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Discover how AI data analytics tools assist data engineers in seven key ways, including automating routine tasks and supercharging data prep and ETL processes.
Explore top AI machine learning strategies for analytics success. From predictive modeling to explainable AI, unlock key insights for your projects.
It’s a smart idea to thoughtfully consider whether to build or buy an analytics application. Use this handy decision tree.
Tracking your organization’s progress and monitoring KPIs is a key aspect of your business intelligence tools. There are multiple ways to track your success metrics based on your needs and the time frame you’re seeking to monitor. Dashboards offer a…
Terms like databases, analytics, and statistics are ones that most of us associate exclusively with the professional world. However, data analysis isn’t something that’s only meant for data scientists. In reality, most of us exploit the ability to analyze, search,…
About sys.tables About sys.columns About sys.types In SQL Server, details regarding a specific table column (e.g., column name, column id, column data type, column constraints) can be retrieved by joining system tables such as sys.tables, sys.columns, and sys.types. Query 1:…
It’s a fact that today’s organizations need data to thrive and expand. No matter the industry or field, understanding an ecosystem, stakeholders, and clients can help companies make better decisions, act more decisively, and cut down on resource waste. There…
Natural language processing (NLP) and search-driven analytics are just a few of the new technologies companies are using to connect their most potent business minds with the right data. To learn how to harness natural language understanding to deliver business…
General Guidelines Selecting a Primary Key Combining Natural and Surrogate An Example As those of you who watched my recent webinar Data Modeling Fundamentals With Sisense ElastiCube might recall, a primary key is a unique identifier given to a record…
Database technology has seen rapid developments in the past two decades. Online Analytical Processing (OLAP), which gained prominence in the 1990s, gradually lost altitude in favor of in-memory databases at the start of the 21st century. However, the requirements of…
How does a detective solve a case? She pulls together all the evidence she has, all the data that’s available to her, and she looks for clues and patterns. At the same time, she takes a good hard look at…
What is MTD? What is QTD? What is YTD? Why are these useful? How do I calculate? Are you trying to find a reliable way to figure out how to answer vital business questions and establish trends over time? For…
We talk a lot about complex data and the challenges and opportunities it poses for your business intelligence. But what is complex data? And how can you tell if your organization’s current data can be considered “complex,” or will be…
The retail analytics industry is constantly evolving, meaning there is a consistent swathe of data that’s being collected every single day – from emerging trends and sales, to changes in the global market and everything in between. Gathering, measuring, and…
A brief tutorial Group by is one of the most frequently used SQL clauses. It allows you to collapse a field into its distinct values. This clause is most often used with aggregations to show one value per grouped field…
