All your Corporate reporting and dashboards should be using the Data Warehouse as their source of data, especially if they are related to performance or financial incentives. If your employees’ performance is being measured on spreadsheets and not from data in the Data Warehouse – no one will care what is in the Data Warehouse.
Almost half of companies report their data management and warehouse processes were being done manually, consuming valuable time, resources, and money. If loading the data is slow, difficult and delayed – no one will use the Data Warehouse. SKALE UP and automate these processes.
A Data Warehouse is also not a dumping ground. Nearly half (48%) of the data migrated into Data Warehouses requires cleaning before it could be useful. This is more than four hours of time lost per knowledge worker each week to work on missing data, duplicate data, or data that needed reformatting. SKALE UP – a robust Data Governance program will quickly and efficiently curate data for the Data Warehouse.
The concept of Data Lakes emerged in response to what was seen as the shortcomings of Data Warehouses such as:
- Difficulty exploiting and analyzing unstructured data
- Lack of real-time data ingestion and the lag between data extraction from sources
- Challenges in the environment to enable an investigative ‘sandbox’ in order to discover correlations between the heterogeneous, raw data
Comparing Data Lake and Data Warehouse
Raw data is loaded into the Data Lake without transformation, unstructured and structured data can be experimented upon by Data Scientists to find new insights.
The next evolution is the Data Lakehouse – combining the best of the Data Warehouse and Data Lake. Properly structured Lakehouse data is the source for official KPI’s, reports and dashboards for the entire Enterprise.
proSkalers can rapidly transform your Data Warehouse and Data Lake to a Data Lakehouse to scale your reporting and Data Science capabilities. Reduce the drain on resources by automating Data Pipelines, Data Preparation and corporate reporting.
Frequently Asked Questions about Cloud
Cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.
Cloud computing allows companies to rent the required infrastructure they need to operate instead of owning it. This allows for companies to cut upfront cost and only pay for the storage and analytics they use.
The cloud provides a number of IT services such as servers, databases, software, virtual storage, and networking, among others. In simple terms, Cloud Computing is defined as a virtual platform that allows you to store and access your data over the internet without any limitations.
There are also 3 main types of cloud computing services: Infrastructure-as-a-Service (IaaS), Platforms-as-a-Service (PaaS), and Software-as-a-Service (SaaS).
The main benefits include a cost-saving pay as you go structure, a flexible structure that can grow with you, and access to a multitude of options for infrastructure.
While cloud computing can increase flexibility and cost efficacy, you rely on an network-based system, so if there are local or datacenter outages, companies may temporarily lose access to the cloud.
- Unlimited storage capacity
- Cost Savings
- On-Demand Self-service
- Offers Resilient Computing
- Fast and effective virtualization
- Provide you low-cost software
- Offers advanced online security
- Location and Device Independence
- Always available, and scales automatically to adjust to demand
- Allows pay-per-use
- Web-based control & interfaces
- API Access available.
- Performance Can Vary
- Security Threat in the Cloud
- Internet Connectivity – Good Internet connectivity is a must in cloud computing.
Cloud migration refers to transferring your data infrastructure to the cloud.
The process of moving digital business operations into the cloud.
The cloud allows for faster delivery times, creates room for innovation, lowers total cost ownership (TCO), and increases the flexibility and agility of your infrastructure.
The main challenges seen when migrating to the cloud are migration complexity, cloud management, rebuilding applications and ease of modernizing from legacy applications.
The cloud migration process has three main steps: strategy building, research and assessment, and cloud migration.
There are three types of cloud migration: Re-host, which moves applications from on-site to the cloud; Re-platform, which moves your applications to new operating systems; and Re-factor, which updates current components to fit company needs.
The main tools used in cloud migration are Amazon Web Service (AWS), Microsoft Azure, and Google Cloud.
For AWS – AWS Migration Services. AES migration services, CloudEndure, TSO Logic, AWS Migration Acceleration Program.
For Azure – Azure Database Migration Service, Movere for Assess servers, Azure Data Box to Migrate offline data.
For GCP – Google Cloud Storage Transfer Service, Google BigQuery Data Transfer Service, Cloud Sprint.
Cloud service providers are third parties that help companies facilitate and manage cloud computing services.
The main reasons for using a cloud provider are security in your infrastructure, eliminating costs, and accessibility to a variety of platforms and software.
Using a cloud provider is a helpful way to access computing services that you would otherwise have to provide on your own, such as Infrastructure.
To pick a cloud provider, it is important to evaluate key factors like needs, business goals, current infrastructure, and requirements. Then, when picking a provider, ensure their infrastructure meets your requirements and can support your goals.
Check cloud provider Certifications & Standards, Technologies & Service Roadmap, Data Security, Data Governance and Business policies, Service Dependencies & Partnerships, Reliability & Performance.
Cloud infrastructure is the components required for cloud computing, like storage hardware and network resources.
Using abstraction tools like virtualization, cloud infrastructure separates information and resources from hardware and brings them to the cloud.
It includes hardware, abstracted resources, storage, and network resources.
The components of cloud infrastructure are hardware, virtualization, network, and storage.
Cloud transformation is the process of migrating infrastructure from hardware to the cloud.
Cloud transformation increases efficiency, lowers cost, and improves scalability.
The issues companies most often have to overcome with cloud computing are compliance with company or government regulations, the complexity of the migration process, lack of expertise with evolving technology, and increased cybersecurity measures.