Data Virtualization

FEBRUARY 22, 2023

Reading Time: 2 minutes The data lakehouse attempts to combine the best parts of the data warehouse with the best parts of data lakes while avoiding all of the problems inherent in both. However, the data lakehouse is not the last word in data.

Data 52

Data Virtualization Analysis Government 52

Data Virtualization

FEBRUARY 22, 2023

Reading Time: 2 minutes The data lakehouse attempts to combine the best parts of the data warehouse with the best parts of data lakes while avoiding all of the problems inherent in both. However, the data lakehouse is not the last word in data.

Data 52

Data Virtualization Analysis Government 52

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. Unfortunately, with data spread.

Azure 52

Azure Architecture Analytics Data 52

TechCrunch

MARCH 30, 2022

Wicked fast VPNs, data organization tools, auto-generated videos to spice up your company’s Instagram stories … Y Combinator’s Winter 2022 open source founders have some interesting ideas up their sleeves. Location: Salt Lake City, Utah. Here are all of the open source related companies presenting at Demo Day in the Winter 2022 cohort.

Open Source 195

Open Source Company Fractional CTO Artificial Inteligence 195

Data Virtualization

AUGUST 19, 2021

“Data mesh” is a new data analytics paradigm proposed by Zhamak Dehghani, one that is designed to move organizations from monolithic architectures such as the data warehouse and the data lake to more decentralized architectures. As long-time supporters of logical.

Virtualization 98

Virtualization Data Architecture Analytics 98

Data Virtualization

AUGUST 19, 2021

“Data mesh” is a new data analytics paradigm proposed by Zhamak Dehghani, one that is designed to move organizations from monolithic architectures such as the data warehouse and the data lake to more decentralized architectures. As long-time supporters of logical.

Virtualization 98

Virtualization Data Architecture Analytics 98

Perficient

MARCH 29, 2023

Set up the SAP Data Hub environment, connect to the SAP data, set up a pipeline with Pipeline Modeler, configure the Streaming Analytics Service, setup Kafka or MQTT and receive the streaming data in Databricks with Spark Streaming. Data lakehouses enable business intelligence (BI) and machine learning (ML) on all data.

Analytics 81

Analytics Machine Learning Artificial Inteligence Architecture 81

The Crazy Programmer

SEPTEMBER 25, 2021

It is a Relational Database Management System (RDBMS) that is used to efficiently store, analyze, and retrieve data. Db2 solutions include operational databases, data warehouses, data lakes, and rapid data. IBM Db2 data management product package, which contains the following tools: Db2 Database.

Disaster Recovery 113

Disaster Recovery Backup Linux Storage 113

Xebia

APRIL 8, 2022

More organisations are starting to recognize the value of data. With these requirements, and especially when concerning (personal) data, security related questions start popping up. In this blog post we want to touch on our top 5 security related topics when it comes to managing a data lake or running a data warehouse on AWS.

AWS 130

AWS Data Cloud Compliance 130

Datavail

DECEMBER 2, 2021

Snowflake took the market by storm when it introduced its innovative cloud-based data warehouse technology in 2014. It is one of the first data warehousing platforms offered as a software as a service (SaaS) product with storage, compute, and cloud services operating separately and billing as independent units.

Data 98

Data Analytics Azure Storage 98

Cloud That

NOVEMBER 17, 2022

AWS Glue is a robust, cost-effective ETL (extraction, transformation, and loading) service used to clean, enhance, categorize, and securely move data between data streams and repositories. AWS Glue is a cloud service that prepares data for analysis. You can work with semi-structured or grouped data using AWS Glue.

AWS 75

AWS Data Serverless Cloud 75

Perficient

FEBRUARY 13, 2023

Introduction: We often end up creating a problem while working on data. So, here are few best practices for data engineering using snowflake: 1.Transform Load data using COPY or SNOWPIPE: Approximately 80% of data loaded into a data warehouse is ingested via regular batch processes, or increasingly as soon as the data files arrive.

