Build a Teradata Data Warehouse
Why have a Teradata Data Warehouse?
A Teradata Data Warehouse is the perfect solution for integrating large volumes of data from multiple sources and subjecting it to analytics with your preferred BI tools. Teradata Database is a massively parallel relational database management system (RDBMS) and has been created for enterprise scale data warehousing and analytical processing applications. Teradata automates data distribution across multiple nodes in a cluster and allows queries to be executed in parallel. Teradata Database also enables a ‘Single Version of Business’ with a single data store accessible on a range of client architectures. You could have multiple data deployments with just a single data store and a single version of the company’s data, whether these deployments are on-premise, on Cloud or a hybrid implementation.
Oracle to Teradata Migration with BryteFlow
Teradata Data Migration Tool: BryteFlow
Migrating to Teradata is easy and automated with BryteFlow. It is a replication tool that extracts, loads and transforms data in real-time on the Teradata Data Warehouse. BryteFlow delivers ready-to-use data to Teradata EDW without coding and in real-time using Change Data Capture. It replicates data from legacy databases like SAP, Oracle, SQL Server, applications, and other sources to Teradata in real-time using log-based CDC (Change Data Capture). It automates every process including data extraction, partitioning, masking, schema creation, DDL, table creation, SCD Type2 history and more. Oracle vs Teradata (How to Migrate in 5 Easy Steps)
Migration to Teradata Highlights
- BryteFlow Ingest’s log-based CDC to Teradata does not impact source systems.
- Ingests large volumes of data for initial full refresh with multi-threaded parallel loading and partitioning.
- Replicates incremental data to Teradata using automated CDC, with best practices and optimization baked in.
- Migrates data to Teradata with zero coding for processes including extraction, merging, masking or type 2 history.
- BryteFlow provides automated data reconciliation on Teradata with row counts and columns checksum.
- Loads data to Teradata in minutes with high throughput – approx. 1,000,000 rows in 30 seconds.
- BryteFlow supports both -cloud and on-premise Teradata installations.
- Provides Automated Catchup for high availability and resilience with in case of network failure.
Teradata Migration with
BryteFlow provides fast, automated CDC to Teradata in
real-time. Here’s what you can do with BryteFlow in your Teradata Data Warehouse. Get a Free Trial of BryteFlow
Change Data Capture data to Teradata with history intact
BryteFlow uses log-based CDC to replicate data to Teradata in real-time, with a history of every transaction (optional). BryteFlow Ingest syncs data on Teradata in real-time with source capturing and merging deltas automatically with existing data (automates inserts, updates and deletes). Change Data Capture and why automate it
Data on Teradata is ready to use for Analytics or Machine Learning
BryteFlow delivers data to Teradata that can be immediately used for analytics or machine learning, through a range of built-in automated data conversions.
Loads data to Teradata with very high throughput
BryteFlow Ingest moves data to the Teradata data warehouse with a very high throughput of approx. 1,000,000 rows in 30 seconds. Oracle to Teradata Migration with BryteFlow
Automated DDL and high performance with best practices baked in
BryteFlow automates every process including DDL (Data Definition Language), schema creation, masking, partitioning and data extraction etc. to provide a fully automated data pipeline
Automated Database Schema Management
BryteFlow manages schema changes automatically. It can add columns to tables, add new tables if needed, and even change datatypes of columns.
Supports Teradata installations On-premise and in the Cloud
BryteFlow can replicate your data to the Teradata database in real-time, using built-in best practices and optimization, whether it is a Teradata on-premise database or a Cloud implementation.
Migrate data to Teradata with automated data reconciliation
BryteFlow provides automated data reconciliation with BryteFlow TruData. It verifies data using row counts and columns checksum, and provides alerts and notifications in case of incomplete or missing data.
Initial full refreshes to Teradata are fast with BryteFlow XL Ingest
in case of huge data volumes, BryteFlow XL Ingest performs the initial full ingest using multi-threaded parallel loading, smart partitioning and compression to transfer petabytes of data rapidly. This is followed by BryteFlow Ingest’s loading of incremental data and deltas using CDC to sync data with changes at source.
Replicate to Teradata with a user-friendly, point and click UI
BryteFlow is easy to deploy and use with a user-friendly point-and-click UI. You can deploy BryteFlow in a couple of hours and get delivery of data in just 2 weeks. Oracle to Teradata Migration with BryteFlow
Dashboard to monitor data ingestion instances
You can monitor your data ingestion statuses with the BryteFlow ControlRoom. View the BryteFlow replication instances, displaying latency, operation start time, operation end time, volume of data ingested etc.
Get built-in resiliency for your Teradata migration
BryteFlow has an automated network catch-up feature to deal with network failures, power outages, and other hindrances. It resumes operations from the point it stopped, when normal conditions are restored, so the Teradata migration can continue smoothly.
Oracle vs Teradata (How to Migrate in 5 Easy Steps)