Data Virtualization

JANUARY 19, 2023

Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Whether or not they begin with on-premises systems, such modernization efforts often involve the implementation of hybrid configurations. Unfortunately, with data spread.

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Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. On data warehouses and data lakes. Data lakes and data warehouses unify large volumes and varieties of data into a central location.

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Cloudera

OCTOBER 4, 2023

Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. appeared first on Cloudera Blog. Don’t blink — or you’ll miss it! Kudu has this covered.

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Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis. Copyright © 2021 Accenture.

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Data Analytics Cloud Technical Review 82

CIO

SEPTEMBER 21, 2023

AI and change management Change management has long been instrumental to the success of AI projects. But, until this year, this was a relatively manageable problem since the AI projects had limited scope. This is the largest change management project in history,” says Greenstein. Gen AI took a few months.

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Datavail

DECEMBER 2, 2021

Snowflake took the market by storm when it introduced its innovative cloud-based data warehouse technology in 2014. Major companies like Anthem, DoorDash, and PepsiCo use Snowflake as a critical component of their systems, and its popularity continues to grow. You Pick the Platform. You Get Better Query Performance.

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Perficient

MARCH 19, 2023

Introduction In this blog, we will discuss Snowpipe , a very important feature of Snowflake. This means that instead of using a virtual warehouse, computing resources are managed by Snowflake itself. In this case, you don’t have to worry about virtual warehouses. Hope this blog helps!

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Perficient

AUGUST 8, 2023

I have read several articles that explain that the Data Lake, Data Warehouse, and Data Lakehouse are different repositories and that you may need several or all of them. The definition of a classic Data Warehouse and Data Mart typically involves star schemas and dimensional models. You can find my three-part series, here.

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Cloudera

DECEMBER 10, 2020

Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. Data warehouses have been broadly adopted to provide timely reports and valuable insights. What is Cloudera Data Warehouse (CDW)?

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Data Technical Review Storage Systems Review 98

Perficient

FEBRUARY 14, 2024

Oracle Fusion HCM Analytics, a part of Oracle Fusion Data Intelligence Platform (DIP) (earlier known as Fusion Analytics Warehouse), equips various management levels with deep insights to effectively manage the workforce across the organization. What data to include in DIP?

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Perficient

DECEMBER 30, 2022

There has been some great insight posted by my Perficient colleagues that can be great resources for managers, analysts, and administrators within the Enterprise Management Performance space. How the team Leveraged Accounting Hub to access transactions in legacy systems. Perficient’s Journey to Oracle ERP and HCM Cloud.

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InnovationM

MAY 14, 2023

Demystifying Data Lakes Data lakes serve as flexible storage repositories, enabling organizations to store raw and diverse data types, breaking away from the constraints of traditional data warehouses. These systems ensure high availability and facilitate the storage of massive data volumes.

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Data Storage Construction Business Intelligence 52

Altexsoft

JANUARY 14, 2022

Here’s how it is set to change supply chain management in 2022. One of the earliest applications to appear was the multishuttle system. These systems are a part of larger automated storage and retrieval systems. Supply chain analytics is widely used, but these powerful platforms are powered by humble RPA systems.

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Technical Review Storage Analytics Systems Review 111

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

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Cloudera

MAY 10, 2021

The introduction of CDP Public Cloud has dramatically reduced the time in which you can be up and running with Cloudera’s latest technologies, be it with containerised Data Warehouse , Machine Learning , Operational Database or Data Engineering experiences or the multi-purpose VM-based Data Hub style of deployment.

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Cloud Machine Learning Artificial Inteligence Software Review 104

Capgemini

MAY 20, 2020

Retailers have long been hampered by their data infrastructures, first by structural limitations inherent in data warehouses and then the expense and lack of agility of newer big-data systems. In part one of this blog, I examine the cost of legacy systems and introduce an answer to th at problem. .

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Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . Our solution: Cloudera Data Visualization.

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Data How To Technical Review Systems Review 81

Perficient

FEBRUARY 20, 2024

Companies around the globe are increasingly turning to Customer Data Platforms (CDPs) to consolidate and manage their customer information effectively. In this blog post, we’ll explore the compelling reasons why incorporating Data Cloud alongside an existing CDP can be a game-changer for businesses.

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CIO

FEBRUARY 14, 2023

Finally, machine learning is essentially the use and development of computer systems that learn and adapt without following explicit instructions; it uses models (algorithms) to identify patterns, learn from the data, and then make data-based decisions. report they are managing data as a business asset 47.4%

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Perficient

AUGUST 3, 2023

While I had presented several options of extracting data from Oracle SaaS in my previous blog posts, in this post, I am focusing on an accelerator solution tailored for an OCI data lake with Oracle Autonomous Data Warehouse. Automated management of Oracle Cloud Object Storage data files cleanup and archiving. How is it done?

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Cloudera

NOVEMBER 1, 2022

A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: The federal government spends nearly 75% of its annual information technology funding on operating and maintaining existing legacy information technology systems.