Data Engineering 69

Data Engineering Engineering Data Storage 69

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: . Company data exists in the data lake.

Data 97

Data Virtualization Banking Data Engineering 97

CTOvision

OCTOBER 21, 2015

Over the past few years, there has been an explosion in the volume of data. To tackle this big data explosion, there has been a rise in the number of successful Hadoop projects in enterprises. Is the Data Lake an effective catchment for all of the enterprise data? Read more about Data Lake here.

Enterprise 92

Enterprise Data Systems Review Technical Review 92

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. I love Data Integration in OCI and hope to get you excited about this great product as well. I will deep dive into the details and answer many questions about data integration.

Infrastructure 52

Infrastructure Cloud Data Linux 52

Cloudera

FEBRUARY 12, 2024

Get it wrong and your deployment may become wholly unusable with users unable to access and use the Cloudera data services. DNS servers are usually deployed in the hub virtual network or an on-prem data center instead of in the Cloudera VNET. There is at present no option to disable private DNS zones for data engineering.

Azure 52

Azure Firewall Data Engineering Storage 52

TIBCO - Connected Intelligence

MARCH 30, 2021

Just a few years ago, the idea of using the cloud to run your data and analytics workloads might have seemed odd. But with cloud migration driven at the highest levels, including corporate boardrooms in the private sector and government mandates such as the Federal Data Strategy in the public sector, this perception has changed dramatically.

Virtualization 53

Virtualization Cloud Data Analytics 53

TIBCO - Connected Intelligence

OCTOBER 2, 2020

The Data Telephone Game. Interestingly, over the past thirty years, data management has adopted the same telephone game formula, copying data from one database to the next, with many stops on the journey. . How Big is this Repeated Copying of Data Problem? Just how much data is getting copied?

Games 41

Games Data Virtualization .Net 41

Cloudera

SEPTEMBER 15, 2022

Cloudera Contributor: Mark Ramsey, PhD ~ Globally Recognized Chief Data Officer. July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. Luke: What is a modern data platform?

Data 79

Data Architecture Analytics Cloud 79

Cloudera

JUNE 5, 2023

On May 3, 2023, Cloudera kicked off a contest called “Best in Flow” for NiFi developers to compete to build the best data pipelines. Cloudera VP of Engineering and NiFi founder Joe Witt, joined by principal committers Mark Payne and Matt Gillman, addressed the global community via a virtual event dubbed “ Meet the Committers.”

Technical Review 74

Technical Review Google Cloud Software Review Part-Time VPE 74

TIBCO - Connected Intelligence

MAY 18, 2020

One of the biggest challenges of moving to a hybrid, multi-cloud, or intercloud environment is obtaining complete business views across all your data. A complete view of customer data can help businesses improve customer experience and engagement. There’s more value to be discovered with 360-degree views beyond customer data.

Cloud 52

Cloud Data Azure Virtualization 52

TIBCO - Connected Intelligence

SEPTEMBER 14, 2020

Everyone yearns for consistent, well-governed, data that is easy to access and use. It enables organizations to more easily and successfully explore their data for insights, provide data as a service, report in real-time, and monitor digital operations. Data virtualization is rising to meet this challenge.

Virtualization 49

Virtualization Data Analytics Innovation 49

TIBCO - Connected Intelligence

SEPTEMBER 7, 2021

But with major growth, comes growing pains: more specifically, disparate data silos and disconnected, legacy systems. To revolutionize its relationship with data, Volkswagen Pon Financial Services turned to TIBCO solutions—and its success story is a great example of how you can too. Is Data Virtualization the Right Solution for You?

Virtualization 32

Virtualization Data Insurance Software Review 32

Cloudera

NOVEMBER 12, 2020

Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data. Key areas of concern are: .

Data Center 101

Data Center Cloud Data Policies 101

CTOvision

MAY 11, 2015

Hortonworks will be discussing how to optimize the entire big data supply chain on Hadoop and how to turn data into actionable information to drive business value. Unlock Data's Potential at Informatica World (hortonworks.com). Teradata rolls out warehouse appliance, adds virtualization feature (siliconangle.com).

