We are your partner around Snowflake

With the Snowflake Data Cloud, you manage your data centrally in one place. We are happy to support and advise you on Snowflake.

Realize the full potential of your data - with the Snowflake Data Cloud

Cloud Data Warehouse

Snowflake is particularly suitable for the migration of a classic data warehouse to the cloud. As a specialized analytical database designed specifically for the cloud, Snowflake offers excellent performance, scalability and functionality especially in the analytical environment. Its dedicated development as a native cloud solution leverages benefits such as elasticity, transparent and usage-based costs, and high availability across regional boundaries directly from the underlying cloud environment (Azure, AWS, or Google).

Data Lakehouse

The demands on our analytical environments have been increasing for years. Not only is the amount of data growing rapidly, but the type of information required is also changing due to additional requirements from the business departments. While in the past mostly structured data from internal data sources was the basis of the analyses, today mostly semi-structured and unstructured data from numerous different sources, some of which cannot be verified, are also to be integrated. Snowflake offers a complete platform for all data types and enables transparent access to a wide variety of formats and sources. These can be structured virtually and can be analyzed transparently via classic SQL queries.

Marketplace for the data

Snowflake's comprehensive data sharing functionality also makes it suitable for implementing an architecture based on the principles of the data mesh concept. Each department manages its own data and ensures the security and governance of the information. Using the intelligent data sharing function, information can be transparently made available to other areas as so-called "data products". The data is not duplicated and stored redundantly, but rather defined as an accessible data view with appropriate security. The data is processed in the consuming area.

Determine needs based on past and future requirements.

Together with you, we collect ideas for future use in Data Warehouse / Big Data workshops, define the requirements and design a solution architecture.

Build a functional cloud DWH platform.

We design the platform for you, implement it and migrate your data from the existing data warehouse if required. We also help you with the connection and conversion of your other solutions such as ETL tools, BI front ends or self-developed applications. If desired, we implement an MVP (Minimum Viable Product) for you on this basis in order to get to know the new functionality and make the benefits transparent.

Modeling of a data lakehouse, data mesh or data fabric architecture

After the technical deployment, we move on to the business implementation. We model the future solution based on the appropriate architecture blueprints, taking into account your organizational requirements and our best practices.

Implementation of a modern, cloud-based overall solution

On this basis, we work with you to design the future data model, help design and create data integration processes, and support you in implementing meaningful dashboards, analyses, and standard reports. If required, we complement the solution with a comprehensive governance environment with central metadata, data catalog and data lineage functionality.

Ongoing monitoring of the project

Whether jointly developed in workshops, in coaching or as implementation partner; whether realization by you, us or third parties. We accompany you throughout the entire project lifecycle.

What is the Snowflake Data Cloud?

Snowflake is a cloud-based software-as-a-service provider that manages key data workloads in a complete platform. This includes data warehousing, data lakes, and data science, among others. As a "single source of truth", it brings together all data and data sources across the board and stores them in one cloud - the Snowflake Data Cloud

  • Snowflake's Data Cloud breaks down the barriers of data isolation by enabling organizations to connect, share and leverage their data across and among each other. It allows organizations struggling to manage disparate infrastructure with heterogeneous data silos to focus on gaining insights from their entire data set.

Advantages of the Snowflake data plat form

  • Serverless Cloud Architecture
    Elasticity, transparent and usage-based costs, and high availability across regional boundaries are the benefits of this, leveraged directly from the underlying cloud environment (Azure, AWS or Google).

  • Separation of data storage and processing
    The data blocks of the tables are persisted in the object store of the respective cloud provider, while the processing of write and read operations takes place independently in so-called compute nodes. The separation of storage and compute nodes, any number of which can access the data simultaneously, opens up a wide range of possibilities, from intelligent workload management to dedicated allocation of resources and usage-based billing.

  • High-performance, scalable, analytical database.
    Snowflake is an analytical database whose architecture is a hybrid blend of traditional shared-disk and scalable shared-nothing database. Similar to shared-disk architectures, Snowflake uses a central data repository for persistent storage of data. The data blocks are intelligently partitioned and shared by all compute nodes in the platform. As a result, Snowflake provides excellent performance, scalability, and analytical functionality.

  • Different data formats
    Snowflake provides a data platform for a wide variety of data types from relational (classic databases) to semi-structured (XML, JSON, Avro, Parquet, etc.) to unstructured and allows transparent access to them. These can be virtually structured using Variant Data Type, File Format Definition and View Definitions and can be transparently analyzed using classic SQL queries.

  • Data Sharing
    All data stored in Snowflake can be transparently made available to other Snowflake users - even across company boundaries - via data sharing. Data that is to be shared is released accordingly and made available to other users worldwide, taking security and governance guidelines into account. The data is not duplicated and stored redundantly, but consumed via an accessible data view. The (read-only) processing of the data is carried out via the consumer's compute nodes, so that no performance impact or costs are incurred by the owner of the data as a result of the use of the data.

Feel free to contact us directly about Snowflake!

Marc Bastien
Software Architect TIMETOACT Software & Consulting GmbH
Martin Clement
Teamleiter Analytics TIMETOACT Software & Consulting GmbH

Or contact us here.

* required

We use the information you send to us only to contact you in context of your request. For this purpose, we store your data in our CRM for up to 6 months. You can find all further information in our Privacy Policy.

Solve captcha, please!

captcha image
Unternehmen

Who we are

The synaigy team is as diverse as digitalization itself. Our older members of staff have been on the digitalization journey for some time and contribute a wealth of experience from various sectors and specialist areas, while our digital natives enrich the team with their creativity, innovative approaches and an affinity with technology that opens up completely new perspectives.

