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Microsoft Azure Synapse Starts Performance Benchmark Race With Amazon RedShift and Google BigQuery
Microsoft CEO Satya Nadella recently announced Azure Synapse Analytics service. Nadella claimed that its service is 75 times faster than Google BigQuery and four times faster than Amazon Redshift. Interestingly this announcement was made during a very public presentation by Nadella and not via the usual technology publication. Any organization operating in the data and analytics environment understands the importance of speed. Google and Amazon have been leaders in this space.
Microsoft Azure scores quite well in SoftwareReviews’ Big Data category. Any new offerings by Azure Synapse position the vendor to lead this market even further.
Source: Microsoft Azure Big Data on SoftwareReviews, accessed December 2019.
Sooner or later data storage and processing vendors get into performance benchmark claims and counterclaims. This has been the ongoing story between Oracle and IBM over the last few decades. Performance metrics is one type of measure that demonstrates the maturity and scalability of the underlined technology for large enterprise customers. It is often a matter of pride and demonstrates the superiority of that technology. The Microsoft CEO’s very public announcement demonstrates the commitment of the Azure platform to becoming a serious contender for customers looking for comprehensive analytics solutions.
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PHEMI is a data privacy solution focused on keeping data-processing activities secure by redacting information based on the role of the accessor. Thus, allowing such data to be used for multiple use cases without compromising privacy.
Joining the ranks of giants such as Snap (Snapchat’s parent company), Microsoft and Tesla, Immuta the automated Data Governance company has been named to Fast Company’s 2020 list of the World’s 50 Most Innovative Companies.
Databricks has launched a new Data Ingestion Network, made up of partners whose integrations to Data Ingest provide hundreds of connectors and enable automation to move disparate data into Databricks’ new storage layer, eliminating the need to maintain siloed data in a data lake and data warehouse.
The EU plans to invest €6 billion to build a single European data space, reports EURACTIV. The envisioned space will house personal, business, and “high-quality industrial data” and create the infrastructure for data sharing and use across businesses and nations.
AWS Lake Formation makes it easier for users to set up and manage data lakes. But organizations will face challenges in determining how to derive value from their data lakes.
Tableau and AWS Expand Strategic Relationship to Bring Analytics in the Cloud Closer to Their Customers
Leading analytics player Tableau recently announced its new initiative – Modern Cloud Analytics (MCA) – which sees it partnering with Amazon Web Services Inc. (AWS) to make cloud-based analytics more achievable for their customers.
Cambridge Semantics enhanced its Anzo platform to enable data management and analytics over both structured and unstructured data, the firm announced in an August 22 press release.
Several discussion threads on LinkedIn and other social media have been dedicated to the status of Apache Hadoop and the merged Cloudera/Hortonworks. Many predict their demise is not far off. How substantiated are those predictions?
Snowflake has announced a new data exchange allowing businesses to generate new revenue.