Big Data 86

Big Data Open Source Architecture Virtualization 86

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. Then we perform frequent batch ETL from application databases to a data warehouse. Classic ETL. then ELT is a more preferred option.

Storage 40

Storage Big Data Google Cloud Analysis 40

Perficient

NOVEMBER 30, 2022

Selipsky welcomed 50,000 in-person attendees and 300,000 virtual attendees from around the globe. Amazon Aurora now supports zero-ETL integration with Amazon Redshift, to enable near real-time analytics and machine learning (ML) using Amazon Redshift on petabytes of transactional data from Aurora. New Amazon Connect Features.

AWS 64

AWS Serverless Healthcare Analytics 64

ParkMyCloud

APRIL 14, 2020

AWS calls Redshift the “most popular and fastest” cloud data warehouse. It is fully-managed, and scalable to petabytes of data for storage and analysis. You can use Redshift to analyze your data using SQL and business intelligence tools. DC2 nodes – these compute-intensive data warehouses include local SSD storage.

AWS 57

AWS Backup Storage Scalability 57

TIBCO - Connected Intelligence

FEBRUARY 8, 2021

You can’t escape your data. So, naturally, you would think the more data the better, right? Only if you can effectively manage all your data. With data distributed across a myriad of applications, databases, marts, warehouses, and lakes, on-premises and in the cloud, it can be a challenge just to simply access all your data.

Virtualization 29

Virtualization Data Innovation Data Engineering 29

Datavail

SEPTEMBER 30, 2022

Virtually every company has (or has had) data silos. Traditionally, data silos weren’t a problem, but in today’s data intensive business environment, they no longer service your data management capabilities you need to be competitive. How Did We End Up with Data Silos? Data silos started quite innocently.

Data 42

Data Virtualization Analytics Trends 42

Cutter Consortium

JUNE 29, 2018

Furthermore, unless the business in question is a start-up, the digital business systems must work with existing systems in diverse ways: exchanging data with them, supplementing or complementing them, or even displacing some of them over time. What role would a data lake play? How will data governance/management be handled?

Data 40

Data Journal Systems Review Technical Review 40

TIBCO - Connected Intelligence

JUNE 25, 2020

My friend Rick van der Lans, the world’s most published author on data virtualization, and I have collaborated dozens of times—on whitepapers, articles, seminars, webinars, and more—over the past 15 years. The latest is Rick’s whitepaper, Overcoming Cloud Data Silos with Data Virtualization. Click To Tweet.

Virtualization 34

Virtualization Data Cloud LAN 34

TIBCO - Connected Intelligence

NOVEMBER 9, 2020

Nearly 2500 years ago, Plato captured data quality’s most fundamental principle, “ Beauty lies in the eyes of the beholder.” And when your organization applies this principle to data quality today, your business users are the only judges who matter. Try this for a simple data quality lens. .

Data 52

Data How To Virtualization Strategy 52

Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Altexsoft

APRIL 13, 2023

Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. But of course, you can only share data you have yourself – so higher visibility leads to higher transparency. Let’s look at what they say in recent surveys.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Cloudera

FEBRUARY 16, 2022

In the case of CDP Public Cloud, this includes virtual networking constructs and the data lake as provided by a combination of a Cloudera Shared Data Experience (SDX) and the underlying cloud storage. Each project consists of a declarative series of steps or operations that define the data science workflow.

Machine Learning 82

Machine Learning Artificial Inteligence Weak Development Team Construction 82

TIBCO - Connected Intelligence

NOVEMBER 24, 2020

From Data, Data Everywhere… Data equals opportunity. The more data the better. . But because your data is so distributed across a diverse landscape of applications, databases, marts, warehouses, and lakes, both on-premises and in the cloud, simply accessing all your data is a huge challenge. .

Data 26

Data How To Analytics Survey 26