Kompetenz 7/18/23

Digital Strategy & IT Strategy

Support your business goals in the best possible way ►Digital strategy & IT strategy ✅ We will be happy to advise you.

Junger Business Mann der seinen Erfolg feiert
Event

We are 2024 Google Cloud Sales Partner of the Year - Alps!

We are proud to announce that we have won the prestigious 2024 Google Cloud Sales Partner of the Year - Alps Award!

Kompetenz 6/2/20

Hybrid Cloud

Companies can tailor their process support needs by using existing in-house IT landscapes in combination with different cloud enterprise solutions and cloud infrastructure services. We would be happy to advise you on your options in the area of hybrid cloud IT.

Wissen 5/2/24

Unlock the Potential of Data Culture in Your Organization

Are you ready to revolutionize your organization's potential by unleashing the power of data culture? Imagine a workplace where every decision is backed by insights, every strategy informed by data, and every employee equipped to navigate the digital landscape with confidence. This is the transformative impact of cultivating a robust data culture within your enterprise.

CLOUDPILOTS, Google Workspace, G Suite, Google Cloud, GCP, MeisterTask, MindMeister, Freshworks, Freshdesk, Freshsales, Freshservice, Looker, VMware Engine
Produkt

Google Analytics

Google Analytics comprehensively analyzes website data with free tools in one place. Understand your customers better with three simple steps.

Headerbild zu Talend Real-Time Big Data Platform
Technologie

Talend Real-Time Big Data Platform

Talend Big Data Platform simplifies complex integrations so you can successfully use Big Data with Apache Spark, Databricks, AWS, IBM Watson, Microsoft Azure, Snowflake, Google Cloud Platform and NoSQL.

News 2/1/23

We are offering cloud-based SAP solutions consulting now!

TIMETOACT GROUP expands into cloud-based SAP solutions consulting with the acquisition of WCA Walldorf Consulting and target Software Solution

Technologie 10/25/24

Advice around Mendix

Develop your solutions quickly and independently in low-code with the leading technology vendor. Use the Mendix toolkit and model your applications with visual elements.

Technologie 1/7/22

Advice around Mendix

Develop your solutions quickly and independently in low-code with the leading technology vendor. Use the Mendix toolkit and model your applications with visual elements.

Atlassian Data Center Competence Center - Expertise & Untertützung durch catworkx für Ihre Atlassian-Infrastruktur
Kompetenz 10/27/22

Data Center Competence Center

Comprehensive Atlassian Data Center expertise, since the launch in 2014: catworkx supports you in all aspects of your Atlassian infrastructure.

Headerbild zu Lizenzanalyse und Lizenzberatung.
Service

License analysis and license consulting

Only well-founded information can serve as a basis for meaningful decisions or budgeting. Therefore, we are happy to offer you an inventory of your licenses and our experts will also analyze your infrastructure.

Unternehmen

How we work

We think of ourselves as a tour guide for our clients. In this role we want to ensure that the digitalization adventure is a long-term success, because we believe that digitalization is not a one-off event, but a longer journey in a constantly changing world where you need to keep adapting.

Technologie Übersicht 7/13/20

OneLogin

OneLogin is one of the leading identity management and single sign-on (SSO) distributors. Companies of all sizes use the company's solutions to secure business data and increase the efficiency of IT administrators and end users. As a Certified Partner, TIMETOACT's experts can advise you on all aspects of using OneLogin's products.

Blog 10/31/23

5 Inconvenient Questions when hiring an AI company

This article discusses five questions you should ask when buying an AI. These questions are inconvenient for providers of AI products, but they are necessary to ensure that you are getting the best product for your needs. The article also discusses the importance of testing the AI system on your own data to see how it performs.

Wissen 4/14/23

General Data Protection Regulation of idea management

Walldorf-based dacuro GmbH provides the external data protection officer for companies, helps with the fulfillment of documentation obligations and advises on all aspects of data protection. Fulfilling the requirements of the GDPR without blocking everyday life is the claim of dacuro GmbH. The team of lawyers and IT specialists provides support for all GDPR challenges, whether they are of a legal or technical nature.

Blog 11/10/23

Part 1: Data Analysis with ChatGPT

In this new blog series we will give you an overview of how to analyze and visualize data, create code manually and how to make ChatGPT work effectively. Part 1 deals with the following: In the data-driven era, businesses and organizations are constantly seeking ways to extract meaningful insights from their data. One powerful tool that can facilitate this process is ChatGPT, a state-of-the-art natural language processing model developed by OpenAI. In Part 1 pf this blog, we'll explore the proper usage of data analysis with ChatGPT and how it can help you make the most of your data.

Blog 7/22/24

So You are Building an AI Assistant?

So you are building an AI assistant for the business? This is a popular topic in the companies these days. Everybody seems to be doing that. While running AI Research in the last months, I have discovered that many companies in the USA and Europe are building some sort of AI assistant these days, mostly around enterprise workflow automation and knowledge bases. There are common patterns in how such projects work most of the time. So let me tell you a story...

Headerbild zu Operationalisierung von Data Science (MLOps)
Service

Operationalization of Data Science (MLOps)

Data and Artificial Intelligence (AI) can support almost any business process based on facts. Many companies are in the phase of professional assessment of the algorithms and technical testing of the respective technologies.

Partner

Partner International

Bleiben Sie mit dem TIMETOACT GROUP Newsletter auf dem Laufenden!