Hu's Place - HitachiVantara

SEPTEMBER 12, 2018

In the early days of cloud there were concerns about trusting your data to the cloud. There were also disasters where cloud companies like Nirvanix , one of the pioneers of cloud-based storage went out of business and gave customers only two weeks to retrieve and remove their data. year over year to $3.1 billion and was 23.9%

Cloud 49

Cloud Data Center Storage Google Cloud 49

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? 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. These costs impede the adoption of cloud-native data warehouses.

Data 98

Data Technical Review Storage Systems Review 98

Daniel Bryant

MARCH 27, 2019

Instead, we see the proliferation of multi-platform data centers and cloud environments where applications span both VMs and containers. In these data centers the Ambassador API gateway is being used as a central point of ingress, consolidating authentication , rate limiting , and other cross-cutting operational concerns.

Load Balancer 40

Load Balancer Google Cloud Data Center Firewall 40

Bernd Rucker

JUNE 28, 2022

We applied modern distributed system concepts and can now even allow geo-redundant workloads, often referred to as multi-region active-active clusters. Using this technology, organizations can build resilient systems that can withstand disasters in the form of a complete data center outage. Multi-region?

Data Center 52

Data Center How To Examples Cloud 52

Cloudera

SEPTEMBER 1, 2022

Think petabytes of data spread across trillions of rows, ready for consumption in real-time. In this blog, we’ll talk about Cloudera Operational Database (COD), a DBPaaS offering available on Cloudera Data Platform (CDP) that brings all the benefits of HBase without any of the overheads. COD in the Cloudera Data Platform (CDP).

Applications 80

Applications Cloud Disaster Recovery Government 80

Cloudera

JULY 13, 2022

In this article we discuss the various methods to replicate HBase data and explore why Replication Manager is the best choice for the job with the help of a use case. In CDP’s Operational Database (COD) you use HBase as a data store with HDFS and/or Amazon S3/Azure Blob Filesystem (ABFS) providing the storage infrastructure. .

Disaster Recovery 87

Disaster Recovery Data Policies Azure 87

N2Growth Blog

SEPTEMBER 28, 2020

Whether leading an emerging growth company or a large multi-national corporation, aside from the CEO , there is arguably no position that has impact and contribution like the CHRO. They focus on reinvention, not just replication.” The CHRO job just got more interesting, and so did this year’s awards.

Weak Development Team 187

Weak Development Team Culture Leadership Resources 187

Cloudera

MAY 6, 2021

In the introductory article of this series, I presented the overarching framework for quantifying the value of the Cloudera Data Platform (CDP): . The answer is, yes, there are direct, quantifiable benefits by employing cloud arbitrage strategies, in addition to the broader, strategic advantages that a multi-cloud capability has.

Cloud 91

Cloud Strategy Technical Review Systems Review 91

Datavail

SEPTEMBER 28, 2021

Turnkey data replication. Multi-region and multi-master writes. Another advantage of using Azure Cosmos DB for your MongoDB databases is gaining access to global multi-region zones. While single-region deployments are available, they are only guaranteed for 99.99% availability.

Azure 97

Azure Cloud Open Source Serverless 97

Cloudera

AUGUST 20, 2021

How CDP Enables and Accelerates Data Product Ecosystems. A multi-purpose platform focused on diverse value propositions for data products. As a result, CDP-enabled data products can meet multiple and varying functional and non-functional requirements that correspond to product attributes, each fulfilling specific customer needs.

Strategy 95

Strategy Data Technical Review Weak Development Team 95

Netflix Tech

JUNE 14, 2023

This blog post will share broadly-applicable techniques (beyond GraphQL) we used to perform this migration. In such cases, we were not testing for response data but overall behavior. It gave us confidence in replicated business logic, where subscriber plans and user geographic location determined the customer’s catalog availability.

Metrics 141

Metrics Testing Video Tools 141

Datavail

SEPTEMBER 2, 2020

Aurora write forwarding can help address some of the current challenges and limitations with Aurora Multi-Master. By using this approach, you can send all your transactions to secondary which will then apply on the primary server and then replicates back to your replicas. You’ll have two (2) replica in this region created.

AWS 52

AWS Applications Data Examples 52

Palo Alto Networks

MARCH 15, 2023

This supports better security outcomes, reduces operational complexity, and leverages the power of AI/ML to share data across a unified platform. And, with industry-leading SLAs, a resilient multi-cloud architecture, and best-in-class security, the enhanced ZTNA Connector ensures secure access to critical private applications.

WAN 52

WAN Innovation IoT Cloud 52

taos

OCTOBER 14, 2019

Shared services such as data stores and network services also fail and have a similar impact on the overall outcome. The outage resulted in the inaccessibility of the AWS Simple Storage Service (S3) within one US region. The good news is that durability is provided at 11 nines (99.999999999%) and no user data was lost.

AWS 52

AWS Technical Review Software Review Cloud 52

Netflix Tech

JUNE 25, 2021

By Gim Mahasintunan on behalf of Data Platform Engineering. Supporting a rapidly growing base of engineers of varied backgrounds using different data stores can be challenging in any organization. In this blog post, we are thrilled to share that we are open-sourcing one such tool: the Netflix Data Explorer.

