Loading and Synchronizing Data
You might have more than one data source spread through your company, like data from sales department, marketing and accounting. In order to converge data into business value, you need to know and use all data available within your organization. Therefore, the process of extracting, transforming and loading data into a data warehouse to be queried, is the most critical and laborious one, because making data-driven decisions really depends on it.
Pointing out some reasons for such bold statement, first one is the ETL time consuming and painful process, but necessary to be deployed if you are using these typical data warehouses. As you probably know, ETL sucks up your team availability and your money, because you must use a separate tool to do the whole process. The worst part: if anything changes in your data source, you must start a new process all over again, making you invest a lot of money and time on ETL scripts. Your workload is deviated to technical tasks instead of implementing more innovation and business insights using data.
SlicingDice has powerful and automatic data loading capabilities
Unlike other data warehouses, that requires you to use different suppliers to load and transform data, The All-in-One Data Warehouse provided by SlicingDice has its own ETL for you to leverage, which is its Built-in Data Loading and Sync module. By using it, you can load data from more than 50 different sources, like other databases, as well as from other data platforms. It is simple enough to efficiently centralize your data, allowing you to just insert and query it, freeing up IT personnel to perform more critical tasks instead of ETL.
As soon as you add your sources and connect it to SlicingDice, everything will be automatically updated and synchronized. Because of that, if something changes on your data sources, you don't need to create new scripts and start new loading pipelines. If you already have or use some ETL tool you trust and are satisfied with, that's okay. The use of SlicingDice's Data Loading & Sync module it’s not mandatory and you will be happy enough by simply using SlicingDice's database capabilities.
Check the Documentation
Check the data sources can we load & sync
Below you can see most of the data sources we can easily make full load and automatic incremental updates.
Data stored on other databases
SlicingDice can fully load and automatically make incremental updates from databases like: Amazon Redshift, Google BigQuery, Oracle, MongoDB, Postgres, MySQL and many more.
ERP, CRM and Financial systems
SlicingDice can also load and make incremental updates directly from ERP and CRM systems like: Salesforce, NetSuite, Pipedrive, Stripe, Recurly, Zuora and others.
Data collection platforms
If you use Segment, MixPanel or mParticle to collect data about your customers/users, you can easily concentrate it all on SlicingDice.
Marketing and Analytics platforms
SlicingDice makes it easy for you to load all your marketing and analytics data from platforms like: Google AdWords, Facebook Ads, Google Analytics, HubSpot and much more.
Customer Support and Communication platforms
SlicingDice can also fully load and automatically make incremental updates from customer support and communication platforms like: Zendesk, Intercom, Twilio and much more.
Log collection and files
SlicingDice has official plug-in support for CollectD, FluentD, Logstash, StatsD and can also fully load and automatically make incremental updates from files stored on cloud platforms like Amazon S3.
Effortless data integration.
Connect to 150+ different sources with our load & sync module. Set up automatic data ingestion and never touch it again.
Apply data transformations while loading data.
We have schema flexibility, but you can still transform data to fit your needs instantly when loading it.
No ETL script needed. Use just the standard SQL.
A simple query to detect or filter data for ingestion is the most you’ll have to do. Optionally, search per table/column, without using SQL.
Scale with your needs.
No configuring, loading job monitoring or tuning for scaling. Simply insert as much data as you need and let the system handle it for you.