Remove Data Quality Remove Database Administration Remove SQL
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5 Crucial Database Practices For Overseeing Sound Big Data Strategies

Smart Data Collective

It may seem like a considerable investment, but beefing up your defenses prevents critical data from falling into the wrong hands. Consider adding a web application firewall that prevents the injection of damaging SQL commands that will destabilize your database. More importantly, you need to cleanse your SQL server of old code.

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Top 5 Use Cases of phData’s Data Source Tool

phData

This evolved into the phData Toolkit , a collection of high-quality data applications to help you migrate, validate, optimize, and secure your data. Learn more about the phData Toolkit What is the Data Source Tool? Track Database Changes Tracking changes to the DDL of your database can be difficult.

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phData Toolkit December 2022 Update

phData

This automation includes things like SQL translation during a data platform migration (SQLMorph), making changes to your Snowflake information architecture (Tram), and checking for parity and data quality between platforms (Data Source Automation). Let’s dive in and take a deeper look at these.

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8 Best Programming Language for Data Science

Pickl AI

SQL: Mastering Data Manipulation Structured Query Language (SQL) is a language designed specifically for managing and manipulating databases. While it may not be a traditional programming language, SQL plays a crucial role in Data Science by enabling efficient querying and extraction of data from databases.

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Data Intelligence empowers informed decisions

Pickl AI

Data governance and security Like a fortress protecting its treasures, data governance, and security form the stronghold of practical Data Intelligence. Think of data governance as the rules and regulations governing the kingdom of information. It ensures data quality , integrity, and compliance.

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ACID Properties in DBMS: A Comprehensive Overview

Pickl AI

Business Trust : By adhering to ACID principles, businesses can trust their database systems to handle critical operations without compromising data quality , fostering confidence among users and stakeholders. Understanding these challenges is crucial for database administrators and developers when designing systems.