Data 61

Data Metrics Microservices Tools 61

Datavail

SEPTEMBER 22, 2022

Snowflake is a cloud data warehouse platform that has recently surged in popularity. Since then, Snowflake has risen to claim 19 percent of the data warehousing market , second behind only Amazon Redshift. With so many new adopters of Snowflake, it’s no surprise that many businesses need help optimizing their data warehouse.

Data 40

Data Backup Quality Assurance Policies 40

ParkMyCloud

MARCH 12, 2019

There are a ton of great blogs that cover AWS best practices and use cases. The cloud presents many arbitrage opportunities including instance families, generations, types, and regions—but trying to do this manually is a recipe for time-consuming frustration. across multiple cloud accounts and regions in a single pane of glass.

AWS 56

AWS Serverless Backup Software Review 56

TIBCO - Connected Intelligence

JUNE 11, 2020

This blog summarizes my original post on Medium.com. In its design, Apache Pulsar addresses some of the main weaknesses of Apache Kafka with geo-replication and its cloud-native approach. Reading Time: 2 minutes. Deploy on bare metal or Kubernetes.

Open Source 26

Open Source Microservices Architecture Storage 26

Altexsoft

JULY 1, 2021

PaaS solutions support the development of virtually any type of system, including web applications, mobile applications, big data, AI, and even hardware based solutions like internet of things (IoT) devices. IBM Watson offers a range of AI tools to help manage large amounts of data. WorkSpaces is available in multiple AWS regions.

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59

Cloudera

FEBRUARY 11, 2019

The former sees growing investment in data analytics to become data-driven (45% of organizations expect to increase their spending in this area) while the latter is fueled by disruptive technology and the adoption of AI (41% of organizations name it as their game changer).

Government 57

Government Compliance Machine Learning Artificial Inteligence 57

Cloudera

NOVEMBER 5, 2020

Many organizations struggle to meet growing and variable data warehouse demands. How do you control data privacy and protect against data breaches when the data is spread across so many different systems? This is exactly what Cloudera Data Platform (CDP) provides to the Cloudera Data Warehouse.

Cloud 69

Cloud Data Virtualization Authentication 69

Instaclustr

SEPTEMBER 9, 2021

The architecture and functionality discussed in this blog is common for both Elasticsearch and OpenSearch. Data can be stored and processed across a collection of nodes within a cluster framework. Elasticsearch takes care of distributing the workload and data and manages the elasticsearch nodes to maintain cluster health.

Architecture 55

Architecture Metrics Scalability Analytics 55

Tenable

NOVEMBER 3, 2022

When our data engineering team was enlisted to work on Tenable One, we knew we needed a strong partner. While the story of Tenable One is, first and foremost, a technology story, the analytics baked into the platform would not be possible without the ability to ingest and process a wide variety of data from a suite of point tools. .

Data 98

Data AWS Storage Data Engineering 98

Instaclustr

OCTOBER 14, 2019

This blog provides a brief of things I learnt during the 4-day event, including a summary of talks I attended and presented. We have talks in the Cassandra and Observability tracks, but I’m attending (and blogging about) talks in other tracks that have interesting or challenging use cases (e.g.

Technical Review 36

Technical Review Technology Report Open Source 36

Instaclustr

OCTOBER 14, 2019

This blog provides a brief of things I learnt during the 4-day event, including a summary of talks I attended and presented. . We have talks in the Cassandra and Observability tracks, but I’m attending (and blogging about) talks in other tracks that have interesting or challenging use cases (e.g.

Technical Review 28

Technical Review Technology Report Open Source 28

Confluent

SEPTEMBER 24, 2019

After reading this blog post, you will walk away with an understanding of how load balancing works in Kafka clients, the challenges of existing load balancing protocols, and how a new approach with Incremental Cooperative Rebalancing allows large-scale deployment of clients. The Kafka Connect cluster consists of three workers here too.

Load Balancer 16

Load Balancer Software Review Groups Resources 16

Cloudera

MAY 18, 2021

Second, since IaaS deployments replicated the on-premises HDFS storage model, they resulted in the same data replication overhead in the cloud (typical 3x), something that could have mostly been avoided by leveraging modern object store. using list pricing of $0.72/hour hour using a r5d.4xlarge 4xlarge or E16 v3 instance type).

Cloud 83

Cloud Technical Review Storage Backup 83

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. As a result, alternative data integration technologies (e.g.,

Scalability 89

Scalability Technical Review Data Analytics 89

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. Supporting multiple data formats and types to enable enrichment of data assets for different use cases and finally.

Data 77

Data Analytics Government Technical Review 77

High Scalability

NOVEMBER 25, 2019

There are a couple of downsides though in case you are looking to use it to support tens of thousands of users working on hundreds of millions of files simultaneously containing petabytes of data. To help our customers manage ongoing data explosion, we have designed many of the core components over the last few years. Document store.

Architecture 21

Architecture Data Center Software Review Storage 21