![]() TigerLogic is a software company that designs, builds and sells XML database and Rapid Application Development software products to developers worldwide. ![]() Head of Europe ermany Raining Data GĪbout TigerLogic TigerLogic is our main holding company and is headquartered in Irvine, California, with regional offices in Germany, France and the UK. fo ss u ne yo si k Than ture bu ccess in your fu su y er ev u yo I wish of Omnis Stud d mnis Studio an ur interest in O yo r. ![]() g tin op ad rs Studio is THE rig lope ading solutions number of deve eate market-le g cr in to ow s gr ni e m th O flexibility join l used the power and booklet have al on s is es th cc in su es r ei ni th compa have built ss sectors and in many busine io. your competit step ahead of Omnis nvince you that co ill w t le ok at you this bo projects, and th n provided in t io en at pm rm lo fo ve in e de I hope th l your future The software ht choice for al Omnis Studio. N r as such ay one Whateve rtunities and st and standards, po es gi op lo ss no ne ch si te adopted ickly to new bu you to react qu g in w lo al x, nu Li ors. anagement requ m n io at rm fo in and newly e all the latest at gr te in n ca Studio XML, and brings, Omnis Services, Java, re eb tu W, fu e ET th. Omnis al ke e ar at m gr e te th in on to you ity of your tools ent and allows or the complex or pm lo nd ve ve, de rm n io fo applicat rdless of plat e systems, rega and data storag irements. Google Cloud also today brought Vertex AI Workbench, a tool for managing the entire lifecycle of a data science project, out of beta and into general availability, and launched Connected Sheets for Looker, as well as the ability to access Looker data models in its Data Studio BI tool.-to-use nced and easy va ad an t, en velopm lopment any other deve fast, low cost de m es an id th ov t pr en io m st Omnis Stud return on inve eb-based d a far greater an for multi-tier, w t, en ed is nm ro tim vi op en is applications io ud St l your current t. “This ensures customers always have access to the freshest data as they can easily replicate changes from Spanner to BigQuery for real-time analytics, trigger downstream application behavior using Pub/Sub, or store changes in Google Cloud Storage (GCS) for compliance,” explains Kazmaier. In addition to BigLake, Google also today announced that Spanner, its globally distributed SQL database, will soon get a new feature called “change streams.” With these, users can easily track any changes to a database in real time, be those inserts, updates or deletes. Our customers have made it clear they need help.” As an organization’s data gets more complex and proliferates across disparate data environments, silos emerge, creating increased risk and cost, especially when that data needs to be moved. “This data is increasingly distributed across many locations, including data warehouses, data lakes, and NoSQL stores. “The volume of valuable data that organizations have to manage and analyze is growing at an incredible rate,” Google Cloud software engineer Justin Levandoski and product manager Gaurav Saxena explain in today’s announcement. “ BigLake allows companies to unify their data warehouses and lakes to analyze data without worrying about the underlying storage format or system, which eliminates the need to duplicate or move data from a source and reduces cost and inefficiencies.” ![]() “ Managing data across disparate lakes and warehouses creates silos and increases risk and cost, especially when data needs to be moved,” explains Gerrit Kazmaier, VP and GM of Databases, Data Analytics and Business Intelligence at Google Cloud, notes in today’s announcement. Through BigLake, developers will get access to one uniform storage engine and the ability to query the underlying data stores through a single system without the need to move or duplicate data. This data, it’s worth noting, could sit in BigQuery or live on AWS S3 and Azure Data Lake Storage Gen2, too. The idea here, at its core, is to take Google’s experience with running and managing its BigQuery data warehouse and extend it to data lakes on Google Cloud Storage, combining the best of data lakes and warehouses into a single service that abstracts away the underlying storage formats and systems. At its Cloud Data Summit, Google today announced the preview launch of BigLake, a new data lake storage engine that makes it easier for enterprises to analyze the data in their data warehouses and data lakes.
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