Build vs. buy data pipeline: Four factors Autodesk considers
From cost-effectiveness to what adds business value — what Autodesk considers critical when deciding whether to buy versus build data pipelines.
How To Build A High-quality BI Dashboard With The Best Software Test Manager
Business intelligence (BI) involves converting data into valuable insights using software and services. It influences a company’s strategic and tactical business preferences. BI tools access and analyze data sets and show analytical results in the form of reports, graphs & charts, dashboards, summaries, and maps. This process provides in-depth insight into the situation of the business.
API Business Analytics
Business analytics is the practice of using data and statistical analysis to help businesses make better decisions. This can involve analyzing data to identify trends, patterns, and relationships, and using that information to help businesses make better decisions about their operations, marketing, and strategy.
Being a Steward of Data and Insights - Robert Brown
This episode features an interview with Robert Brown, the Senior Director of Research for the Venture Forward Initiative at GoDaddy. This is his 13th year at GoDaddy, having started as Director of Database Marketing. Prior to GoDaddy, Robert served as Director of Pulte Homes for 9 years. On this episode, Robert talks about tiering data for smarter decisioning, developing intrinsic motivation in employees, and being a successful steward of data and insights.
Discover the Advantages of Having Global Views from Angles for Oracle
The move to the cloud continues at a fast pace and if your organization embraces the future of operational reporting, then you need a plan to ensure consistent enterprise-wide reporting during your cloud journey. A top challenge of cloud migration is the need to produce consolidated reporting and analytics that cover all your Oracle ERP instances.
Cloud Object Storage-based Architectures are Natively Scalable and Available
There is a long history of clustering architectures with respect to building distributed databases for two primary reasons. The first is scalability. If a cluster of nodes has reached its capacity to perform work, adding additional nodes are introduced to handle the increased load. The second is availability. The ability to ensure that if a node fails, let’s say during ingestion and/or querying, remaining nodes would continue to execute due to state replication.
How Fivetran Ensures That Data Moves Reliably Through Data Pipelines
Fivetran, the provider of connectors that feed data into data pipelines, has had a long-standing, symbiotic relationship with Snowflake. In this episode of “Data Cloud Now,” Gautam Srinivasan, Snowflake India Correspondent chats with TJ Chandler, Managing Director for the APAC Region at Fivetran, about that relationship and about Fivetran’s mission “to make access to data as simple and reliable as electricity.”
Snowflake Announces Intent to Acquire Myst
Snowflake customers leverage the Data Cloud to bring all their data together and capitalize on the near-infinite resources of the cloud. But how can this data be used to look ahead? How can we use yesterday’s evidence to plan for tomorrow? The answer—time series forecasting. Time series forecasting is one of the most applied data science techniques in business. It is used extensively in supply chain management, inventory planning, and finance.
The eight best CDC tools of 2023
Change data capture (CDC) identifies and captures data changes in source systems. Here’s a list of the best CDC tools.
Top 3 Data and Analytics Trends to Prepare for in 2023
2022 was without a doubt a landmark year for business intelligence (BI) and analytics. With continued development of innovative and sophisticated technologies such as contextual analytics, analysis of our business data is more accessible than ever before. Many of these same trends will continue to grow into 2023, but the data analytics space is ever evolving.