tag | 2029177e30ffb8ee0f4f0d0f577c6c0f751e5634 | |
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tagger | AlexanderSaydakov <AlexanderSaydakov@users.noreply.github.com> | Thu Aug 22 12:26:29 2019 -0700 |
object | 2cca91965b67a9aae708ed2be27e45a469c8def3 |
release candidate 1.0.0-incubating-rc1
commit | 2cca91965b67a9aae708ed2be27e45a469c8def3 | [log] [tgz] |
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author | Alexander Saydakov <13126686+AlexanderSaydakov@users.noreply.github.com> | Wed Aug 21 18:02:44 2019 -0700 |
committer | GitHub <noreply@github.com> | Wed Aug 21 18:02:44 2019 -0700 |
tree | fd5ede29bb281e1f9af4f5f81dde3b678871447b | |
parent | ad989593b24931c5695c44db427c34a2d431a090 [diff] |
Update README.md typo
This is a C++ version of the DataSketches core library. See Apache DataSketches home
Apache DataSketches is an open source, high-performance library of stochastic streaming algorithms commonly called “sketches” in the data sciences. Sketches are small, stateful programs that process massive data as a stream and can provide approximate answers, with mathematical guarantees, to computationally difficult queries orders-of-magnitude faster than traditional, exact methods.
This code requires C++11. It was tested with GCC 4.8.5 (standard in RedHat at the time of this writing), GCC 8.2.0 and Apple LLVM version 10.0.1 (clang-1001.0.46.4)
This includes Python bindings. For the Python interface, see the README notes in the python subdirectory.