Data engineering has changed. Due to the heavy maintenance, operational and performance costs involved in legacy data warehouses, the organization is rapidly moving towards cloud based platforms. Now the big question is – How to feed these next-generation warehouses and make the BI agile?
To solve this mystery, a whole new data model is taking shape where modern data hub is transforming the data warehousing & BI paradigm. Watch this webinar where experts from Big Data Dimensions and Lyftron discussed the strategic roadmap to modern data hub & data pipeline.
You Will Learn
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How to eliminate the complexity of data modernization in the cloud with Lyftron – an agile, enterprise-wide data delivery platform
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How to create pipelines in minutes, shorten time to insights and enhance security built for the cloud
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How to query data from Elastic, Twitter, Salesforce, Bing, Marketo, Hubspot with ANSI SQL and load into Snowflake in minutes, with a live demo
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How Lyftron enables instant access to data and effortless data replication, in days, not months
About Bigdata Dimension
How are we going to do it
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Advisory & Assessment
Start a short PoC to find out which workloads would benefit from migration. Our Advisory services enable a smooth transition.
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Data Migration & Replication
Librate your data from legacy databases with our trusted cloud migration solution to Cloud of your choice. We help you migrate from Netezza, Teradata, Redshift etc.
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Modern Data Pipelines& Architecture
Modernize data pipelines for real-time data synchronization and analytics using Lyftron
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Data Sharing, Governance & Data Quality
Our solution helps accelerate data governance modernization and eliminate data silos that enable true reporting and proper data traceability.
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Data Analytics Acceleration
Our solution empowers you to adapt new cloud data warehouse which accelerates time to reporting and business application go-to market.
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Support and Training
Have your staff trained in the new tools and architecture of modern data warehouse which enables swift transition to your team.
Use Cases We Solve
In the midst of rapidly expanding sources and volumes of data, getting value from that data is all too often hampered by challenges that include:
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Data Availability
Making updated data available to analysts is a slow and lengthy process
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Semi-Structured Data Parsing
Analysts lack easy access to all data including semi-structured data such as JSON, Avro, and XML
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Data Sources Availability
Adding new data sources requires significant time and resources
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Complex Data Pipelines
Data pipelines and flows are both complex and inflexible, often built using ad hoc and patchwork approaches
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Inadequate Data Governance
Data governance is inadequate and complex. Most of the enterprises struggled with data silos and don’t know how to get the proper reporting and insights out of it
As a result of these challenges, enterprises are unable to get key insights from data in a timely manner and spend a significant share of their time working to bring together data rather than analyzing data.