Predoole | Data Warehousing - All your data in one place

Data Warehousing is important in today’s environment as organization struggle to get all their data in one place. Having all the data in one place make it easy to explore data, co-relate various data points and thereby find hidden insight and the outcome which everyone wants “Data Driven Decisions”.

Customers are spoilt for choices and this often leads to difficulty in deciding which option to go with. The questions are unending. It can be a tough choice to decide whether to go with commercial or open source software. While customers have option of traditional on-premise data warehouse, with cloud coming in customers can also choose from various cloud options.

Snowflake

Snowflake pioneered the concept of separating the storage and compute layers allowing customers to run cost effective data warehouse on cloud. The per second billing ensures that you can scale up and down to drive maximum performance while keeping costs low.

With the inherent capability of elasticity, customers now are increasingly looking at cloud warehouses.  Cloud also gives customers faster deployment as they don’t have to invest in infrastructure to run the warehouse.

Snowflake is a modern cloud data warehouse with the capability of having both structured and semi-structured data. Snowflake’s flexible architecture allows customers to virtually separate out production and development instances. It also allows customers to securely share the data with external partners.

Predoole with its expertise in data analytics and partnership with Snowflake allows customers to implement a cloud Data Warehouse in record time. Our expertise in Data Integration and ETL technologies allows customers to bring in all relevant data sources into Snowflake for their enterprise use cases. We enable implementations on AWS, Azure and integrations with tools such as Talend, Qlik and DataRobot to gain additional value.

Snowflake

Snowflake pioneered the concept of separating the storage and compute layers allowing customers to run cost effective data warehouse on cloud. The per second billing ensures that you can scale up and down to drive maximum performance while keeping costs low.

With the inherent capability of elasticity, customers now are increasingly looking at cloud warehouses.  Cloud also gives customers faster deployment as they don’t have to invest in infrastructure to run the warehouse.

Snowflake is a modern cloud data warehouse with the capability of having both structured and semi-structured data. Snowflake’s flexible architecture allows customers to virtually separate out production and development instances. It also allows customers to securely share the data with external partners.

Predoole with its expertise in data analytics and partnership with Snowflake allows customers to implement a cloud Data Warehouse in record time. Our expertise in Data Integration and ETL technologies allows customers to bring in all relevant data sources into Snowflake for their enterprise use cases. We enable implementations on AWS, Azure and integrations with tools such as Talend, Qlik and DataRobot to gain additional value.

Other Components

Snowflake

Snowflake pioneered the concept of separating the storage and compute layers allowing customers to run cost effective data warehouse on cloud. The per second billing ensures that you can scale up and down to drive maximum performance while keeping costs low.

With the inherent capability of elasticity, customers now are increasingly looking at cloud warehouses.  Cloud also gives customers faster deployment as they don’t have to invest in infrastructure to run the warehouse.

Snowflake is a modern cloud data warehouse with the capability of having both structured and semi-structured data. Snowflake’s flexible architecture allows customers to virtually separate out production and development instances. It also allows customers to securely share the data with external partners.

Predoole with its expertise in data analytics and partnership with Snowflake allows customers to implement a cloud Data Warehouse in record time. Our expertise in Data Integration and ETL technologies allows customers to bring in all relevant data sources into Snowflake for their enterprise use cases. We enable implementations on AWS, Azure and integrations with tools such as Talend, Qlik and DataRobot to gain additional value.

ETL

ETL or Extract, Transform and Load is process of moving data from one or more sources to another (often called target) especially a Data Warehouse. In this approach data is extracted from source, transformation is then done in the ETL server and once transformation is done then the data is loaded in the target system. This approach requires a staging area which is the ETL server.

Predoole helps customers with data integration using tools such as SSIS, Talend.

ELT

Extract/load/transform (ELT) is the process of extracting data from one or multiple sources and loading it into a target data warehouse. Instead of transforming the data before it is written, ELT takes advantage of the target system to do the data transformation. This approach requires fewer remote sources than other techniques because it needs only raw and unprepared data.

ELT is an alternative to the traditional extract/transform/load (ETL) process. It pushes the transformation component of the process to the target database for better performance. This capability is valuable for handling the huge data sets required for business intelligence (BI) and big data analytics.

Predoole helps customers with data integration using tools such as Azure Data Factory, Matillion.

