Teradata messages pdf

Interactive shell environment with a built-in command line. Kubernetes add-on for managing Google Cloud resources. Tools for monitoring, controlling, and optimizing your costs. Tools for easily managing performance, security, and cost. Service catalog for admins managing internal enterprise solutions.

Open source tool to provision Google Cloud resources with declarative configuration files. Media and Gaming. Game server management service running on Google Kubernetes Engine.

Open source render manager for visual effects and animation. Convert video files and package them for optimized delivery. App migration to the cloud for low-cost refresh cycles. Data import service for scheduling and moving data into BigQuery.

Reference templates for Deployment Manager and Terraform. Components for migrating VMs and physical servers to Compute Engine. Storage server for moving large volumes of data to Google Cloud.

Data transfers from online and on-premises sources to Cloud Storage. Migrate and run your VMware workloads natively on Google Cloud. Security policies and defense against web and DDoS attacks. Content delivery network for serving web and video content. Domain name system for reliable and low-latency name lookups. Service for distributing traffic across applications and regions. NAT service for giving private instances internet access.

Connectivity options for VPN, peering, and enterprise needs. Connectivity management to help simplify and scale networks. Network monitoring, verification, and optimization platform. Cloud network options based on performance, availability, and cost. VPC flow logs for network monitoring, forensics, and security. Google Cloud audit, platform, and application logs management. Infrastructure and application health with rich metrics. Application error identification and analysis. GKE app development and troubleshooting.

Tracing system collecting latency data from applications. CPU and heap profiler for analyzing application performance. Real-time application state inspection and in-production debugging. Tools for easily optimizing performance, security, and cost. Permissions management system for Google Cloud resources. Compliance and security controls for sensitive workloads. Manage encryption keys on Google Cloud. Encrypt data in use with Confidential VMs. Platform for defending against threats to your Google Cloud assets.

Sensitive data inspection, classification, and redaction platform. Managed Service for Microsoft Active Directory. Cloud provider visibility through near real-time logs.

Two-factor authentication device for user account protection. Store API keys, passwords, certificates, and other sensitive data. Zero trust solution for secure application and resource access. Platform for creating functions that respond to cloud events. Workflow orchestration for serverless products and API services. Cloud-based storage services for your business. File storage that is highly scalable and secure. Block storage for virtual machine instances running on Google Cloud. Object storage for storing and serving user-generated content.

Block storage that is locally attached for high-performance needs. Data archive that offers online access speed at ultra low cost. Contact us today to get a quote. Request a quote. Google Cloud Pricing overview. Pay only for what you use with no lock-in. Get pricing details for individual products.

Related Products Google Workspace. Get started for free. Self-service Resources Quickstarts. View short tutorials to help you get started. Stay in the know and become an Innovator. Prepare and register for certifications. Expert help and training Consulting. Partner with our experts on cloud projects. Enroll in on-demand or classroom training. Partners and third-party tools Google Cloud partners. Explore benefits of working with a partner. Join the Partner Advantage program.

Deploy ready-to-go solutions in a few clicks. More ways to get started. Migrating data warehouses to BigQuery. Migrating from Netezza. Migrating from Redshift. Migrating from Teradata. Migrating from Snowflake. The series that discusses specifics of transitioning from Teradata consists of the following parts: Schema and data transfer quickstart Query translation overview Query translation quickstart SQL translation reference this document For an overview of transitioning from an on-premises data warehouse to BigQuery on Google Cloud, see the series that begins with Migrating data warehouses to BigQuery: Introduction and overview Data types This section shows equivalents between data types in Teradata and in BigQuery.

Teradata allows you to insert values that have higher precision and rounds the output; however, it keeps the high precision in calculations. This may lead to unexpected rounding behavior compared to the ANSI standard.

Or make sure that you convert time zone information to UTC before exporting. Teradata type formatting Teradata SQL uses a set of default formats for displaying expressions and column data, and for conversions between data types. However, the output format does always show the UTC timezone.

Internally, BigQuery does not have a timezone. Note the following details on differences in the ISO format. Teradata supports arithmetic operators for date types. Not used in BigQuery. Query syntax This section addresses differences in query syntax between Teradata and BigQuery. BigQuery does not use the SEL abbreviation. In BigQuery, columns cannot reference the output of other columns defined within the same select list.

