ParkMyCloud

DECEMBER 11, 2020

With the combined knowledge from our previous blog posts on free training resources for AWS and Azure , you’ll be well on your way to expanding your cloud expertise and finding your own niche. Blogs & Forums. Google Cloud and Qwiklabs have blogs of their own, perfect for supplemented reading with their trainings.

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Google Cloud Training Resources Cloud 97

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . The Data Scientist.

Data 97

Data Virtualization Banking Data Engineering 97

O'Reilly Media - Ideas

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. 64% of the respondents took part in training or obtained certifications in the past year, and 31% reported spending over 100 hours in training programs, ranging from formal graduate degrees to reading blog posts.

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Survey Data Technical Review Training 145

Cloudera

JANUARY 15, 2021

As depicted in the chart, Cloudera Data Warehouse ran the benchmark with significantly better price-performance than any of the other competitors tested. Compared to CDW, Amazon Redshift ran the workload at 19% higher cost, Azure Synapse Analytics had 43% higher cost, DW1 had 79% higher cost, and DW2 had 5.5x higher cost.

Performance 97

Performance Cloud Data Storage 97

Mobilunity

MAY 8, 2023

Analytics zone is where data analysts and data scientists can access the data to perform queries, generate reports, and create models. The analytics zone may include tools for data visualization, machine learning, and predictive analytics. It includes tools for data lineage, metadata management, and access control.

Engineering 52

Engineering Data Storage AWS 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. The sessions were filled with engaging conversations with all the open-source tool developers, meet-up organizers, consultants, entrepreneurs, experts, and renowned speakers.

Open Source 52

Open Source Database Administration Survey AWS 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. Index your Data.

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Data How To AWS Resources 85

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. The most powerful tool we have as developers is automation.” — Scott Hanselman. If you are using VMs in Azure or AWS the Default credentials will be automatically collected from your local user profile (.aws

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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. You get 10GB of cloud storage and can upload 1GB of data at a time. It’s a great option for small businesses that can get a robust BI tool with rich functionality – at no cost.

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Weak Development Team Data Azure Analytics 52

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 113

Data Architecture Analytics Government 113

TIBCO - Connected Intelligence

APRIL 22, 2021

Granted, you need backups, but even if you back up all your new data twice, you still consume 50% more energy to store all the other extra copies. The primary driver behind data’s growth is business’ reliance on data as fuel for analytical insight. Some analytic tools query data efficiently.

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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 ?

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Applications Technical Review Software Review Azure 130

Xebia

JULY 28, 2023

Introduction In a previous Blog post, I discussed how to manage multiple BigQuery projects with one dbt Cloud project. Setup the Azure Service Principal : We want to avoid Personal Tokens that are associated with a specific user as much as possible, so we will use a SP to authenticate dbt with Databricks.

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Cloud Azure How To Windows 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

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. But this wasn’t the first time Bing’s AI news added dubious polls to sensitive news stories.

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Generative AI Artificial Inteligence Technical Review Weak Development Team 334

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.

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Azure Analytics Storage Generative AI 52

O'Reilly Media - Ideas

JANUARY 25, 2024

That change is important because event-driven architecture is a tool for designing large systems that have to ingest data from many different streams in real time. 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. We also saw 9.8%

Trends 115

Trends Technical Review Technology Artificial Inteligence 115

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, he highlighted the need for DBAs to have a deep understanding of cloud platforms like Amazon Web Services (AWS) and Microsoft Azure.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 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). The good news is Cloudera has a tried and tested tool, Workload Manager (WM) that meets your needs. Query heavy.

Data Engineering 73

Data Engineering Cloud Weak Development Team Resources 73

Xebia

MAY 16, 2023

We’ll explore in this blog how to address the headaches of dealing with different cloud stacks. The uncalled-for bottlenecks Besides the steep learning curve towards mastering the intricacies of each cloud stack, there naturally comes some limited flexibility, especially because of different proprietary tooling and workflow constraints.

Cloud 130

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Perficient

APRIL 1, 2024

Traditionally, organizations used to provision multiple services of Azure Services, like Azure Storage, Azure Databricks, etc. This data needs to be ingested on a real-time basis into the warehouse, for further usage by the data scientist & data analyst team. PySpark is Python based SDK for Spark.

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Data Azure Case Study Data Engineering 64

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?

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Weak Development Team Technical Review Software Review Systems Review 52

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.

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Artificial Inteligence Knowledge Base AWS Azure 59

Xebia

JANUARY 9, 2024

dbt is a great tool to do your data transformations, and it is widely adopted within modern data stacks all around the world. Elementary can be configured to put these models into a separate schema from the rest of your data. Please leave me a message if you have any questions or remarks about this blog post.

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Testing Data Open Source Google Cloud 130

Palo Alto Networks

AUGUST 23, 2021

This offering makes generally available the advanced tools we have been using within Palo Alto Networks’ Unit 42 Security Consulting Group. . Cortex XDR Extends Native Analytics to Cloud Data, Enabling SOC Teams to Prevent, Detect and Respond to Threats Across Hybrid and Multi-Cloud Environments. Read on for more details! .

Cloud 93

Cloud Machine Learning Artificial Inteligence Analytics 93

Altexsoft

MARCH 31, 2020

You need an efficient data pipeline. What is a data pipeline? A data pipeline is a set of tools and activities for moving data from one system, with its method of data storage and processing, to another system in which it can be stored and managed differently. The simplest illustration for a data pipeline.

Data 76

Data Storage Analytics Data Center 76

DataRobot

SEPTEMBER 14, 2021

Siloed teams, disconnected tools, the complexity of deploying across distributed clouds, immature operations, all combine to extend deployment timelines, diminish business impact and increase risk to sensitive data and business operations. But too often and for far too many, the reality is much more challenging.

Cloud 52

Cloud Data Center Machine Learning Artificial Inteligence 52

Cloudera

MARCH 6, 2018

Administrative and productivity burden increases when moving data and its definitions across systems, and this burden grows exponentially with the addition of more analytics workloads and tools. Altus SDX includes a shared metadata catalog that puts data in context. Soon we’ll have Altus Data Science, too!

Analytics 40

Analytics Cloud Big Data AWS 40

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. process data in real time and run streaming analytics. In other words, Kafka can serve as a messaging system, commit log, data integration tool, and stream processing platform.

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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.

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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. Automated machine learning or AutoML is the process of reducing manual work in the machine learning pipeline with the help of special software tools. AutoML tools: general overview.

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. Usage Patterns.

Data Engineering 114

Data Engineering Engineering Data Storage 114

UruIT

JULY 23, 2019

This tool allows devs to work on a web environment already set up, so the team can collaboratively share experiments. Its Amazon SageMaker tool is an interesting option for quickly building, training and deploying machine learning models at scale. ” Microsoft’s Azure Machine Learning Studio.

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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.) BDR (legacy Cloudera offering not licensed any more) or 3rd party tool . ~$10K

Cloud 86

Cloud Technical Review Storage Backup 86

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.

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Data Analytics Government Technical Review 82