cloud 100

Cloud Machine Learning Artificial Inteligence Azure 100

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

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

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

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. The term “hyperscale” is used by Gartner to refer to Amazon Web Services, Microsoft Azure, and Google Cloud Platform. REAN Cloud has expertise working with the hyperscale public clouds.

Cloud 78

Cloud Google Cloud Azure AWS 78

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 52

Data Storage Construction Business Intelligence 52

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.

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 86

Cloud AWS Azure Linux 86

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. Marketing departments can track how successful their campaigns perform, predict customer churn , and conduct sentiment analysis. Power BI data sources.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Cloudera

SEPTEMBER 9, 2020

This blog post will present a simple “hello world” kind of example on how to get data that is stored in S3 indexed and served by an Apache Solr service hosted in a Data Discovery and Exploration cluster in CDP. We will only cover AWS and S3 environments in this blog. We will leave a deeper dive for a future blog post.

Data 85

Data How To AWS Resources 85

Cloudera

SEPTEMBER 1, 2020

Solr is a standard and open source, commonly adopted text search engine with rich query APIs for performing analytics over text and other unstructured data. For the examples presented in this blog, we assume you have a CDP account already. Before you Get Started. solrctl collection -- request - status req_0.

Data 71

Data Backup Disaster Recovery Storage 71

TIBCO - Connected Intelligence

APRIL 22, 2021

Leading cloud providers such as AWS, Microsoft Azure, and Google Cloud have developed world-class cloud data centers whose sustainability levels are difficult for organizations like yours to match because: They optimize server performance and usage elastically with demand, powering down what isn’t needed.

Sustainability 46

Sustainability Virtualization Data Energy 46

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

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. DBFS provides a unified interface to access data stored in various underlying storage systems. What is DBFS?

System 52

System Storage Azure Big Data 52

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). Performance metrics appear in charts and graphs. . Establishing performance baselines between CDH/HDP and CDP.

Data Engineering 74

Data Engineering Cloud Weak Development Team Resources 74

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

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

Settling the months-long writers and actors strikes in Hollywood in early November required the studios to make concessions limiting the ways AI tools can be used to replace human writers and performers. In addition, over half called a lack of skilled workers their biggest barrier, which usually refers to developers and data engineers.

Generative AI 334

Generative AI Artificial Inteligence Technical Review Weak Development Team 334

Cloudera

DECEMBER 15, 2022

You can leverage Kubernetes (K8s) and containerization technologies to consistently deploy your applications across multiple clouds including AWS, Azure, and Google Cloud, with portability to write once, run anywhere, and move from cloud to cloud with ease. Maintaining performance and manageability with improved table maintenance .

Cloud 82

Cloud Data Analytics Machine Learning 82

O'Reilly Media - Ideas

JANUARY 25, 2024

Rachel Stephens provides two fascinating pieces of the puzzle in a recent article on the RedMonk blog , but those pieces don’t fit together exactly. Rust is a relatively young language that stresses memory safety and performance. It’s designed for high performance, especially for numerical operations. SQL Server also showed a 5.3%

Trends 118

Trends Technical Review Technology Artificial Inteligence 118

OpenCredo

FEBRUARY 6, 2024

This use case was chosen because it involves semi-structured documents with quite a high density of information, rather than free flowing and verbose texts such as this blog post, so could present more of a challenge for the application. The two main services we will be using are AWS Bedrock and Azure OpenAI.

Artificial Inteligence 59

Artificial Inteligence Knowledge Base AWS Azure 59

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 64

Groups Cloud AWS Data 64

Cloudera

FEBRUARY 8, 2022

COD enables customers to deliver prototypes within an hour in a cloud of your choice — AWS and Azure are generally available, GCP is available in Tech Preview — with the power to effortlessly scale to petabytes of data. In addition, COD delivers a significant TCO reduction relative to existing HBase deployments. .

System 69

System Cloud Azure AWS 69

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. What is Apache Airflow?

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

Altexsoft

MARCH 31, 2020

Besides running daily operations, you may evaluate your performance. It means you must collect transactional data and move it from the database that supports transactions to another system that can handle large volumes of data. Imagine that you’re gathering various data that shows how people engage with your brand.

Data 76

Data Storage Analytics Data Center 76

Xebia

JANUARY 9, 2024

This gives some high-level information, however it is hard to determine what the actual SQL is that was executed, and on which exact records a data quality test failed or raised a warning. Logs will purely show information about a single run, so you don’t have an easy way to see how a test performs over time.

Testing 130

Testing Data Open Source Google Cloud 130

Palo Alto Networks

AUGUST 23, 2021

we are leveraging ML-based threat detectors against an extensive set of identity data sources, including Active Directory, Identity and Access Management products (including Okta, Ping and Azure AD), human resources (HR) platforms (like Workday) and SASE gateways. appeared first on Palo Alto Networks Blog. With Cortex XDR 3.0,

Cloud 92

Cloud Machine Learning Artificial Inteligence Analytics 92

DataRobot

SEPTEMBER 14, 2021

AI Cloud brings together any type of data, from any source, giving you a unique, global view of insights that drive your business. All of this is part of a unified, integrated platform spanning data engineering, machine learning, decision intelligence, and continuous AI – the entire AI lifecycle.

Cloud 52

Cloud Data Center Machine Learning Artificial Inteligence 52

Altexsoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. High performance. How Apache Kafka streams relate to Franz Kafka’s books.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Cloudera

OCTOBER 26, 2017

The main technology drivers enabling cloud BI are: The ability to cost-effectively scale data storage in a single repository using cloud storage options such as Amazon S3 or Azure Data Lake Store (ADLS). Once the cluster is ready, data exploration can take place, allowing the data analyst to perform an analysis.

Cloud 43

Cloud Data Storage Analytics 43

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. It boosts the performance of ML specialists relieving them of repetitive tasks and enables even non-experts to experiment with smart algorithms. Source: Google Cloud Blog.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

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.) Fine-grained Data Access Control. 1 Year Reserved . 13,000-18,500.

Cloud 86

Cloud Technical Review Storage Backup 86

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

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 83

Data Analytics Government Technical Review 83