Snowflake

Snowflake pioneered the concept of separating the storage and compute layers allowing customers to run cost effective data warehouse on cloud. The per second billing ensures that you can scale up and down to drive maximum performance while keeping costs low.

With the inherent capability of elasticity, customers now are increasingly looking at cloud warehouses.  Cloud also gives customers faster deployment as they don’t have to invest in infrastructure to run the warehouse.

Snowflake is a modern cloud data warehouse with the capability of having both structured and semi-structured data. Snowflake’s flexible architecture allows customers to virtually separate out production and development instances. It also allows customers to securely share the data with external partners.

Predoole with its expertise in data analytics and partnership with Snowflake allows customers to implement a cloud Data Warehouse in record time. Our expertise in Data Integration and ETL technologies allows customers to bring in all relevant data sources into Snowflake for their enterprise use cases. We enable implementations on AWS, Azure and integrations with tools such as Talend, Qlik and DataRobot to gain additional value.

Snowflake

Snowflake pioneered the concept of separating the storage and compute layers allowing customers to run cost effective data warehouse on cloud. The per second billing ensures that you can scale up and down to drive maximum performance while keeping costs low.

With the inherent capability of elasticity, customers now are increasingly looking at cloud warehouses.  Cloud also gives customers faster deployment as they don’t have to invest in infrastructure to run the warehouse.

Snowflake is a modern cloud data warehouse with the capability of having both structured and semi-structured data. Snowflake’s flexible architecture allows customers to virtually separate out production and development instances. It also allows customers to securely share the data with external partners.

Predoole with its expertise in data analytics and partnership with Snowflake allows customers to implement a cloud Data Warehouse in record time. Our expertise in Data Integration and ETL technologies allows customers to bring in all relevant data sources into Snowflake for their enterprise use cases. We enable implementations on AWS, Azure and integrations with tools such as Talend, Qlik and DataRobot to gain additional value.

Data Pipeline

Data Pipeline is often used interchangeably with ELT.  Data pipeline is concept of moving data from one source to other (not necessarily a data warehouse). When we talk of data pipeline the data may be transformed or it may be just replicated at target as it is. When there is transformation required then ETL becomes a part of data pipeline.

When data pipeline involves just data replication there are two terms which are often used

CDC – Change Data Capture is technology which does real time replication. CDC is often used for use cases which require real time streaming use cases or critical use cases such as having a business continuity solution like DR.

Batch Mode – Batch processing involves replicating data at certain periodicity. CDC tools can be expensive and when the use case doesn’t need real time data then batch mode works best.

Predoole helps customers with data integration using tools such as Qlik Replicate. ADF, Matillion, Talend.

Data Warehouse Automation

Data Warehouse automation is about the design, deployment, and operation of agile data warehouses, improving time-efficiency of data warehouse projects by reducing the time and resources necessary to implement a data warehouse, data mart, or data hub. It eliminates mundane, error-prone data warehouse tasks that you would normally have to do yourself, by automating data modelling, ETL generation and production workflow. The time and cost of analytics projects based on cloud platforms, such as Amazon Redshift, Azure SQL Data Warehouse and Snowflake, is also reduced. Users can dynamically adjust data sources and models in response to changing business requirements to quickly load and iterate their data warehouses. 

Predoole helps customers with data integration using tools such as Qlik Compose (previously Attunity Compose).

Snowflake

Snowflake pioneered the concept of separating the storage and compute layers allowing customers to run cost effective data warehouse on cloud. The per second billing ensures that you can scale up and down to drive maximum performance while keeping costs low.

With the inherent capability of elasticity, customers now are increasingly looking at cloud warehouses.  Cloud also gives customers faster deployment as they don’t have to invest in infrastructure to run the warehouse.

Snowflake is a modern cloud data warehouse with the capability of having both structured and semi-structured data. Snowflake’s flexible architecture allows customers to virtually separate out production and development instances. It also allows customers to securely share the data with external partners.

Predoole with its expertise in data analytics and partnership with Snowflake allows customers to implement a cloud Data Warehouse in record time. Our expertise in Data Integration and ETL technologies allows customers to bring in all relevant data sources into Snowflake for their enterprise use cases. We enable implementations on AWS, Azure and integrations with tools such as Talend, Qlik and DataRobot to gain additional value.

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