Prefer moving a subquery into a WITH clause. See Comparison operators. BigQuery is always case specific when comparing strings. Such constructs are sometimes used to query date or integer ranges. BigQuery prevents users from inadvertently creating large cross joins. This lets BigQuery parallelize queries. Type conversion and casting BigQuery has fewer but wider data types than Teradata, which requires BigQuery to be stricter in casting. This example returns CAST This example returns 48 See also Comparison operators and column formats.

Aggregate functions The following table maps common Teradata aggregate, statistical aggregate, and approximate aggregate functions to their BigQuery equivalents. NVP Custom user-defined function. The default delimiter is a space character. The default delimiter is a comma. Note: In BigQuery, omitting column names in the INSERT statement only works if values for all columns in the target table are included in ascending order based on their ordinal positions.

In BigQuery, this is not recommended due to the implicit transaction boundary between statements. You can do this with either a query operation or a copy operation. See the Temporary tables section. See the Rollback section. See the Teradata type formatting section. BigQuery always uses UTF-8 encoding. Creates a new view only if the view does not currently exist in the specified dataset.

Indexing for performance Because it's a column-oriented database with query and storage optimization, BigQuery doesn't need explicit indexes. Variable declaration and assignment BigQuery variables are valid during the lifetime of the script.

For details, see Consistency guarantees elsewhere in this document. BigQuery always uses Snapshot Isolation. Multi-statement and multi-line SQL statements Teradata supports transactions sessions , and therefore supports statements separated by semicolons that are consistently executed together.

Error codes and messages Teradata error codes and BigQuery error codes are different. For information about how to handle errors in Scripting, see the sections that follow. Consistency guarantees and transaction isolation Both Teradata and BigQuery are atomic—that is, ACID-compliant on a per-mutation level across many rows.

Transactions Teradata provides either Read Uncommitted allowing dirty reads or Serializable transaction isolation level when running in session mode instead of auto-commit mode. Database limits Always check the BigQuery public documentation for the latest quotas and limits. Maximum number of concurrent sessions per parsing engine PE concurrent queries can be raised with a slot reservation , concurrent API requests per user.

Maximum number of concurrent fast loads 30 default 5 No concurrency limit; jobs are queued. Date values are represented as integers. BigQuery does not use the ANY logical predicate. When comparing strings for equality, Teradata might ignore trailing whitespaces, while BigQuery considers them part of the string. BigQuery prevents users from using subqueries, correlated subqueries, or aggregations in join predicates. Casting a character column in Teradata is sometimes used as a non-standard and non-optimal way to create a padded substring.

Teradata performs many more implicit type conversions and rounding than BigQuery, which is generally stricter and enforces ANSI standards. This example returns Floating point and numeric data types can require special rounding rules when applied with formats such as currencies. DATE - k. Replacing the contents of a table with query output is the equivalent of a transaction. RAISE message. Exception handlers that trigger for certain error conditions are not used by BigQuery.

We must never book or process a transaction or payment, including recognizing orders and recognizing revenue, without the full and appropriate underlying documentation. Falsifying, forging, or back-dating books, records, orders, contracts, approvals, invoices, acceptances, or any documents that may be used in connection with revenue recognition or other proper accounting treatment is always wrong and will not be tolerated.

Refusing to cooperate, offering misleading information, or affirmatively interfering with a review, audit, or investigation will result in discipline.

Properly maintaining corporate records after they are created also is very important. If you are unsure about what records you need to maintain and for how long, please review our Record Retention Policy and make certain you follow the record retention schedule for your area or for the types of documents with which you work.

Also keep in mind in the event of actual or threatened legal proceedings or government investigations, a Legal Hold might be placed on certain documents and. You should not expect privacy beyond that required by applicable laws when using email, the Internet, or other forms of electronic communications on Teradata, customer, or business partner computers or networks.

Teradata expects and requires each of us to be respectful of the conditions and limitations that apply to use of Teradata resources and the resources of its customers and business partners. Insider Trading. We regularly have access to information that others may not have about Teradata and the companies with which we conduct or may propose to conduct business. Insider trading is the illegal act of buying, selling, or otherwise trading in securities while in the possession of material non-public information about Teradata, its customers, its business partners, or others with which Teradata has or is considering a business relationship.