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Apps Associates

JULY 28, 2022

This blog introduces you to Oracle Cloud Infrastructure (OCI) Data Integration service and reviews how to setup Data Integration workspace in OCI. Oracle Cloud Infrastructure Data Integration is a next generation, fully managed, multi-tenant, serverless, native cloud ETL service. On-Premise -customer managed. Operating system.

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Tenable

JULY 14, 2020

Due to the lack of authentication, a remote unauthenticated attacker could execute “critical actions,” including creating an administrator user and providing them with the “keys to the kingdom” over the SAP NetWeaver AS JAVA system. SAP Product Lifecycle Management. SAP Customer Relationship Management. SAP Solution Manager.

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Cloudera

OCTOBER 11, 2022

He goes on to say “The key lesson in all of this is to think of AI as a learning-based system.” But when that AI system is depended upon to make business critical decisions, the data set must be complete, accurate, and updated on a real time (or near real time) basis. It should have common management, security and governance tools.

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Data Analytics Government Cloud 90

Cloudera

NOVEMBER 12, 2020

In addition, costs generated by independent IT projects frequently skyrockets with few controls in place to manage them. At Cloudera, we listened to our customers’ problems and built the Burst to Cloud feature in Workload Manager (WXM), Cloudera’s intelligent workload management tool. A solution.

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Data Center Cloud Data Policies 101

Cloudera

MAY 17, 2021

release blog ). In this blog, we’ll cover the complete range of new capabilities and updates for CDP Private Cloud as a whole (the platform) as well as for both the CDW (Cloudera Data Warehouse) and CML (Cloudera Machine Learning) services. appeared first on Cloudera Blog. CDP (Cloudera Data Platform) Private Cloud 1.2

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Cloud Machine Learning Artificial Inteligence Storage 88

Erik Bernhardsson

JUNE 7, 2020

Compensation has always been one of the most confusing parts of management to me. Yet, almost everything I learned about compensation comes from practical experience, so what follows is a blog post I wish I could have read ten years ago! Good/bad compensation systems. A good system pre-empts people interviewing elsewhere.

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Sunflower Lab

MARCH 21, 2024

From supplier performance analysis to purchase order tracking, spend analysis, inventory management, and beyond, we will delve into the various functionalities of these Power BI Dashboards and demonstrate how it can help organizations like yours to drive business success through data-driven procurement management.

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Cloudera

SEPTEMBER 29, 2022

Data Mesh is a concept used to help scale a company’s data footprint in a manageable way. It is a set of rubrics around people, process, and technology choices that allow for companies to scale their data systems. . Corresponding to the data mesh example in Figure 4, D1, D2 are tables in a data warehouse. Miro: [link].

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Architecture Trends Data Data Center 74

RapidValue

JUNE 26, 2020

This blog depicts the offerings of Oracle Analytics Cloud, connectors to different backend systems primarily Oracle Fusion SaaS, data warehousing options, data transformation and visualization options and future capabilities. Excellent support for databases and data warehouses. Oracle Technical Project Manager, RapidValue.

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Analytics Cloud Technical Review Data 72

Cloudera

JUNE 5, 2023

This blog is to congratulate our winner and review the top submissions. as well as significant features in the upcoming release, and surveyed the community about the dev/ops challenges of managing their own nodes. On the verge of the release of NiFi 2.0, The team discussed NiFi’s origins and the journey to NiFi 2.0

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Technical Review Google Cloud Software Review Part-Time VPE 74

Datavail

JULY 14, 2022

While maximizing all business assets is the goal of most business owners, many don’t have the in-house resources needed to capture and manage all the assets that their organization generates. One of the reasons so many companies lose track of their data is because they don’t focus on (or invest in) the technologies that manage it.

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Data AWS Analytics Programming 52

Cloudera

JULY 14, 2023

Introduction For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. In this blog, I will describe a few strategies one could undertake for various use cases. This will be discussed in a later blog.

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Backup Data Engineering Engineering Data 70

Cloudera

OCTOBER 6, 2022

CIO blog post : “Digital transformation is a foundational change in how an organization delivers value to its customers.”. Replace legacy: It’s hard to avoid having “legacy” systems/applications or versions since technology advancements are moving so fast these days. appeared first on Cloudera Blog.

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Cloudera

SEPTEMBER 21, 2021

Many customers looking at modernizing their pipeline orchestration have turned to Apache Airflow, a flexible and scalable workflow manager for data engineers. Apache Airflow providers are a set of packages allowing services to define operators in their Directed Acyclic Graphs (DAGs) to access external systems.

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Cloudera

FEBRUARY 9, 2021

This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability. Today, more and more customers are moving workloads to the public cloud for business agility where cost-saving and management are key considerations.

Cloud 67

Cloud Data Storage Analysis 67

Actian

FEBRUARY 5, 2020

Are you considering a hybrid cloud data warehouse for your company? Here is a list of the top must-have features of a hybrid cloud data warehouse solution. This should go without saying – your data warehouse stores a lot of valuable and sensitive information about your company, your products, your customers, and your operations.

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